The 19th International Conference on Industrial Engineering and Engineering Management

In this paper, we analyze the echo eclipse problem of phase-coded quasi-continuous wave (quasi-CW) radar using the echo eclipse ratio function and main lobe to side lobe ratio. And then we propose a waveform design method based on long short codes and synchronous alternation of carrier frequency. This method can not only solve the severe eclipse problem of short range target and simultaneously detect the whole range, but also increase the signal complexity and decrease the probability of interception. The simulation results show that the performance of phase coded quasi-CW radar can be effectively improved using the proposed waveform design method.

Ming-style furniture is the elite of Chinese traditional furniture, which is doing well in human factors engineering. Chinese traditional armchair with four protruding ends has backrest, neckrest, armrest, footrest, and so on, which support the body properly. Based on the study of Chinese traditional armchair with four protruding ends, the practice of human factors engineering in Ming-style furniture is summarized, which is meaningful for the design of Chinese traditional furniture to develop ergonomics.

In order to promote the development of the social management mechanism on human working fatigue, and prevent the economic loss from working fatigue, it is necessary to make a quantitative evaluation on human working fatigue. First, based on the combination of entropy method, factor analysis method and comprehensive index method, this paper evaluates four fatigue indexes through questionnaires and experiments. Second, by using the improved fuzzy Borda method, this paper makes the combination evaluation of the results from the three comprehensive evaluation methods above. Finally, this paper draws the conclusion that, based on the result of the cluster analysis, the enterprise could improve its working tasks, incentive measures and working condition to reduce working fatigue.

Gun tube dynamic strength design, first of all, is to enable the identification of dynamic stress on each section of tube, and the dynamic stress calculation in analytical method or numerical method is relatively complex. For most non mechanical professional design staff, the use of finite element soft- ware interactively in the general structure of the model has certain difficulty. Therefore, the realization of gun tube dynamic strength design is an urgent need to develop a general engineering program, so that the designer can easily use this program to achieve the dynamic stress on every section of tube, and truly realize the dynamic strength design of tube. With the APDL language of ANSYS finite element analysis software platform, a suitable program for tube dynamic stress calculation procedures is developed. This program provides an engineering foundation to realize the tube dynamic strength design.

This paper mainly researches on how members of dynamic alliance make a cooperative game under manufacturing grid environment. Determined the contribution level which is made by resources suppliers to demanders by adjusting the proportion of resources provided by suppliers, so that to maximize the total revenue of this alliance. First, this paper establishes a differential dynamic equation for members of this alliance. Then it determines the performance index function of alliance’s total revenue. Finally, by using the pontryagin’s maximum principle to solve this problem, it gets the Nash equilibrium and through an example to verify the feasibility of this method.

Injection molding shop Scheduling is a large-scale parallel machine scheduling with process constraints, time constraints, earliness/tardiness penalties and due window constraints. Given the complexity of injection molding shop scheduling, a two-stage genetic algorithm is presented: the first stage is to partition jobs to machines, and the second stage is to sequence jobs for each machine. A simulation model for solving injection molding shop scheduling problem is proposed. For determining the optimal starting time of a single machine, a rule-based heuristic algorithm is also proposed. The application demonstrates the reliability and validity of the algorithm and simulation model.

Cluster tools are configurable and integrated equipment. They are widely used in semiconductor fabrication in recent years. It is difficult to effectively operate a cluster tools and schedule it due to wafer residency time constraints and activity time variation of cluster tools. The schedule effects on the time performance of cluster tools operation. In this paper, a simulation model based on Plant simulation is presented to discuss the schedule of cluster tools in steady state. This simulation model could describe and simulate the activities of robot, wafer processing and their corresponding timing of cluster tools operation. Hence, it is a useful method to analyze the time performance of cluster tools such as scheduling. Two examples are used to test the simulation model and show the proposed application of the simulation model.

QFD (Quality Function Deployment) can improve the quality of product and increase customer satisfaction, leading to superior performance of companies. But as global economy develops, the conditions wherein QFD is applied are becoming increasingly uncertain, which causes a lot of problems. Particularly, traditional techniques of QFD cannot deal with the vagueness, subjectivity and uncertainty of the linguistic information provided by customers as well as the R&D teams. This paper proposed a new model to solve such problems. We first integrated rough set theory into AHP (Analytic Hierarchy Process) to build one part of the model, which mainly deal with the uncertain information provided by customers. Then we applied linguistic information based GDM (Group Decision Making) theory to the expert assessment process to build another part of the model, which deal with the uncertain information within the R&D team.

With the improvement of the automation of the measurement processes and the complexity of products, measurement system analysis is becoming increasingly important (Supported by National Natural Science Foundation of China (No.71102140, 70931004)). However, there exists some difficulty in directly application of univariate measurement system analysis for multiple measured quality characteristics with correlation and the univariate measurement system capability index cannot be used in multivariate measurement system. Therefore, in this paper projection pursuit is used to analyze the multivariate measurement system. The best projection direction is obtained by optimizing the projection direction with Genetic Algorithm, the relationship between multivariate data and there projection is analyzed. Then three common measurement system capability indices are extended to the multivariate measurement system with the projection of the raw data in order to evaluate multivariate measurement system capability, at last the method proposed was proved by an example.

In multivariate statistical process control field, besides monitoring the changes in the mean vector of a multivariate process, it is important to detect the changes in the covariance matrix of a multivariate process. This paper proposes a multivariate synthetic control chart for monitoring the changes in the covariance matrix of a multivariate process under multivariate normal distribution. The proposed control chart is a combination of the traditional control chart based on conditional entropy and the conforming run length chart. The operation and design of this control chart are described.

In this paper, the operation of a multi-product and multi-period supply chain involving one producer and one supplier with uncertain market demands and raw material price is considered. With variations in the market demands and raw material price described by using an interval uncertainty method, a multi-objective robust optimization model is established using a robust linear programming approach. A numerical example is used to verify the proposed model, and the optimum robust operating strategy is determined for worst case supply chain conditions during an uncertain market demands and raw material price. When robust measures are adopted in the objectives of supply chain coordination and profit was maximized for all participants, the effect of market demands and raw material price uncertainty on objective values decreased significantly.

The Six Sigma quality control systems may be used to enhance consumer satisfaction with products and services on the Internet. This study applies the methodology in five steps: design, measure, analyze, improve, and control. First, we conducted a consumer acceptance survey, then we constructed a product quality matrix to determine whether any product or service is considered defective. Using a cause-and-effect diagram, we identified the major causal categories of consumer dissatisfaction, prioritized product improvement targets, implemented a holistic analysis of the defective service, and generated specific strategies. We also initiated concrete improvements to the defective products and services, established standard operating procedures and a knowledge management system to standardize operations and maintain long-term control.

This paper aims to improve a production process of a laser computer mouse by using the Six Sigma DMAIC Methodology. This study focuses on the functional test procedure because of its lowest yield. The regression analysis and two-level factorial design of experiments is employed in order to determine the optimal conditions of parameters. By operating under these resulting conditions, yield of the functional test procedure increases from 96.2 to 98.6%.

To improve the printed circuit board (PCB) manufacturing process, it is important to have an automatic inspection system that classifies information regarding defects in solder joints. This paper proposes a quality decision system for solder joint defect classification on a PCB. An experiment was conducted to demonstrate the application of this technique. The results showed that the inspection accuracy reached 94%, which is superior to the results achieved by other methods. The results of this study provide an effective solution for the inspection of the solder joint quality.

As a special kind of logistics activities, sports logistics affect deeply the rapid development of logistics industry in China. In this article, the author analyzes the present requirement of events sports logistics in China using literature and logical reasoning, the article analyzes the problems of sports logistics in present development, and on this basis to explore the frame structure of events sports theory research, so as to perfect further sports logistics theory.

In competing channels with a dominant retailer, the article first calculates equilibrium outcomes under three power structures. Then it analyzes the effects of the reservation price difference and internet channel on channel members’ profits. Finally, it investigates dual selection equilibriums of competing channels based on internet channel and power structures. The study shows that with the enhancement of consumer preferences for internet channel, the possibility of opening an internet channel will increase for manufacturer. However, the manufacturer’s profits may not increase when it opens an internet channel.

In the past few years, the problem of supply chain uncertainty attracts more and more people’s attention. However, people place almost all their focus on demand and supply uncertainties and seldom study operating uncertainties of supply chain. This paper investigates the problem of operating uncertainty from the aspect of oligarch competition. First, we examine the supply chain, one supplier and two competing retailers, coordination mechanism with a revenue sharing contract and a quantity-discount contract under a deterministic environment. Second, we assume the retailers’ uncertain behaviors, price competition, occur. Then, we discuss the supply-chain ripple effect due to duopoly retailers’ price competition with the two different contracts. By comparing the intensity of the supply-chain ripple effect with the different contracts, we find out that the quantity-discount contract can be well suited to the uncertain environment.

In today’s globalized competitive environment, realizing the fact that the individual resources are insufficient, more and more companies are gradually deepening the understanding and awareness of the win-win business model and alliance. Under the influence of the concept of service-dominate logic, and value co-creation, a relatively new concept, has attracted the attention of scholars. This study focuses on the inter-enterprise value co-creation and its mechanisms. Basing on resource theories, we analyzed the relationships among asset co-specialization, technical dependence, inter-enterprise value co-creation, partnership quality and innovation. A conceptual model is developed.

The cold chain management plays a strategic role for the quality of fresh food arriving to the consumers. This research describes the structure of fresh food cold chain logistics system and identifies the safety risk factors impacting to fresh food at every link of the cold chain, and then analyzes the fresh food safe risks from the cold chain logistics system using the Analytic Hierarchy Process (AHP) and the Risk Priority Number (RPN) methodology, and considering the time-varying of the system. The methodology can find out the key risk factors and the weakest link in the fresh food cold chain logistics system so as to improve the performance of the cold chain system.

Networking growth based on outsourcing has become an important organizational mode of firm growth, firm network capability concentrates on reflecting elemental basis and managerial efficiency of outsourcing. This paper reviews relative literature of firm network capability at home and abroad, based on “process perspective” of network activities, it proposes a “process perspective” basic framework of firm network capability by refining content and feature, identifying constituent elements and dividing dimensions, combing influential factors and mechanism of action.

The Dijkstra algorithm is the classic algorithm to solve the shortest path problem, but the solving process is relatively complicated. As the visual graphics ability and good computer skills of Petri Net, it is used to solve the shortest path problem, and according to the thought of directed Petri Net and transition enabled rules, Petri Net algorithm of solving the shortest path problem is designed. Compared to the Dijkstra algorithm, this algorithm which omits the P, T tabs and λ, S functions of the Dijkstra algorithm, can make the solution of the shortest path simpler and more convenient, improve the solution efficiency, and at the same time provide convenience for achieving algorithm objectively using computer.

Although employee satisfaction has been well explored in academic literature, there exists little research on this subject with respect to steel plants, especially to different level employees in China. In this paper, the latent variables including employee relationships, salary, career development, organization provision, and employee satisfaction are constructed based on previous literatures. The objective of this paper is to explore the different relations and effects of these latent variables between production workers and managers in C steel plant which is a representative Chinese steel plant. Data obtained from the questionnaires was analyzed by structure equation modeling by AMOS 17.0. The analytical results show that: production workers are more care about their salary while managers pay more attention to organization provision and relationships; for both production workers and managers, the covariance between salary and achievements is negative, which indicates that employees feel their salaries are not enough to fit their efforts.

Performance evaluation plays an important role in the customer relationship management (CRM) process. This paper is to evaluate CRM performance of investment consulting business of securities companies based on analytic hierarchy process and fuzzy comprehensive algorithm through the establishment of evaluation indicators. At the end of the paper, a securities company is taken as an example to analyze the performance of securities investment consulting business customer relationship management and come to the corresponding conclusion.

With the aggravation of market competition, more and more enterprises are using loyalty card targeted promotion as an important means to cultivate a stable group of consumers and build competitive advantages. In this paper, we mainly discuss the popular ways of issuing loyalty card such as “purchase”, “buy gifts”, “buy + 10” and “complimentary”. What’s more, we use membership base, the number of repurchase, the issuing income as the evaluation indexes to establish the model of selecting loyalty card issuance method based on fuzzy set pair analysis. The model can provide method to issue loyalty card for enterprises.

For the problem of complex network community detection, propose a new algorithm based on genetic algorithm to solve it. This algorithm sets network modularity function as target function and fitness function, uses matrix encoding to describe individuals, and generates initial population using nodes similarity. The crossover operation is based on the quality of individuals’ genes, in this process, all nodes that weren’t partitioned into any communities make up a new one together, and the nodes that were partitioned into more than one community are placed into the community to which most of their neighbors belong. The mutation operation is non-uniform, which splits the mutation gene into two new genes or fuses it into the others randomly. The experiment proved that this algorithm could effectively detect communities in complex networks.

The scientific study of networks, such as social networks, biological networks and computer networks, is an emerging filed. A large number of recent works have been devoted to the study of community structure and topology in networks. In this paper, we use a function-call graph reconstruction algorithm and present a complex network approach to the study of software engineering. We have examined a function-call graph of software system, and found it to reveal small-world, scale-free features which are similar to those identified in other technological, biological, and sociological systems. The result can contribute to the maintaining of software systems.

Fault detection and diagnosis for sensor are necessary, which affect the performance of the thermal power plant of wet flue gas desulphurization system seriously. A fault diagnosis method using kernel principal component analysis (KPCA) is proposed to affectively capture the nonlinear relationship of the process variables, which computes principal component in high dimensional feature space by means of integral operators and nonlinear kernel functions. The faults are detected by calculating the statistics of the square prediction error (SPE) and identified by calculating the change diagram of contribution percentage of Hostelling

$$ {T^2} $$

. At last, employing the actual data from wet flue gas desulphurization system of Huaneng Fuzhou power plant, it’s proved effectively to detect and identify four kinds of faults, which is the complete invalidation fault, fixed bias fault, drift bias fault and precision degradation fault. The result shows the KPCA method has a good performance in fault detection and diagnosis.

With the development of industrial engineering, it is the bounden responsibility of colleges to develop engineers which can meet the needs of the society. Mental health level of engineering talents has a profound impact on engineering talent structure. Many of “perfectionism” personality traits of the individual resulted in many serious physical and psychological problems that are eroding physical and mental health of people which has become a serious social problem. In this paper, the perfectionism personality of individual acts are shown on the principal-agent theory, namely through the establishment of a two-stage dynamic game model to explain the behavioral choice between “ideal self” and the “actual self” and other possible incentive problems caused by repeated games (“ratchet effect”). The key point is tried to be found which cause individual strange thinking model. The internal mechanism is further analyzed through the model in order to promote engineering talents’ growth and development.

Our research integrated the Internet-enabled Process View (IEPV) and the IT-izing process of business capability to explore the internal formation mechanism of inter-firm eBusiness capabilities. According to the enterprise survey data, we used SPSS18 and LISREL8.72 to verify the formation model of inter-firm eBusiness capabilities and found that the formation of the inter-firm eBusiness capabilities was the process of inter-firm eBusiness capability needs → inter-firm eBusiness resources → inter-firm eBusiness capabilities. We also revealed the moderating effect of formal governance in the process of inter-firm eBusiness resources → inter-firm eBusiness capabilities. These findings have important theoretical and practical implications when guiding enterprises to establish the inter-firm eBusiness capabilities in multiple organizations environment.

Prior research has provided valuable insight into how and why individual make a decision on the acceptance and use of information technologies (ITs) in the organizations. In practice, however, the diversity of IT and managerial task make these theoretical models not always work. To reinforce understanding about the drive mechanism of users’ IT usage, we draw from the representative researches on the technology acceptance model (TAM), and: (i) review and develop an integrated model of determinants of individual level IT usage from both cognitive and emotional perspectives; (ii) discuss the moderating effects of experience, commitment to use, task complexity, network externalities and instrumental on the relationships between determinants and user behavior.

A semantic ontology of requirement-product-process-resource (RPPR) is developed to model the whole product lifecycle information in this study. The ontology is consisting of four parts, i.e., requirement model, product model, process model and resource model, which represents requirement information, product information, process information and resource information of the product life cycle, respectively. The ontology model can offer well-defined semantics for information sharing and reuse between different organizations and software systems. A case study is also presented in the paper to demonstrate the application of the ontology model.

The traffic flow of periphery area between freeway and urban expressway needs scientific and accurate control. We should establish reasonable policies and measures to control the traffic; guide travel by economic measures, and reduce traffic congestion. The adaptability of existing congestion charging and traffic growth is different. This article summarizes the periphery freeway congestion mechanism by supply and demand theory, resource scarcity theory. Based on the comparison between the charging models at home and abroad, it builds the bi-level programming model for periphery freeway congestion, turns the traditional toll mode into congestion charging, and takes freeway G2 as an example. Practice proves that the methods are feasible and efficient and it could provide the foundation for alleviating traffic congestion of periphery area (Fund Project: 863 Program, Project number: 2007AA11Z213).

According to the theory of behavior finance, the model of information-based manipulation in Chinese stock market is studied in this paper. Meanwhile, the trading strategies of different traders are analyzed by using restriction of financing and security loan, on the basis of which the equilibrium outcomes of stock manipulation in different periods are obtained. Furthermore, the influences of margin deposit ratio and the rationality degree of semi-rational noise traders on stock market are discussed. Finally, some policy advices are given in the light of model analysis.

In the process of construction, project schedule delay often occurs due to various reasons. So it’s especially important for contractors to make reasonable use of claims to compensate for project loss and improve economic performance. Base on that, the paper stood in the perspective of the contractors, dividing the responsibility of the two parties in the claims caused by extension of time, further identified factors that induced extension of time and determined the key factors by SPSS. Then the paper analyzed the calculation methods of claim for extension of time and cost in terms of the key factors, finally confirmed the specific claim content and calculation for contractors once extension of time appeared.

Concessionaire selection method has drawn much attention worldwide recently. The government of Dalian has developed well-structured concessionaire selection criteria in China. This paper analyzes and summarizes experience from this concessionaire selection practice to improve procurement efficiency of regions lacking such experience or methods.

The opportunism and information asymmetry between the two parties of a contract alteration give rise to the phenomenon of hold up and underinvestment, as well as the moral hazard problem of hiding information from the other party. This article built up the optimal contract model under asymmetric information by using the principle-agent theory and studied the above problem. The article proved that, under the conditions that the contractor hides information, the optimal contract would decrease the special purposed investment levels, prolong the time limit of the engineering project, and decrease the owners’ utility.

This paper establishes the monitoring system of advanced metering infrastructure by power line carrier. The communication between these modules is accomplished with power lines. The master module consists of a signal transform circuit, a LCD circuit and a keyboard circuit. The master module can measure the real-time states, including the voltage, the current, the real power and the reactive power, etc.,. The control modules can be divided into types, one is air conditioning control and another is illumination control. Each control module consists of a signal transform circuit, an AVR microprocessor, a keyboard decode circuit, a LCD circuit and a power line carrier circuit. It has the functions of local and remote monitors. The air conditioning control module is installed an infrared rays control circuit for the air condition device, and the illumination control module is added a power control circuit for the illumination load.

Equipment monitoring and management based on IOT technology improves the efficiency of equipment monitoring and management, makes equipment management intelligent. A remote equipment monitoring and management system based on IOT is introduced in this paper. It is used in the lab of Beijing Jiaotong University. This system consists of three parts. The first is a perception node module, the second is a wireless multi-hop data transmission module and the last is a center management server. The design of those three parts is introduced in the paper. The real performance of the implemented monitoring and management system shows that the system works effectively and efficiently. This system can be expanded to suitable management systems in various trades and industries.

This paper proposes an integrated planning and execution model for supporting emergency command and controlling process during emergency response. Firstly, a common incident action plan is designed for representing all the actions of responders and relations among them. Additionally, the planning process and execution process based on the incident action plan are introduced.

The purpose of this paper was to identify and get insight into the structural effects of the main factors that affected consumer purchasing intention towards slimming underwear by Structural Equation Modeling, based on the Theory of Planned Behavior. This study provided useful and practical suggestions for the seamless underwear industry, as the information provided in this study was essential for the development of marketing strategies. In spite of many studies that researchers had made of apparel consumer behavior, little was applied to the research of the underwear market. Therefore, the value of this paper lay in its presentation of a structural equation model for factors that affect consumer purchasing intentions towards slimming underwear, with the originality of taking both perceived benefit and perceived risk into consideration, whereas only one of which was explored in past studies of consumer behavior.

The existenceFoundation item: This work is supported by National High-Tech. R&D Program of China under Grant NO. 2011AA040603, Natural Science Foundation of China under Grant NO. 70871060 and the Fundamental Research Funds for the Central Universities of China NO. NUST 2011XQTR10. of common tasks among models is a major feature of the mixed-model assembly line, traditional research were always done without precedence conflicts, so that the problem is simplified. However, the different production processes for different products often lead to conflicts in the actual production. The problem considered in this paper is how some common tasks can be duplicated to improve a mixed-model assembly line considering the precedence conflicts among common tasks for different products. Model was subjected to the constraint of precedence, assignment and cycle time; the objective function combined the efficiency with the smoothing index which can effectively distinguish the same number of workstations solutions. In addition, an ant colony algorithm with hybrid search mechanism is designed. Finally, the proposed mathematical models are illustrated and validated by means of a numerical illustration.

China’s listed companies have short-term debt financing preference. But institutional shareholders have the ability to influence the company’s financing decisions. Through the analysis of 2009–2011 data, we found that the proportion of institutional investors holding has a significant negative correlation with the level of short-term debt. The results show that institutional investors effectively participate in corporate finance. Institutional shareholders inhibit short-term debt financing preference. The positive action is conducive to the development of capital markets and the improvement of governance structure of listed companies.

The multi-product supply planning problem is investigated in the battlefield environment. The practical quantity of the products consumed by the combat units is stochastic, while the supplying process is also uncertain because of the random loss caused by attacks from the enemy. A nonlinear programming model is proposed to optimize the problem with both uncertain demand and supply consideration, and a solution algorithm based on Lagrangian relaxation is developed to obtain the optimal solution. Randomly generated examples involving 10, 100 and 1,000 commodities respectively are solved by the proposed algorithm. The computational performance of the algorithm is analyzed, which shows that the proposed algorithm can obtain optimal solutions for all examples with different sizes in short time.

This problem is to optimizeThis research is partly supported by State Key Program of National Natural Science Foundation of China (71032004), the Fundamental Research Funds for the Central Universities (N090104002, N100704002) and by the 111 Project under Grant B08015. the layout design of blocks in new container yard. The yard cranes have restrictions on the width of blocks, and the layout of blocks and berths also have important impact on the driving route of yard trucks. Making use of bays, the lengths of blocks are discretized. An integer programming model is proposed for this problem, whose objective is to maximize the efficiency of trucks and the number of bays. In this model, there is also a lower bound on the minimum number of bays. Based on the characteristics of this model, a Filter-and-Fan algorithm is developed to solve this problem. The experimental results show the effectiveness of algorithm.

The model of extended producer’s responsibility (EPR) has been widely used for construction projects supervision. This paper mainly focuses on environmental governance based upon EPR model, from the perspective of game theory application. Moreover, a dynamic non-cooperative game theoretical model is built aimed at maximizing both economic and environmental benefits, in order to find out the main factors that may affect the producer’s effort level. This paper also provides theoretical support for the environmental management of construction project as well as aids to improve the exiting supervisory mechanism of environmental protection.

Stock valuation is an important aspect of corporate investment activities. But the current methods used by assets appraisal institutions in our country are not quite reasonable. In this paper, a stock valuation modeling method based on multiple linear regression analysis is proposed. It attempts to reveal the intrinsic relationship between stock price and financial indicators of a listed company. By making an empirical case study of listed mechanical industry companies, this paper validates the feasibility and adaptability of this new modeling method, and tries to set up a reasonable stock valuation model to be taken as a reference for assets evaluation institutions.

Reasonable choice of scheduling strategies to optimize the process of production scheduling is an effective way to improve the economic benefit and market competitiveness of manufacturing enterprises. This paper proposes a BPSO-SVM-based dynamic scheduling rule selection approach for semiconductor production line. This approach combines with feature selection algorithm based on semiconductor production attributes and dispatching rule classification algorithm. It finds appropriate feature subsets and SVM parameters by feature selection algorithm and finds real-time optimal scheduling rules effectively under one better performance according to the status of the production line in a SVM classification model by classification algorithm. Finally, the approach is verified on Mini-fab, a typical model of semiconductor production line.

This paper is concerned with the inverse Data Envelopment Analysis (inverse DEA) when the production function exhibits constant returns to scale (inverse CCR). The inverse CCR problem is the reallocation of input resources to a particular decision-making unit (DMU) given that output values of the DMU are changed and relative efficiencies of all DMUs should remain the same. We focus on the problem where increases of some outputs and decreases of other outputs of the considered DMU can be considered at the same time. The proposed inverse CCR model is a multi-objective nonlinear programming problem (MONLP). We show that a Pareto solution to the MONLP can be obtained from solving a proposed linear programming model. We also investigate the relationship between the changes in input and output values of the particular DMU.

With the extensive application of human machine interaction, user-interface design is currently a significant issue in intelligent portable devices. This paper focuses on the user-interface design and proposes an efficient procedure for the key configuration in the user-interface of intelligent portable devices. In this paper, we assume a possible operational user-interface scenario and adopt revised genetic algorithms to generate an adequate key configuration and friendly user-interface in audio-visual software. The proposed methodology may accelerate the procedure of user-interface design, and easier to obtain user-interface patterns. The entire protocol has the potential to be applied to other related intelligent devices, and offer an alternative user-interface design in intelligent portable devices.

This paper addresses a production and procuring problem for fresh ginger rhizomes in a real-world pickled ginger industry. Planting and harvesting schedules affect fresh ginger rhizomes requirements for producing a pickled ginger. The management faces with the unbalance of fresh ginger rhizomes supply due to the lack of a decision support tool. Consequently, the requirements of the plant are not satisfied. A mixed-integer linear programming model has been developed for the problem to minimize the total cost, including cultivating cost, harvesting cost, inbound transportation cost, and purchasing cost. The numerical examples using the data from an industrial case study of pickled ginger plant are presented to illustrate how the proposed model could be applied to actual systems

.

For mechanical component, there are usually several different processes which can cause the component to failure. In this paper, the reliability modeling is studied for the component which has two kinds of failure processes, i.e., degradation process and random shocks. The Wiener process is used to describe the degradation process, the cumulative effect due to random shock on the degradation process is considered, and the effect of shock is discussed. The parameters of the model are estimated by the maximum likelihood estimation method. A case study of fatigue crack growth is provided to illustrate the proposed model and method. The reliability assessment results are also compared with the method of normal distribution. The results show that considering the impact of shocks can obviously lower the reliability of the system. Thus, the effect that the shocks act on the degradation may not be neglected.

Software testing is becoming a relatively independent activity of software development process. To estimate the cost of software testing is an important part of project management. The researchers have focused on the software cost and treated software testing cost as a part of the total software development cost for several years. Few researchers consider software testing as a separate process to estimate its’ cost. This paper proposed a new constructive cost model for software testing project management (CCMST) which contains the main cost divers of software testing. The cost drivers included in this model is more comprehensive than former models. Application case study proved the model is usable and valid.

Catalytic combustion gas detectors are widely applied in air detection of dangerous places, such as petrochemistry industries and coal mines. Correction coefficient is a significant fact to using correctly. In this article, the author discussed the reasons why the correction coefficients are similar but different, explained the principle of selecting correction air, analyzed the influence of correction coefficients on measurement, summarized the problems in using and finally put forward some suggestions.

In this paper, risk factors of casualty in building fires which can be used in risk assessment have been identified by two methods. One is event tree analysis (ETA) method; the other is fault tree analysis (FTA) method. Combined with Fire Statistical Yearbook of China and literatures, the reasons of casualty in building fires were analyzed with 109 cases happened in China from 2001 to 2010. Six types of risk factors have been seek out from a list of basic matters which had been produced through the cases used the two methods above, and these factors will be adapt to the modern complex building constructions. The results will have important implications for fire prevention planning and fire management in the future.

Motivated by the increasing needs for key performance index related fault detection in complex electrical equipments, this paper proposes the subspace aided data-driven robust fault detection technique. The main idea is to use the original test data to identify the residual generators firstly, and then make use of performance indices to design of robust residuals which are robustness to non-quality variables and sensitivity to quality variables. Robust and robust reduced order residual generations are proposed, and finally the proposed methods are certified by application on complex electrical equipment.

Behavior among the alliance partners can be divided into two kinds of reciprocity and opportunism. Based on evolutionary game theory and methods, it constructs Prisoner’s Dilemma evolutionary game model for behavior selection among partners under a default punishment mechanism, and analyzes the asymptotic stability of the behavioral strategies evolution in different punishment situations. The results show that: When liquidated damages are large enough to compensate for both the net loss of deception in reciprocity and the difference between the temptation earnings and the cooperation gains, it will be unprofitable to take opportunistic behavior, and both the two sides will adopt the win-win strategy of reciprocity behavior as evolutionary stable strategy. Finally, the numerical simulation analysis is taken to verify the correctness of the conclusion. The conclusion can be used as the reference of the cooperation agreement established among the partners.

In this paper, first of all, a four-dimensional dynamic economic system is established. First, choosing the saving rate as the bifurcation parameter, the stability and Hopf bifurcation of the system are studied. Then, a example of simulation of the model is used to prove the derived results in Sect

57.2

. Furthermore, a time-delayed feedback is added to the dynamic finance system. Choosing the delay as the bifurcation parameter, the local stability and the existence of Hopf bifurcation of the model with delay are researched. Stability changes and Hopf bifurcation happens while the delay passes through a critical value. We can see that increasing the delay can lead the dynamic economic system to fluctuate. Then, a numerical example is taken to confirm the theoretical results obtained in Sect.

57.3

. Finally, some conclusions are made. This paper has an important theoretical and practical significance.

A class of nonparametric variance model with weakly stationary linear innovation process is considered in this paper. Based on polynomial spline method, optimal global rate of convergence of the estimator of nonparametric variance function is obtained. The methodology is illustrated by simulation and real data examples.

In order to overcome the limitations of little used information and low accuracy for single stock market prediction model and the limitations of exponential trend for GM(1,1)-Markov combination forecast model, GM(1, N)-Markov model is suggested in this paper. Positive analysis is done for Shanghai composite index (monthly closing price). The results show that the established GM (1, 3)-Markov model outperforms the GM (1, 1) model and the GM (1, 1)-Markov model.

Modeling and simulation of the fixed-point maintenance support system of mechanization army division based on HLA was advanced to the requirement of evaluation of maintenance support efficiency. In order to increase correctness, reusability and interoperability of the system, the conceptual modeling technology, HLA technology and VV&A technology are used to develop the simulation system. Firstly, composition and running process of fixed-point maintenance support system of mechanization army division are analyzed in detail, and the conceptual model, mathematical model, index system and evaluation model of maintenance support efficiency are established. Secondly, the system frame and total running flow of the simulation system based on HLA are designed, and a VV&A process model for Federation Development and Execution Process is introduced. At last, the simulation system of fixed-point maintenance support efficiency evaluation of mechanization army division is developed to simulate the materiel maintenance support activities under the task background of the mechanization army division’s attack warfare.

Government plays important role in the evolution of Industrial Ecosystem. To explore the influence of government’s intervention on IE, an evolutionary game model with adjustment parameters, which represent the intervention actions of government, is established, and then is integrated into multi-agent simulation system. The evolution process of the IE is simulated and analyzed by the simulation with different value of adjustment parameters. The results show that the influence can be different according to the level of government’s intervention, and certain level of intervention actions can guarantee the evolution process of IE towards “Eco-efficiency”.

Natural disasters may inflict significant regime switching of financial market volatility spillover. Using Japan and other four world’s major stock market indexes, this chapter examines if any regime switching occurred across financial markets after the 2011 Japanese earthquake based on copula model. The results indicate that strengthened cross-markets regime switching with significant evidence of volatility spillover are noticeable for Japan-Hong Kong, Japan-US and Japan-China pairs. Every national/regional stock market is found to suffer on the effect by the 2011 Japanese earthquake.

On the basis of GEM (Growth Enterprises Market) listed companies’ financial data in 2011, this thesis builds a comprehensive assessment system for the company performance with application of factor analysis to examine whether there’s distinct difference or not between the companies having or not the stock right incentive mechanism with the adoption of independent t-test. Through the empirical tests we concluded that: there’s no distinct difference on the performance of these two kinds of companies and the implementation effect of the stock right incentive mechanism in GEM is still not very obvious. This thesis conducts detailed analysis on the current situation of stock right incentive mechanism in GEM and the managing structural characteristics of GEM listed companies and presents corresponding policy suggestion for the existing problems.

Based on a 5 years’ data from 2007 to 2011 of 185 China private real estate companies listed in shanghai and Shenzhen stock market , this paper makes an empirical study on the effects of the deviation between control right and cash flow right on benefit embezzlement. Furthermore, the function of outside director and institutional investor is analyzed. We document that benefit embezzlement is positively associated with the deviation between control right and cash flow right. Then, we find benefit embezzlement is negatively associated with the rate of outside director to directorate, and it is irrelevant to institutional holdings. Furthermore, our results suggest that the influence of deviation between control right and cash flow right on benefit embezzlement is weaker when the rate of outside director to directorate is high.

Restricted by the factors of institutional system and information asymmetry, private firms are confronted with serious credit discrimination in the bank financing. Based on extant literatures studying the loan effect of political connections, this paper investigates the correlations between the political connections of private enterprises and bank loan pricing. The result of this paper indicates that political connections of private firms have the debt cost effect, thereby helping private firms finance with relatively low bank loan rates, which provides the new proof of the impact of political relationship on the credit discrimination that private corporates encounter from the bank loan pricing perspective for the extant literatures.

Starting from “incentive effects” and “encroachment effects” of the largest shareholders, this article analyzes how the largest shareholder’s changes of stake and nature affect cash value. Empirical studies show that, when financing constraints, caused by the largest shareholder’s moral hazard, do not exist, the relationship between stake and cash value is significant inverted U-shaped, and while the largest shareholder is government, it will weaken the positive effect of cash holdings on firm value; relative to non-government-controlled companies, the government-controlled company’s cash value is lower. When the above-mentioned financing constraints exist, the largest shareholder’s influences on cash value is not significant, but it can be seen the largest shareholder has negative effect on cash value in company with a high degree of financing constraints, which indicates that in the financing constrained company, largest shareholder’s “encroachment effects” is on the performance.

This paper investigates the influence of the corporate income tax reform in 2007 on capital structure choices of firms in China. The results show that corporate income tax reform decreases the effective tax rate of firms totally. The effective tax rate decreases from the year of the reform and then goes up with the increase of the average leverage during the year of 2009–2010. The results also show that the corporate income tax rate is a determinant of capital structure and the change of effective tax rate has positive impact on the change of leverage. There is no evidence that non-debt tax shields are determinants of capital structure and there is not a substitution effect between debt and non-debt tax shields in our sample.

The loan’s portfolio is a hot issue in bank’s risk management. This paper puts forward an optimization model of loan’s portfolio by using geometric spectral measure of risk to control extreme losses of portfolio. These innovations are as follows: firstly, the greater weight is distributed to greater extreme losses by the risk aversion function, which controls the risk of extreme losses. The risk aversion function fits investors’ risk aversion characters. Secondly, an objective weight is given to extreme losses which avoids personal choices. Thirdly, the probability of disaster’s risk occurrence is reduced while taking the geometric spectral measure minimum as an object function.

This paper studies the exchange rate exposure of wood furniture companies of China by using the Shanghai and Shenzhen A-share market listed companies as a basis for our sample. We use the enterprise unique exchange rate index to improve the model and analyze the sensitivity of the stock returns of listed companies to different lag period changes in exchange rates by using distributed-lag model. We also study the influence of marketing strategy in the choice of the market on lagged exchange rate risk. The results show that the foreign market share is proportional to the risk exposure and the market dispersion is in contrast with risk exposure (MOE Research Project Fund of Humanities and Social Sciences (No. 09YJA630031) and Hunan University Research Projects (No. 09HDSK092; No. 11HDSK118)).

Considering the individual characteristics of chairman and organizational environment, this paper constructs a comprehensive evaluation index as proxy measure of chairman overconfidence and develops a panel regression model to empirically examine the impact of chairman overconfidence on corporate dividend policy. The results show that there is a notable negative correlation relationship between overconfidence behavior of the chairman and the dividend payout policy in China’s listed companies. Relative to the rational chairman, overconfident chairman will be less likely to pay cash dividend.

CIO and top management team, called as information system leadership team (ISLT), are the key leaders during the development of information systems (IS). Without the coordination among the members of ISLT, IS success will be impossible. The quality of the partnership is one of the key successful factors of IS. However, the measurement of the relationship remains unsolved. In prior studies, two concepts (i.e. shared knowledge and shared understanding) are often found in literatures. Even so, some authors think they are the same construct and use them alternatively. And others distinguish one from the other and measure them with different scales. In this way, this paper will reconstruct the two concepts and put forward the propositions to describe the relationships between them.

According to the existing academic research, it appears that consumer’s environmental awareness do not keep in line with green purchasing behavior. In this paper, the author tried to demonstrate the relationship between environmental awareness impacts and green purchasing behavior. Green perceived value was added to the regression model, finding that the impact of environmental awareness on green purchasing behavior was mediated by green perceived value. Meanwhile, it is known that green perceived value consists of healthy value, emotional value, image value and environmental value, which is different from traditional products’ perceived value.

Sustainable construction is generally regarded as the specific application of the thought of sustainable development in construction business. This study specifically demonstrates the importance of public participation towards sustainable construction, and establishes an analysis framework of public participation in sustainable construction. The goal of this research is to better understand the relationship between public participation and sustainable construction. Some index like public participation index (PPI) and sustainable development Ability (SDA) is introduced to measure the sustainability and public participation in construction project.

Emerging strategic marine biological medicine virtual industry cluster (ESMBMVIC) is a new kind of cluster mode in knowledge economy field. Since ESMBMVIC has the unique characteristics of high technicalization and cluster virtualization, cooperative and competitive activities of ESMBMVIC have characteristics of complexity. Therefore, it is an important issue for ESMBMVIC to describe the characteristics of complexity and measure the complexity. In this paper, the basic cooperative and competitive value net model and DNA structure imitation cooperative and competitive value net model of ESMBMVIC have been established to make concept extraction on cooperative and competitive activities. On the basis of those value net models, the characteristics of complexity of ESMBMVIC have been further analyzed, which have also been measured combined generalized entropy theory.

The orientation and realization of urban integrated transportation hub project is established on the basis of the satisfaction of stakeholders’ interest demands. It is crucial to recognize the parties related to the project and to analyze the needs of every part for realizing the value of urban integrated transportation hub project. Based on the stakeholder theory, taking Tianjin station as an example, to recognize and define the stakeholders of integrated transportation hub project of Tianjin station, then confirm the core stakeholders and analyze the interests demands, finally determine the project functional demands which provides effective evidence for construction of urban integrated transportation hub project.

This study analyzes the mechanism that environmental policy affects enterprise-hiring decisions. By decomposing the substitution effect and cost effect by mathematics and graphs, it shows that the impact of environmental policy on enterprise hiring decisions is uncertain. The net effect depends on the substitutability between labor and other inputs, the selected environmental policy instruments and the harmonization of these instruments.

Based on the view of value structure, the mechanism of the synergy of enterprise network organizations has been studied in use of the analysis method of transaction costs. The findings suggest that correct cooperative strategy, appropriate distribution of relationship rents, mutual trust and commitment help the organizations achieve synergy. Moreover, the perfect cooperative strategy is the key condition of the achievement of high-order synergy, meanwhile the commitment of organizations is the key condition of the achievement of low-order synergy.

Taxis are an important supplementary and complementary tool of public transport and analysis of passenger satisfaction aims to identify existing problems in the process of taxi service, then to propose improvements. By fuzzy analytic hierarchy process and grey relational analysis, to calculate the weight and correlation degree of the impact factors, then to obtain the key factors. The data analysis shows that the range of between dissatisfaction and the general, it is in the lower level. The waiting time, refusing to take passengers, service attitude and complaints handling are the most dissatisfied factors. The government should improve the overall satisfaction of the taxi passengers from three strategies about raising the price of the taxi, developing the public transport, strengthening management.

AlthoughThis research is supported by the Special Foundation of Key Disciplines of Shaanxi Province (Grant: 00X901) and the Soft Science Foundation of Shaanxi Province (Grant: 2012KRM118) the important role of service quality and customer satisfaction has been generally recognized, almost all the studies have been based on the cognition. Recent researches suggest that consumption emotions have important impact on both of them. Based on a framework of “Attribution—Emotion—Action” come up by Weiner, this article develops a model including emotion, cognition, service quality and customer satisfaction. The model and hypotheses are empirically tested, the results indicate that consumption emotions are significantly related to consumer cognitions, both of which have significant influence on total service quality and customer satisfaction. Positive emotions have positively significant influence while negative emotions of self-attribution and external attribution are significantly and negatively related to total service quality and customer satisfaction.

This study explores the relationship between the healthy organization and three structural dimensions and organizational performance by 188 subjects in a manufacturing company. The results show that three structural dimensions of healthy organization that include organization's physical and mental harmony, competence and efficiency, innovation and development have positive impact on organizational performance by controlling for three demographic variables: age, seniority and education. Healthy organization also has positive impact on organizational performance.

Express industry, a fast-developing sector, is facing increasingly fierce competition. As a service industry, the aim of express enterprises is to satisfy customers. Therefore, it’s necessary to apply quantitative analysis on customer satisfaction of express companies. For this reason, this article established the express enterprise customer satisfaction evaluation model and the customer satisfaction index system. Then this article applied the model to an express enterprise and evaluated its customer satisfaction using Analytic Hierarchy Process and Fuzzy Comprehensive Evaluation. In this way, this article provides an effective method and tool for express enterprises to identify customers’ demand precisely as well as enhancing their competitiveness.

In recent years services have been used to enhance the competitiveness of enterprise products and obtain new value in domestic and foreign manufacturing. In this paper, two enterprises service enhancement modes based on urban rail transportation equipment manufacturing cluster in China are proposed. And the mechanisms of these two modes are analyzed clearly. The results show that the two service enhancement modes can contribute to the sharing of enterprises knowledge, promote the learning process among enterprises and optimize the interaction between enterprises and their customers within the cluster.

As an important indicator to measure the technical and tactical performance of certain equipment in its use and various security activities, service life must be taken strict control to prevent it from retirement or cannot work normally caused by the end of service life. Therefore, a control model of service life is set up to maximize its use efficiency on the basis of full study on the existing security model of the equipment. In this paper, a comprehensive evaluation method is used to study the equipment’s service life, and a new protection method is provided to improve its use efficiency.

Customer relationship quality is an important factor to affect customers’ future continuous interaction with enterprises. The study analyzes the mechanism of the impact of customer relationship quality on repurchase intention from a new perspective, and develops a theory framework by taking post-purchase perceived risk as a mediating variable. Meanwhile, it collects data from the perspective of online customers, and has an empirical test of underlying assumptions. The empirical results indicate, customer satisfaction and trust both have an indirect positive effect on repurchase intention by taking post-purchase perceived risk, mainly economic, functional, service and psychological risk, as a medium. Findings of the study show the evaluation and mechanism of post-purchase perceived risk, and enhance our understanding of the inner drive mechanism between customer relationship quality and repurchase intention in online shopping context. The study also provides a guideline for online sellers to enhance customers’ repurchase intention.

This paper establishes grey-fuzzy evaluation model, through the questionnaire survey method, and evaluates the innovation capability of China’s manufacturing enterprises. The results indicate that the enterprises which take strategy of servitization would have higher performance than the enterprises don’t do so, in the innovation opportunity recognition capability, innovation process execution capability, innovation results evaluation capability and comprehensive innovation capability. Therefore, we can come to the conclusion that manufacturing servitization can improve enterprise innovation capability.

Private economy in Heilongjiang Province has been booming since 1992. However, such problems like low assignment rate of labor contracts and differentiation treatment in social insurance remain amongst considerable private enterprises currently. The causes of the problems can be comprehended from the inevitability of economic and social development in Heilongjiang Province, the conclusiveness of development stage of productive forces, the regularity of employment relationships and its own development and the self-limitation of employers and labors. Thus, to promote the policy adjustment of employment relationships of private enterprises in Heilongjiang province, the construction of appropriate policy environment for the development of private enterprises, the maintenance function played by labor union as well as the gradual promotion of three party negotiation mechanism by government, the formation of a cooperative all-win cultural atmosphere and the implementation of effective individual incentive mechanism are needed.

Many scholars have studied bank queuing problem through queuing model. Drawing on the service pack theory and queuing theory, this paper built a new cost-optimized model through the introduction of ATM variables. And the authors selected two bank outlets as the research objects to collect data, and then used MATLAB software for data analysis and processing. Finally, they optimized the support facilities of the selected two bank outlets through this model while trying to make the banks’ total costs and customer waiting costs minimum. The paper also put forward some practical suggestions on the optimization of the bank’s foreground support facilities.

Dishes sales prediction is vital to Food & beverage Enterprise. Nevertheless determining the sales remains very difficult because there are many factors that may influence the Dishes sales. A novel time series forecasting model is established by evolving and clustering decision tree. This forecasting model integrates decision tree algorithms (DT) and genetic algorithms (CA) to construct a sales predictions system based on historical data and the most optimized decision tree. The example analysis and calculation result shows that the proposed GADT model is feasible and effective.

The problem of the solid waste collection is becoming one of the most important applications addressed as Vehicle Routing Problem with Time Windows (VRPTW). This paper presents a solution of a large scale vehicle routing problem for the waste collection in Alexandria city in Egypt. A GIS based model is developed and the VRPTW is solved using TransCAD® software. Different scenarios were developed and compared. The case was solved with three clustering scenarios and without clustering. The results showed superiority of clustering based scenarios over the solution without clustering. The developed model is used as a Spatial Decision Support System (SDSS) that allows investigating different scenarios for solid waste collection vehicle routing and improving the overall logistics performance of such systems.

Health care industry is a rapidly growing sector in most countries in the world. Hospitals strive to find efficient approaches to improve their service operations. Lean management has been widely recognized from manufacturing and service organizations as managerial philosophy to reduce wastes and increase values to customers. Recently, lean management was adopted in many health care organizations. To promote the success of lean implementation, it is crucial to understand the extent to which lean practices are implemented and their impacts in organizations. Thus, the purpose of this paper is to review lean management, lean practices, and their impact with respect to health care service system context. After reviewing literature, lean practices in health care, important service operations, were determined. In addition, this paper identifies five dimensions of operational performance in health care service organization. These five dimensions are speed, cost, productivity, quality, and customer satisfactions. For the next step of this research project, an empirical study investigating the relationship between lean practices and their impact on operational performance will be carried out.

Containerized shipping is exhibiting increasing trends, which makes container terminal planning decisions a critical success factor to a container terminal. The efficient handling of containers has a significant and direct impact on the performance of the terminal exhibited in berthing time of vessels. In this paper we present a simple labeling and ordering heuristic to solve the container pre-marshalling problem. Preliminary results illustrate the good performance of the proposed heuristic.

In order to reduce the total costs, a minimum cost model (EOQ) was proposed based on the arrangement of explosive products supply support. Analyzing the whole flow including purchase, storage and transportation, explosive products were transported from military plants to depots and from depots to combat troops. Concerning all the constraints, the minimum cost model was transformed into mathematical programming model, and then optimal solutions can be solved. The model provides a theoretical basis to take measures to raise the efficiency of equipment support and improves the order capability in certain base.

The in-construction Hong Kong-Zhuhai-Macao Bridge (HZMB) will be the longest cross-sea bridge and tunnel combined highway in the world. Firstly, the related projects and the project features of HZMB are investigated and summarized in this paper. Then the construction scheme, management system and business of HZMB are described in detail. Finally, based on the analysis mentioned above and the four principles of organization structure design, the total organizational structure of HZMB is presented.

There would be a fair code to decide the value that had been created by assets such as technology. The code would encourage the owner of assets to innovate and to maximize the firm value. The game theory is introduced into the research of creating and distributing firm value and the game model based on the rule of distribution proportion between capital owner and the technology owner was set up. The total maximum value of the firm is counteracted by action of players’ maximizing self-value. A new code was given that the innovator captures the whole value caused by innovation to maximize the total maximum value of the firm.

For the semantics of existing product information models is too simple, the lack of adequate semantic description of the product information model during collaborative product design process, and the information sharing and interoperability in the semantic level between the collaborative designers are difficulties and other issues, this paper presents a product information model for collaborative product design based on ontology. To achieve the description of semantic information of products, ontology is introduced in this paper. Then which can enable the collaborative product designers to carry out the semantic level of information sharing and interoperability. Finally, an instance of the presented product information model is proposed.

Enterprises’ management information systems performance appraisal traditionally focused on overall efficiency evaluation. This paper brings ecological performance appraisal for enterprises’ management information systems with ANN and GA, which can provide the sequence of the subsystems and to find out the feeblest subsystem, and take the corresponding measure to improve it according to the expert’s appraisal. The evaluation of ecological management information system should be implemented step by step: First of all, carry on overall analysis and appraisal to each subsystem that is operated; then, draw the value of evaluative index of each subsystem and arrange them in an order based on that. Finally, draw the lowest value in each subsystem according to the result of arranging in an order, judging by that we can improve the subsystem purposefully. The improved mechanism will harmonize the enterprises’ interior information system and make enterprises ecologically adapt to the changing environment.

In relation to knowledge workers’ competence evaluation, knowledge workers’ competency evaluation model based on the Extenics was established. First of all, on the basis of literature review, according to certain principles, knowledge workers’ competence evaluation index system was built, and then based on Extenics, knowledge workers’ competence evaluation method was given, and finally by an applied example, the feasibility and validity of this method was verified.

The achievement of competitive advantage in high-tech enterprise depended on the development and management of technological know-how and market pioneering know-how heavily. Based on the perspectives of knowledge management and strategic human resource management, a model on how to manage the two kinds of key know-how effectively was set up to develop and utilize competitive advantage in high-tech enterprise.

In research of TESOL, the most important issue is how to determine the course content scientifically and how to solve students’ problems accurately, and the existing researches have not provided effective solutions yet, therefore the Ontology Technology-supported English Teaching Scheme has been proposed, in which ontology-based problem detection and resource recommendation method has been used to fulfill this goal. Finally, the results of the application experiment have verified the feasibility and superiority of the proposed scheme.

Due to the tasks of the national energy saving policy and other reasons, the sales quantity of 2011 for traditional car shows a downward trend, after the rapid growth phase of 2009–2010. Comparatively, the new energy vehicles are more suitable for national energy reduction policies. The new energy vehicle industry should be the trend of the future development for the automobile industry. Therefore, a reasonable plan for state-owned new energy vehicle industry is quite important. This article developed an adaptive balanced scorecard knowledge-based system for industry strategic planning. This knowledge-based system also uses the partial least squares regression analysis to determine the specific strategy weights. So this adaptive BSC knowledge-based system can help providing recommendations for the industry development plan.

Tacit knowledge sharing is one of the important ways to improve the tacit knowledge stock of organization and realize knowledge innovation. The tacit knowledge sharing of organization is a dynamic game process, which is working on the social network of knowledge management among kinds of social units. Based on the theory of games, this paper constructs a model of organization tacit knowledge sharing. The possibility of tacit knowledge sharing from the viewpoint of static games is analyzed. Strategy and methods of how to realize tacit knowledge sharing among organizations are presented.