Proceedings of 2012 3rd International Asia Conference on Industrial Engineering and Management Innovation (IEMI2012)

Based on the production logistics in one heavy industry enterprise, this paper describes the logistics operation mode of the assembly process, analyses and designs the operation mode. By taking the advantage of RFID technology in the secondary sorting process of materials, the automatic sorting method is proposed, which improves the sorting speed and accuracy.

Optical incremental encoders are widely used for the speed measurements in motor servo systems due to low cost and high performance. But it is difficult to use the encoders when wide speed range, high accuracy and extremely short responding time are required at the same time in high performance servo systems. In this paper, an improved variable M/T method is introduced. In this method, both encoder pulse and high frequency clock pulse are counted in a variable interval which ensures the high measurement accuracy in both high speed and low speed. By speed estimation algorithm, the rapid response can be obtained even at very low speed.

Confronting with many problems from environment, population and resource, new manufacturing industry is the hope for further economic development. However, for now, there is not an agreed evaluation system of new manufacturing industry. At the meantime, it is inadequate to empirical research in this domain. After researching some scholars’ last research and analyzing actual manufacturing situation of Guangxi, the authors propose an evaluation system of new manufacturing industry. It is a four-dimensional evaluation system (Economy Benefit, R&D Capability, Energy-saving Efficiency and Environmental Protection Ability) and includes 19 secondary indexes. To guide further research, taking Guangxi as an empirical subject, this article evaluates Guangxi new manufacturing industry from different aspects and draws some conclusions by Using SPSS16.0 software to make principal component analysis. The contribution of this study is not only making an evaluation system but also providing reference to the Guangxi new manufacturing industry development path.

Guangxi, as the important basement in “Western Development”, owns many accumulation areas of manufacturing industries. The manufacturing industry in Guangxi has become one of the major economic development troops, but Guangxi’s economy has faced many obstacles to the economic development mode in energy-intensive and high pollution. Starting with the index of the four-dimensional new manufacture, this paper studies the economic benefits, the capability of R&D, energy efficiency and environmental protection. The aim is to find the gap between Guangxi and other manufacturing developed provinces, and to bring Guangxi’s manufacturing on the new road to develop well and fast by making a horizontal comparison with other provinces in China about the degree of new manufacturing.

Using ideas of system theory to study multi-project manufacturing, creates parallel distribution of resources and collaborative management. Making use of the theory of cloud, to establish a manufacturing resource hierarchy model, building a cloud of manufacturing resources, and analyze the dependencies among the elements and combinations of manufacturing resources in the cloud, from the view of describing resource elements in a unified parametric point in multi-project manufacturing. Using tools of queuing theory, to analyze the matching process of manufacturing resource capabilities and needs in parallel manufacturing of multiple projects, proposing methods of conflict resolution for manufacturing resources, establishing a multi-project resource allocation model for parallel manufacturing, to realize the coordination between manufacturing resources capability and plan requirement in project manufacturing.

Through the analysis of the current situation of workshop human resource management, combining with the thoughts and ideas of MES, and discuss the necessary of building human resource management system under the MES environment. At the same time, study the interaction, function structure and operation mode of workshop human resources management system. Finally, the paper researches on some key technology of system realization, such as real-time interactive information.

Standardization and integration is significant development trend to new research on MES. Steel enterprise MES which has discrete and process characteristic have more overlap between software system and function module, system structure and function model is not enough unity, there are serious problems in its standardization, integration and standardization. This paper constructs the steel enterprise standardized system structure and function model based on the ISA-95 standards. The model includes production operation, inventory operation, quality operation, maintenance operation, energy management and intelligence analysis and optimization decision support six basic function modules, and unified design system integration interface of enterprise layer and control layer. Advantages and characteristics of standardization and configurable solved the problem steel enterprises MES faced on standardization and integration.

Lean production and push production are the two major types of production control philosophy. Push production has acquired the benefits of computerization from standard packages for a long time. On the other hand, lean production emphasizes human involvement, and its computerization is relatively late in comparison and has not yet acquired standard package. To make the information flow more real-time and intellectual, this paper presents a shop floor tracking system for lean production. The system upgrades the shop floor computerization of lean production to the same level as its counterpart in push production, and at the same time reduces waste and delay from physical kanban. In addition, the lean SFT can be integrated with conventional ERP, thus not only giving lean production the best benefits of ERP, but also making ERP more effective and flexible in shop floor control.

This research proposes an economic and effective experimental design method for multiple quality characteristics to deal with the parameter design problems that have many continuous parameters and levels. We use Taguchi experimental method, TOPSIS (Technique for Order Preference by Similarity to Ideal Solution), and Cross analysis to find the optimal parameters combination for the weldment of thick aerospace aluminum alloy plates. The primitive results show the potential improvement over previous experimental methods. Because the model can learn the relationship between the welding parameters and the quality responses of different materials to facilitate the future applications in the decision-making of parameter settings for automatic welding equipment, it can also be presented to the relevant welding industries as a reference to improve the product quality and welding efficiency.

The Job-shop Scheduling Problem is a typical scheduling problem, which is regarded as NP-hard because of its complexity. Improvement based on traditional local search methods is realized with the combination of neighborhood and critical path. Firstly, feasible solution is achieved by heuristic approaches or just randomization. Secondly, makespan optimized solution is achieved by improved local search. Finally, the improved local search method is proved effectively by experiments, moreover the searching process is visible and suits man–machine interaction.

There is a collaborative problem between the production department and marketing department of steel enterprise because of the diversity of varieties and the complexity of production process. For this kind of issues in the condition of multi products and multi processes, this paper proposes a production capacity network flow (PCNF) model that can quickly extract the information of problem and simplify the process of mathematical modeling. To solve the problem of order acceptance and capacity balance in steel enterprises, we abstract the capacity of supply and demand in the steel manufacturing process into a PCNF model, and develop a mathematical model. The model is solved by a heuristic algorithm, and the objective of solution is based on degree of satisfaction in practical production, rather than seeking the optimal solution of the problem. Instances of the application show that the accuracy and efficiency of the algorithm can meet the practical demand.

Decision of planning input for make-to-order system based on learning rate is researched in the paper, affect of employee learning rate on the qualified rate in the manual operating system is analyzed and characteristics of the qualified rate’ s random fluctuation under the changing production condition are studied. We propose that the random fluctuation of qualified rate is determined by different requirements in specifications, technical difficulties, materials of make-to-order and the random uncertainty characteristics of the production system itself. Considering of affects of learning rate and random factors on the qualified rate, a model of decision-making of planning input is established with the objective to minimize the total expected expenses composed of the costs about excess output, output gaps and scrap losses. By simulating with MathCAD, it is proved that there is an optimal input as customers’ orders are certain.

Literature on job shop scheduling has primarily focused on the development of predictive schedules in static environment. However, when the schedule is carried out in job shop, it may affected by varied disturbances. These disturbances will make the original schedule worse, even invalid. Rescheduling is the process of finding a new schedule to respond to the stochastic disturbances. In this paper, an affected operations rescheduling method (AORM) is studied to respond to disturbances. First, the basic theory of the method is given. Then the algorithmic procedure is introduced. The objective functions evaluating the rescheduling method are given. At last, an illustration example is tested and analyzed. The result shows that the rescheduling method proposed can produce new optimal schedules to respond to stochastic disturbances.

The integrated optimization problem of multi-level production planning for large and complex discrete manufacturing system was taken as research object in this paper. Firstly, the decision-making process of multi-level distributed production planning in large and complex system was proposed based on system survey. Secondly, the integrated optimization theoretical model of multilevel production planning was formulated by weighted combinatorial optimization method, considering customer satisfaction (quality and delivery), lean manufacturing (bottleneck utilization and cost) as the optimization objective. Finally, augmented lagrangian relaxation method and Heuristic algorithm were adopted and a rule-based hybrid algorithm was designed in order to efficiently solve nonlinear inequality constraints combinatorial optimization problems. This study provided a theoretical approach to solve the scientific problem of production planning decision for the large and complex discrete manufacturing system.

This paper presents a new capacity allocation method to support decisions in the design or redesign of a make-to-order job-shop with stochastic orders and processing times. The solutions for capacity allocation can be adding/removing machines or work shifts at every work stations. A bi-criteria objective function comprising fixed costs and tardiness penalty is used to evaluate each solution. A simulation model is applied to compute the objective function iteratively in a modified simulated annealing procedure until a feasible and profitable solution is generated. Bottleneck analysis is used as guidance for the neighborhood-generation in the modified simulated annealing procedure in order to accelerate convergence. Consequently, the run time of the procedure is short enough for practical use. Different problems were tested. Solutions from the proposed method were compared to those from the classical simulated annealing and the comparison showed relatively positive results.

In recent years, the iron and steel industry’s operation condition has been continuously worsening, profitability reducing, thus the product mix decision (PMD) for the iron and steel enterprises became research focus to reduce manufacturing costs and maximize profits. Taking into account unit-level, batch-level and product-level cost, an integrated model conducting product mix decision for steelmaking, continuous casting and hot rolling (SM-CC-HR) process was proposed in this paper. A numerical example was presented to illustrate data input, solution method and result analysis. By comparing the model with two traditional ones, it was showed that the model attained higher profit and smoother implementation, because it traced the cost appropriately and effectively reduced the volume of left slabs in manufacturing processes and that of left steel products after order-delivery.

Free gift is one of important sales promotion artifices which will influence the brand image, and many companies use it. But there’re some problems about giveaway in market nowadays. This paper present people-oriented concept is significant in development and innovation of free gift. It should formulate market strategy in accordance with customers and specific conditions. As an important link in market strategy, design for gift needs comprehensive consideration of various factors and rational innovation.

The establishment of China’s shop window design industry is based on its unique historic opportunity and background. Its emergence has refashioned the manner of traditional visual merchandising which makes too much use of the shop signs. The development of design style covers the importation of the western design and the domestic innovation of design in China. In the first half of the twentieth century, the shop window design reached its first developmental climax. The concepts and modalities of China’s modern time visual merchandising have been developing in tandem with the birth of shop window design industry. And this has contributed to the ceaseless progress of China’s commercial civilization.

With the worldwide industrial restructuring, the creative industries have become the new direction of China’s economic development. In the economic background of the growing demand for creative products and artworks, as the focus of the creative industries, personalized furniture design has become the focus of China’s creative industries. With the emergence of personalized furniture, it brought a new challenge in the furniture industry. Designers should not only meet the reasonable structure and function of the furniture, but also to maximize meet the needs of consumers’ pursuit of individual, and thus formed a strong conflict. In this paper, on the one hand, from the analysis of creative personalized furniture cases to extract specific personalized furniture creative development approach, on the other hand, study to find a personalized design method, and provide a new research direction for the design theory of the creative methods, provides a new idea for the designers that seeking the design inspiration. For the learners of art and design, it is a new method of pioneering and creative thinking. Contribute to industrial development for the future of personalized furniture (Fanbei, Furniture design. China Water Power Press, Beijing, 2010).

The desire for luxury goods has been released in China due to its open economic environment and international lifestyle. The same trend exists in India—another emerging market of Oriental culture, which cannot be underestimated. This paper focuses on the market circumstances and conducts comparative analysis on political and legal element, economic, social-cultural factors and technological environment with the help of the PEST model. The findings lie in identifying similarities and differences between prospects of both markets from internal and external perspectives in this paper, which lays foundation for branding strategies in China and India.

This paper studies a multi-stage and parallel-machines scheduling problem which is similar to the traditional hybrid flow shop scheduling (HFS) in the solar cell industry. The multi-stage and parallel-machines scheduling problem in the solar cell industry simultaneously determines the optimal production sequence, multiprocessor task scheduling and machine configurations through dynamically allocating all jobs to multiple machines. We formulate this problem as a mixed integer linear programming model considering the practical characteristics and constraints. A hybrid-coded genetic algorithm is developed to find a near-optimal solution. Preliminary computational study indicates that the developed algorithm not only provides good quality solutions.

According to the four stages of iNPD, the green equipment for outdoor activities is designed. Its description is as follows: (1) Lifestyle impact: internet technology transforms for leisure of special group to become customized mobile products, (2) Ergonomics: green energy (solar) as power supply with electrical storage devices which can track sunshine direction, and easy to close and carry. (3) Feature: a tree structure for outdoor activities, and can integrate with existing WiMAX equipment for LAN.

In multivariate statistical process control, interpretation of a signal issued by multivariate control charts is very useful to find source(s) of variation that result in the out-of-control condition. This paper develops a support vector machine(SVM) based model for multivariate autocorrelated processes to diagnose abnormal patterns of process mean changes, and to help identify abnormal variable(s) when residual T

2

control chart issue an alarm. Particle swarm optimization (PSO) method is adopted to determine the values of penalty parameter and kernel parameter of the model to improve the performance of the SVM pattern recognizer. The results demonstrate that the proposed method provides an excellent performance in terms of accuracy of classifying patterns of out-of-control signals.

In this paper, direct Control-Chart of substandard is put forward. In the Control-Chart, the usual way of deciding the control limits according to sample datum has been eliminated and the shortage of small-scale single-piece production datum has been overcome. It doesn’t need sample datum as its basis. Its purpose is not to keep the process stable but to control the occurrence of substandard products, which is more suitable for process quality control of small-scale production. The structure, control rules, statistical principles identifying, capacity, functions, characteristics application of the direct Control-Chart are discussed.

China’s large population size and rapid urbanization process have made the implementation model of residential construction under huge pressure. It is vital for residential developers to adopt the best practices of production planning and control system to ensure the quality requirements of residences. This paper aims at providing a residential production and construction process management tool for homebuilding industry to achieve the quality goal of zero-defect in construction process with exploring the possibilities of integrating Lean Principles and Six Sigma. The necessity and feasibility of integrating both Lean Principles and Six Sigma were conducted. The integration content and process of Lean Six Sigma construction mode were given. Finally, a Lean Six Sigma Construction Model was established to explain the implementation process of this integrated approach in residential construction.

This research tries to establish an optimum life cycle cost (LCC) based strategy model of equipments’ purchasing and maintenance. The study integrates the technique of failure modes and effect analysis (FMEA) and analysis of equipment maintenance cost to optimize LCC of equipments’ decision in order to sustain and promote the firms’ competitive capability. A revised FMEA table will be utilized to collect data and demonstrate the relevance among estimated failure cost, severity of effect and cost of actions-taken that constructs the main frame of the method. Finally, this study uses an equipment group in assembly house of semiconductor, S company as a case study to prove the model’s applicability and suitability.

In modern manufacturing, hundreds of process variables are collected, and it is usually difficult to identify the most informative ones. Partial Least Square Regression provides an efficient way to evaluate each variable, but it cannot evaluate any variable subset as a whole. In the paper, a new framework of key process variable identification is proposed. It combines PLSR model and wrapper feature selection to firstly assess every variable individually and then the top variables in groups. Five datasets are tested, and the average classification accuracy is higher and the key process variables identified are less than the available approaches.

Aiming at the short-run discrete manufacturing process with setup error, the optimal adjustment scheme to minimize the total process quality loss for the situation of adjustment with quadratic cost and considering adjustment error based on autoregressive (AR) model is developed. Based on the state-space process control model, the optimal adjustment scheme is derived by using Kalman filter on line estimation and linear quadratic Gaussian (LQG) theory. A simulation case is presented to illustrate the implement method of the optimal adjustment policy. Furthermore, the optimal adjustment scheme is compared with other quality control policy by simulations, and the results show that the adjustment solution presented by this paper is more effective than other to reduce the total quality loss of the process.

The financing way of projects in BT mode provides a feasible way for solving the contradiction problem of the municipal infrastructure construction funds. As the key risk factor of influencing BT project investment control, engineering variations controlling rights becomes the focus point between two parties of BT project. The paper explains the definition and category also demonstrates processing program of engineering variations, and further analyzes the reasons of variations, then takes Shenzhen metro line 5 as an example, which provides the theoretical basis and empirical analysis for engineering variations management in domestic urban rail transit project under BT mode.

The reasonable arrangement of the time of inbound trucks’ arrival at the distribute center was very important to ensure the smooth circulation of goods and cost reduction. The course of unloading and sorting were regarded as two stage flow shop in the Cross-docking (CD) environment including only one door and one conveyor, applying the Johnson algorithm to solve the problem of minimizing working hour of goods (work piece). Finally, according to a distribution center’ order data, the minimum time required for sorting all the batch of goods was calculated, and the optimum sequence of inbound trucks was obtained, which can provide guidance for CD practice.

This paper contributes to the ongoing discussion about the supply chain management (SCM) of Chinese toy makers by conducting a survey among 148 respondents from the industry. The questionnaire includes 24 questions that belong to six sections, which are design and buying, materials procurement, production operations, product distribution, quality control, list of tools (technology). Through analyzing the feedback data from 36 respondents, this study reveals the update circumstances of Chinese toy industry regarding SCM. Notably, on the one hand, most toy makers (about 90%) suggest that they value quality control, which is essential for global competition. On the other hand, less toy makers prefer to adopt advanced SCM tools; this may hinder their competitiveness in the long run. To conclude, both constructive and practical suggestions are given to the toy makers for improving their SCM performance.

The paper analyses the necessity of developing power coal blending, and discusses the effect of it in the rational utilization of coal mining resources, reducing logistics cost, improving the economic benefit of coal enterprises, promoting energy conservation and emission reduction, and protecting the mining area environment. Based on this, the paper researches the site selecton problem of coal blending center in the coal mining, and determines the location and number of logistics nodes by establishing Baumol – Wolfe model.

Based on the status of swine biogas supply chain in Poyang Lake Ecological Economic Zone, two different supply chain mode were established which are household biogas and intensive swine biogas in the paper. Each node of two supply chain was offered. After processing the data from statistics, documentary investigation and visiting on-the-spot, the trend of it was analyzed by quantitative methods which the results showed that the transform from the household to joint household and livestock production biogas engineering is inevitable due to the change of pig culture structure. Then the paper described that the swine biogas supply chain in Poyang Lake Ecological Economic Zone would be promoted by the diversification of raw material, high-value-use of biogas and by products, construction of service systems, clean development mechanism and distributed energy.

This study concentrates on the relationships among market orientation, operational synergistic capability and performance from 3PL perspective. A sample of 201 companies in Guangdong province with experiences in 3PL services are identified for this study. The data analysis shows 5 of 7 hypotheses are supported. The results show that market orientation affects performance indirectly, operational synergistic capability is the key mediator that market orientation affects performance, which indicates the whole process of operational synergistic capability affects performance. Based on these findings, it is suggested that firms have to consider outsourcing non-core logistics functions to 3PLs for better logistics service performance and market performance. So, a conclusion is reached that the collaboration with 3PLs is one potential strategic action for firms in advancing the operations.

Based on the cost and profit, considering the unit cost of materials and the material utilization, with the methods of probability theory and mathematical statistics, an ERP inventory control model is proposed under the condition of fluctuating demand. Afterwards, the supply volume and safety stock can be reasonably determined. The rationality and effectiveness of this model is demonstrated from real samples. The model can be applied to and will bring practical guiding significance for the inventory control of modern enterprises.

The paper de scribes the evolution of logistics and supply chain management in different business environments and identifies the structure of the driving forces. A cyclic development structure along technology improvements will be identified and illustrated as a 3D development cycle (“Helix of Logistics”). The results are based on several research projects which are supported by the German Federal Government.

With the deepening of medical and health system reform in China, it is necessary to strengthen risk management of medicine supply chain so as to improve the medicine distribution level and cut down the medicine price, and increasingly great concern has been aroused by government, pharmaceutical industry and society. In light of the complexity and uncertainty of medicine market, this paper makes analysis on the composition of medicine supply chain and its risks, constructs a risk identification hierarchy structure of medicine supply chain, and then designs the risk control model. This paper aims at providing support for medicine supply chain to reduce the risks and increase the operational level.

As it concerns more than one billion people, Chinese food manufacturing industry is on a large scale and adopting green supply chain management (GSCM) in this industry is significant to environmental protection. This paper aims at providing information on the implementation of GSCM in Chinese food industry. Using multi-case study on five case enterprises, this paper analyzed the practical experience and difficulties of the GSCM implementation in four aspects, namely green procurement, green manufacturing, green logistics and green marketing. The results show that sample enterprises did well in green procurement and green marketing while the green manufacturing and green logistics have encountered some objective difficulties and still call for improvement. The joint effort of the government and food enterprises needs to be formed to ameliorate the implementation situation of GSCM in Chinese food industry.

Container ports expect more competitive advantages and performance improvement on their extinctive logistics capabilities in the circumstance of ongoing integration of supply chain and port fields. Whereas, the connotation and denotation of port logistics capabilities and port performance have been undergoing significant changes. Meanwhile, the competition between container ports is presented in multitiered and wide-ranging arena. This research focuses on container ports and conceptualizes port logistics capability from five dimensions (positioning, integration, infrastructure, operation and agility) and port performance from four aspects (productivity, finance, social and satisfactory performance), then tests the relationships among port logistics capability, competitiveness advantages and performance. Data from 30 container ports and 181 responses and results from structural equitation modeling indicate that the comprehensive improvement of port logistics capability can directly raise port efficiency and effectiveness performance concurrently. Moreover, via the competitiveness advantages in market, port logistics capability has an indirect positive impact on performance.

The issues in socially responsible supply chain coordination from brand equity perspective are discussed in the current study. Socially responsible supply chain coordination that integrates all efforts of CSR initiatives from brand distributors to upstream partner-suppliers shall be surely needed within the uncertainly globalizing and networklizing knowledge economy era. This paper develops a five-step CSR performance evaluation from brand equity perspective for modeling and analysis of socially responsible supply chain coordination and shows relevant optimal coordination strategies to improve and reconcile economic, social and environmental benefits of all partners in the socially responsible supply chain system.

With the resource-based economy transition in Shanxi Province, the demand of logistics and freight will be further increased in the future, it is necessary to analyze the history and estimate further logistics demand in Shanxi Province. This paper regards gray systematic theory as guidelines, based on the present situation of logistics demand and actual data in Shanxi province, establishes a gray forecast GM(1, 1) model, then forecasts the next 5 years logistics demand of Shanxi province, based on this, develops the logistics development plan from the government level and corporate level, according to some calculation, which could provide a quantitative base for government to plan the development of logistics.

In order to improve the traditional cultural industry and develop the emerging digital culture industry value chain, from the point of the value chain, firstly the digital culture industry on the value chain structure of horizontal and vertical linear and the existing problems were analyzed in this paper; then the output capacity, operational capacity, relationship of competition and cooperation of companies in the digital culture industry were discussed in this paper, from the angle of quantitative, the value chain efficiency was comprehensively evaluated by the use of cluster analysis. Finally, the influencing factors of achieving the digital cultural industry were put forward by analyzing the case of the Qujiang Culture Industry Investment Group.

This paper develops a dynamic storage space allocation planning model with an objective to minimize the berthing time of container vessels. The study is based on the new container terminal which has a limitation on the number of the transport channels. A rolling horizon approach, considering the loading and unloading information of the containers, is used to solve the problem. The space allocation equality rate (SAER) is considered to assess the model balance. The learn model is solved by CPLEX solver 12.2. This study is valuable for improving the efficiency of actual new container handling system.

India has a vast cultivable land and

almost all seasons for production of all varieties of fruits and

vegetables

. However, India has also got a wide uncultivable waste lands. Jatropha seed is one of the highly suitable agricultural product for making an alternate fuel. As this seed can grow in any type of land it is necessary to focus on producing an alternate fuel with help of esterification process. Nearly 90% of the country’s food and vegetable produce is handled by private organizations only. The goods cross at least five stages before reaching to the end customers. This leads to the hike in prices of the goods

The Jatropha oil production process involves many stages of supply chain. In this paper an identification of optimal collection center for Jatropha seed which serves as the common point for the farmers (Producers) is focussed. This collection center facility may change significantly as per the policy of the government. The costs, production capacity, travel distance, mode of transport, time and other input variables of facility location models are highly uncertain. The p median algorithm is used to identify the optimal collection centers. Also it captures the various operational functions of the Jatropha supply chain uncertainty including distance, demand, graphical location etc., as the people have more flexibility to choose the collection center location, the facilities need to be modified in terms of farmers constraints. This paper assesses the field data and identified the optimal solution using Myopic and Exchange heuristics algorithms

Due to population aging, complete social welfare system and retirement plans, the elderly will become one of the mainstreams of consumer market. The purpose of this study is to identify the factors that may affect the elderly’s shopping channel selection for general merchandise retailers. In-depth interview applied in this study to explore the elderly basic needs of the shopping process. Through actual interview with 13 senior citizens who must be over 65 years old. We extract 45 factors that may affect the elderly’s shopping channel selection, and then classify each factor into specific dimension. Although this study belongs to consumer psychology, it’s based on the concept of human factors engineering. If we want to explore all various factors in the process of consumption, only understand consumer demand truly, so that the enterprise may create friendly shopping environment for elderly consumer.

Importing the non-public capital participate in high speed railway supply is effective to expand the development fund of high speed railway, and important to promote the railway supply, to enhance the development of endogenous power and to increase efficiency. For the non-public capital participating in high speed railway, the necessity and possibility are analyzed in this paper. It is discussed the realization forms and the structure pattern about that, and brought forward that professional operation of special permission and DBFOM (DBFO) are new ideas. It is also stated that the non-public capital is important to intensify the reform and sustainable development in high speed railway.

Combining with the current situation of the circulation of agricultural products and the practical demands of informatization of agricultural logistics in China, the problems in the process of agricultural products circulation are put forward and the necessity of constructing a agricultural products logistics public information platform is analysed. It is divided into three layers, the base layer, the application service layer and the portal layer. The functional configuration and the operation mode of the platform are analysed as well.

All the federal unions, like the United States of America or the European Union face the issue of finding the right allocation of seats to their member states. There has been a lot of debates in the United States of America since two centuries in order to find the right mechanism to round off the number of representatives per state proportionally to their populations. This problem is now well documented. The existing methods of the representative apportionment actually are based on the max-utility rule, but they just satisfy one or two Fair Apportionment Axioms. To answer this question, we consider to present a dynamic apportionment method which satisfies the three axioms 1, 3 and 4. The calculable program is also presented.

Scientific and rational equipment inventory is an important part of equipment optimization supply and management. Based on the analysis of usage failure rate, the quantitative research to determine the equipment inventory was presented. The usage failure rate of equipment and the main factors which affect the reliability of the usage of equipment were analyzed and determined. By determining the regression variables, regression coefficients, and estimating survival function and the use of failure rate, a ratio of failure rate regression model is established. A method to determine equipment inventory by using usage failure rate is proposed. The method provides the basis of decision making for the scientific management of equipment and apparatus. And it also offers the methods and means for the reasonable determination of inventory.

Greater market penetration of electric vehicles needs business model innovation. Business model innovation and industrialization is the focus of the development of electric vehicles during the “12th Five-Year Plan” period. So how to promote business model innovation is pivotal. However, now the theories about business model innovation for electric vehicles are not matching. The business mode for electric vehicles is a complex system and its innovation is in fact a transition of co-evolution process. Based on the discovery-driven approach and transition management theory, this paper analyzes the barriers and proposes some recommendations to business model innovation for electric vehicles in China.

With the development of China’s social and economic integration, Chinese military industrial enterprises are facing the external business environment which is profoundly changed. Faced the new opportunities and challenges, they must have supported and guided by the concept of the advanced enterprise value. Therefore, carrying out the construction of enterprise culture actively and effectively, focusing on the innovation of enterprise culture, are the objective requirements when building the advanced culture for military industrial enterprises. The thesis is based on the theory of enterprise culture, according to the characteristics of the military industrial enterprise, builds an evaluation system that is fit for the military industrial enterprise, and chooses corporate A as the evaluation object, using the methods of Delphi, AHP and Fuzzy Comprehensive Evaluation, analyzes the current situation of enterprise culture construction. The thesis is not only suitable for this corporation, but also having the significance for other similar corporations.

Contradictory matrix and Ideality are the very important concepts of TRIZ-Theory. Generally, Ideality is defined as the ratio of useful function and harmful function. But, how to define “function”, and how to differentiate the useful function and harmful function, has not confirmed yet. This thesis uses 48 parameters to redefine function, and then provides the formula of the Ideality of technology system. Furthermore, it puts forward a guess of the curve based on the increment of Ideality, which could provide the reference value for the evaluation of the new technology.

After analyzing operational process for container terminal, the design employs a role Agent for each operation that coordinates with neighbouring role Agent. The structure of logistic operational integrated system based on Multi-Agent for container terminal is established via computation Agent, and the working process of operational role Agent is demonstrated. The computation Agent coordination model is designed. Based on the analysis of conflict of logistic operation for container terminal, integration mechanisms for adjacent operation role via the combination of game theory and Q-learning are proposed. Numerical experiment in container terminal about the adjacent operation integration between yard trailer and quay-crane testifies the validity of the integration. It helps improve the system’s reliability.

The relationship of board female ratio and firm performance has become a hotspot in foreign researches and discussions, but there is no agreement until now. Based on this, our article studies the relationship of board female ratio and firm performance on the basis of the data from listed companies in China by empirical research. We select a sample of 1,348 listed companies’ financial statements from 2007 to 2009, and use Tobin’s Q as a measure of firm performance. In order to investigate the impact of board female ratio on firm performance, empirical research is applied, and total number of company executives, average age of company executives, board size and firm size are applied as control variables. Our findings indicate that there is no significant relationship between board female ratio and firm performance, and we have mentioned some possible factors at the end of the paper.

The coal is the mainly energy resources of China, and the coal industry enjoying a leading position in national economy. Low-carbon, environmental protection and energy saving bring great challenge to coal enterprises. Therefore, building the internal control system has become the important management measure for coal enterprises. The internal control auditing is the important pathway to ensure the internal control effectively been implemented, and it is important to control the enterprises risk. The paper design indicator system of internal control, and establish the risk-oriented internal control auditing model. The research result could provide reference to coal enterprises implement internal control auditing.

First, this paper will analyze the connotation of individual bank clients’ value in-depth. Based on this foundation, the main factors that reflect the client value will be selected. Then it will use the expert method to build a client value evaluation system. Finally, using the fuzzy data mining algorithms, this paper will obtain the basic model of bank client value segmentation, which will provide the basis for effective prediction of high-value clients.

Visually handicapped belong to special groups, they are eager to blend into social life, on the basis of analyzing demands and handicap of visually handicapped, came up with ancillary product design ideas of visually handicapped in order to help them blend into life.

Military research institute of technological type focuses on product development, and the institute faces a series of opportunities and challenges when it transforms into enterprise. How to grasp the direction of the reform efficiently is crucial both in theory significance and practical value. This paper describes the mean of military research institute of technological type, and constructs the index system of factors which influence the reform. Use quantitative analysis method with three dimensions to choose an appropriate type of enterprise for different military research institutes reform.

Network news is more and more important and more and excessive, consequently news evaluation gradually becomes hot spot, and it is also complicated problem. In the paper, same batch news evaluation and all news evaluation are respectively analyzed. Elite degree conception is defined and news evaluation indexes are set up, and consequently new news evaluation methods are put forward. News should be evaluated by both news transmitter and news audience. News transmitter evaluates news from activation value, information value, education value, entertainment value and society value, and news audience evaluates news from visit quantity, response quantity and the ratio of response quantity of visit quantity. Finally the network news evaluation process is shown by specific instance.

Coal resources development projects have many characteristics of large investment, irreversibility, long cycle and uncertainty and so on, due to the inherent defects of the traditional NPV method, which can’t effectively deal with the uncertainty faced by the coal resources development investment, thus, the real value of the coal development investment projects are hardly assessed scientifically and rationally. Using the real options method, the paper builds a evaluation model on coal resources development investment project. The results show that using the model to assess the project value of coal resources development investment will be more scientific and rational, parameter analysis leads to the result that interest rates and convenience yields have a negative effect on the critical investment value of the projects, and the high jump frequency will reduce the critical investment value of the projects, while positive changes on jump range can increase.

Different from the strategic view which places the emphasis on how an enterprise grabs the leadership in a business ecosystem, this paper focuses on how an enterprise strategy builds a successful business ecosystem. Based on a summary of the business ecosystems connotations, this paper analyzes the structural models in business ecosystem, explores the strategic positioning and strategic choice of enterprises in business ecosystem, and finally comes up with recommendations for optimizing the business ecosystem combining with the actual case of the Jinguang Group.

This paper is aimed to explore the influence of different frequency noises to subjective annoyance. In order to analyze the impact, the surveying community-citizens were divided into different groups in accordance with the purposes of the analysis, and the different degrees of the noise-influence was analyzed by contrast with different groups. The results showed that the subject annoyance was influenced by the noise and has the positive correlation with the noise level and the noise frequency, especially the low frequency noise having obvious influence on the elders.

Whether the bid evaluation method is scientific, reasonable and justice, can directly affect the bidding and influence the results of the competition. The bid evaluation method based on Rough Set was put forward. The evaluation indexes were determined according to the specific requirements of the project and the goals of the employers, the indexes were reduced adopting the attribute reduction based on the information quantity, the significance of indexes was used to determine the index weights, and the comprehensive evaluation values of the contractors were calculated. The case of hospital project was studied and analyzed, it shows that this method reduces the subjectivity of experts to a great extent and provides objective and quantitative decision basis for decision makers. The ideal contractor is chosen and the advantages of the integration of design, purchase and construction are expressed.

This study took three different class items for research, which were (1) Class I: the patent of iPhone which has been authorized by Apple; (2) Class II: The cell phones which have infringed on the design patent of iPhone after judicial judgements; (3) Class III: the cell phones which intentionally pirated iPhone’s features but they have not been accused of infringement by Apple yet. There were 18 samples in total in this study, and the researcher asked 30 ordinary consumers who have no work experience in the filed of designing to do the similarity test. The research results were compared with the infringed cases in reality, and Multi-Dimensional Scale (MDS) was used to build up the real range of patent identified by the ordinary consumers at end of the study. The research results showed if the researcher took Class I to Class II as the real range of patent. Although most present Class III samples did not infringe directly on the patent range of iPhone, the judge confirmed that it is an infringement between Class I and Class II range on judging. Class III presented the distances which were very close to Class I, and therefore the possibility of infringement would be extremely high. The results of the study could build a display system which would help the real range of patent to be presented by visualization. The system could also clearly show whether other people’s designs have infringed on the real range of patent of ours or not. It could be an important reference of infringement and overall patent management.

The technical feasibility analysis of an aircraft design scheme directly influences the design proposal, which determines whether scheme can satisfy the maximum design requirements or we can continue the detailed design. Conventional design evaluation of a new technical influence is insufficient, because the weight evaluation (analytic hierarchy process, AHP) is usually subjective. This paper proposes a new impact analysis method based on probability theory, and the comprehensive information including the data envelopment analysis (DEA) and the interval number AHP is referred to as a comprehensive empowerment of the appraisal criterion. According to the proposed method, the best selection method of an aircraft conceptual/preliminary scheme based on probability and integration judgment is established. Finally, some examples are presented to demonstrate the validity of the method.

Demand forecasting is the foundation of planning for electricity power. Time, gross national product and population in Inner Mongolia can be viewed as three important factors influencing power demand. Rank correlation coefficients between them and demand are calculated respectively. The results display strong dependence. The function among them is fitted by Random Forest, a matured algorithm in machine learning. Relative errors of three reserved samples are 5.6, −0.4 and 3.6%. All of them are less than 6%. It is showed that Random Forest is suitable for power demand forecasting. Future gross national product and population are predicted by ARMA time series model. Substituting those values into the fitted function, power demand of 2015 in Inner Mongolia is predicted to be 236,768.07 million kilowatt-hours. The predicted value is helpful to planning development strategy.

Present status of research on construction cost indices was discussed and the methods of cost indices were analyzed. Based on multiplicative model of economic data time series, the cost index was decomposed into seasonal factor, trend-cycle factor and irregular component. The ARIMA model was established to fit the data of the construction cost indices of Tianjin from 2007 to 2011 and the fitting and predicting result shows that performance of the ARIMA model was satisfied.

Predict the future passenger flow of a railway station, which can provide an important reference for decision-making on scales of building a station and the management after the completion of the construction. According to the population changes of Tianjin in recent years, we have predicted Tianjin West Railway Station’s passenger flow in future using Stochastic Gradient. The study found that the passenger flow of the station will grow significantly. The station will transmit the passengers mainly by rail-transport and vehicles like busses, taxis as an auxiliary. In addition, the south square will transmit more passengers than the north square.

Based on fuzzy multiple index and Top sis approach, this paper analyzes and compares the competitiveness evaluation of the financial service outsourcing companies. It sets up the model frame and index system of financial service outsourcing companies, and analyzes various factors of three typical domestic financial service outsourcing companies. By using fuzzy multiple index and Top sis approach, it calculates the weight coefficient of each respective factor and the competitiveness ranking of the companies. This paper has a very important guiding significance on the financial service outsourcing companies’ looking to improve their competitiveness.

In this study sections of voice of newscasters who broadcast news in different CCTV news programs are extracted and studied to obtain data of the two voice features: pitch and fluctuation. Experimental design is conducted to discover how such influencing factors as type of news and gender of newscaster underlie the voice features pattern of CCTV newscasters.

Least square support vector machine (LS-SVM) is widely used in the regression analysis, but the prediction accuracy greatly depends on the parameters selection. In this paper, Simple Genetic Algorithm is applied to optimize the LS-SVM parameters; correspondingly, the prediction accuracy is improved. Sensors are always sensitive to several parameters, and this phenomenon is called cross-sensitivity which restricts the application of sensors in engineering. In order to reduce cross-sensitivity, the model of multi-sensor system measurement is established in this paper. For solving the nonlinear problems in the model, LS-SVM is used to establish the inverse model. It proves that the method has a high forecasting precision. It is beneficial to the application of sensors.

In order to regulates mart home system without manual intervention, a kind of infrared device and a wireless transmission device has been designed. Its main function is to execute terminal air conditioning through automatic switch and temperature control. The device combines infrared human testing with wireless transceiver module. It choose AT89C51 to meet the control requirement as the core, use the pyroelectric infrared sensor, and send wireless signals by PT2262/2272 wireless transceiver module. If the infrared module detects that somebody entered, the air conditioning will receive the wireless signal and start to work. Moreover, if the number reaches one certain level, you will see temperature fall. When all the people leave, it will automatically shut down. Because this system can work automatically, it can satisfy the intellectualization and humanity of the smart home system. The experimental result demonstrates that this system can operate reliably.

It is preliminary studied on the system framework of psychological wisdom service systems of table tennis players based on the exploration of psychological wisdom service of table tennis players; this paper aims to provide individuation, real-time interactive and intelligence services.

With the rapid development of clothing industry, enterprises enlarged the market space. As new high-tech fiber, smart clothing has become more and more popular among industrially developed countries, some experts regard smart fabric and smart clothing as the future of fiber clothing industry.

With the construction and development of smart power grid, the power system is evolving into the system of accumulating mass of data and information calculation. The advanced analysis, the operation of security and economic and the system control are becoming difficult with the expanding scale and complicating structure of power system. The existing computing platform of centralized power system does not meet the above requirements, which has become one of the main bottlenecks in the achievement of smart power grid. Cloud computing just can integrate the existing calculating resources of power system and provide the powerful capacity of calculation and storage. This paper first simply introduced the characteristic of smart power grid and cloud computing. Then the smart power grid cloud is put forward, and a further analysis and research on its composition, system structure, technology construction and application in smart power grid is done.

The construction of Eco-Industrial Park (EIP) is the basis of Eco-Industry System (EIS) and an important guarantee for implementing the scientific outlook on development, which has a great significance for promoting regional sustainable development. Industrial Symbiosis Network (ISN) is the main organization form for cooperating enterprises in Eco-Industrial Park (EIP) and the key content of the construction of EIP. This paper analyzes the drawbacks of traditional linear model of industrial development and explains the importance of the development of Eco-Industry, also system analyzes the circulation development pattern of eco-industrial symbiosis system. Based on Complex Network, this paper puts forward to build the model of eco-industrial symbiosis system from three aspects that include node, degree and weight, and finally verify the feasibility of the model through the analysis of case. The conclusion can offer a certain guidance and practical significance for development of circular economy and construction of Eco-Industrial Park.

Promotion of talents’ value in Engineering Management refers to several main processes, for example, basic professional capability training, core capability training and development capability training. Professional capability training system requires that the set of basic course system is fit for the capital standard of specific human resource in each stage and driving factors formed by specific human resource value must suit the practice ability course system. This paper propose a practice teaching system based on ascension of personnel value oriented, which includes basic ability course system and corn ability course system and development ability system, then present countermeasures for the promotion of Human Capital value in Engineering Management in our country.

China has issued several strict policies since 2008 to regulate and adjust the real estate industry, which would have substantial effect on the sustainable development of the industry. The effects seem have already showed by the great reduction of profit of leading companies and bankruptcy of small ones. So, study on the effect the strict regulating policies, from the prospect of sustainable development, has great meaning for government and its decision making. The previous theories mostly emphasized on the levels of several financial indexes in order to conclude the prospect of the industry, for example the profitability, liquidity and asset-liability ratio. But actuality shows even the company, with high profitability and low asset-liability ratio, would occur to bankrupt in the near future. Therefore, we must emphasize the operation efficiency of the industry or leading companies, which can conduct us to research the development of industry in near future. DEA has been successfully used for predicting one company’s bankruptcy. In this paper we would use the model for 20 leading real east companies whose operation would stand for the whole industry’s status mostly. The result shows there is great difference in the conclusion between DEA and the traditional manners.

In lean production, multiple U-lines are always combined to eliminate waste, which is called large room effect. The paper discusses three types of serial U-lines balancing including tail-to-head type, head-to-head type and hybrid type. A goal programming model which considered the minimization of workstations and the first or last workstation’s operation time is established in each situation. Example applications indicate that serial U-lines with tail-to-head type are more efficient to reduce manpower and serial U-lines with head-to-head type are more convenient of material flow. The hybrid way owns the above two type’s advantages and demonstrates its effectiveness.

This paper considered the scheduling problem of minimizing makespan on parallel machines with multiple resources constraint and job sequence dependent setup times. We proposed a mixed integer programming model to formulate the problem and used commercial software to get the optimal solution and Gantt chart of a small-size case. Then a Genetic Algorithm (GA) was developed to solve the problem in an acceptable time for large-size cases. Computational experiences shown that the proposed GA can achieve high quality solutions comparable to those obtained by commercial software and outperform the schedule rules existing in real manufacturing operation.

The paper explores the relationships among enterprise operation ability, profitability and development ability by applying cluster analysis and canonical correlation methods which are performed on a dataset of 30 listed household electrical appliance enterprises. The study shows that enterprise profitability and development ability are affected by operation ability, and assets turnover should be focused. Besides, the relationship between enterprise profitability and development ability is not apparent. In other words, not only profitability should be focused, but also do think about the enterprise development ability.

In this paper, we focused on the weighted networks system balance relationship between supply and demand to solve the network maximum flow problem under giant complicated environment. A heuristic solution method was proposed which was based on the interrelationship tables. The data was stored in the interrelationship tables according to the method which was defined and discussed on the model whose main part was list structure. The algorithm calculating showed a high efficiency in the condition of many disturbed factors were included while analyzing weighted networks. This algorithm was effectively proved by designed calculating examples. It could improve the visual degree of inherent relationship network and show superiority on solving complex network problems. This algorithm can supply model structure and operating basis on the aspect of solving maximum flow problems with the help of a computer. And it can also expand the researching methods of intelligent network system.

Job shop scheduling problem with sequence-dependent setup times is complicated because machines have to be reconfigured between two consecutive operations. More researchers have attracted attention to this problem. We propose a constraint programming approach to minimize the makespan. Three branching strategies including binary constraint heuristic, variable-based heuristic, task-based heuristic are compared. The constraint model and search strategies are carried out by Xpress-MP. The results showed that binary constraint heuristic is more effective.

This paper suggests that state-owned enterprises have multiple goals including economics and noneconomic targets. State-owned Petroleum Company is a special case. The paper developed a goal-performance model to evaluate the performance of three Chinese state-owned petroleum companies and seven companies from other countries. The findings showed that the three Chinese companies achieved different levels of performance for multiple goals. In addition, the results from comparative analysis showed the performance gaps among these companies.

Taking the instructional design of National Quality Course—Operations Research in Tianjin University as an example, this paper proposes a concept called three-dimension design space and an idea based on this design space which is called instructional design. Instructional design shows the key dimensions of instructional design factors and provides a systematic instructional frame for integrative optimization and design. This paper builds a three-dimension instructional design procedure that includes dimension division, curricular design, and instructional design. It develops the three-dimension instructional design in Operations Research of Tianjin University. We also compile the

Three-Dimension Instructional Design Handbook of Operations Research in Tianjin University

. These achievements have high practical value and salient application effects.

As the demand for ultra-clean areas in semiconductor fabrication has increased, the need for more efficient automated material handling system (AMHS) has become imperative. A diffusion tool is characterized by its long processing time of 6–12h, thus making it a form-batch manufacturing step. Out of necessity with this application, wafer lots are temporarily stored in stocker and are delivered to diffusion tools for processing when the Work-In-Process (WIP) level reaches 4–6 lots. As a result, diffusion tools wait for long wafer delivery time due to the current vehicle assignment method, thus greatly impacting transportation and production efficiency.

In order to improve the transport performance, a novel vehicle assignment method is proposed. Unlike the current methods, which assign idle vehicles to move to load ports sequentially, the novel vehicle pre-dispatching method calls several idle vehicles to move to a load port to simultaneously execute transport jobs with the goal of shortening a vehicle’s arrival time. To aid in our research, we performed simulation analysis of an AMHS for a diffusion area. The simulation outcome indicates that a substantial improvement in AMHS transport performance is achieved with applying of the vehicle pre-dispatching method.

A preliminary experimental study on examining the effects of vision, standing posture and support surface on human balance was conducted. Planar deviation (PD), a parameter derived from recordings of center of pressure (CoP) with the aid of a static force platform, was used to assess the body sway and thereby human balance. The experimental results showed that PD had moderate to high short-term test-retest reliability and all main effects from three factors were significant, all interaction effects were not significant except the vision*support surface. The implications of these findings and future research directions were discussed.

The purpose of this study is to explore how external integrative capability (technical integrative capability and customer integrative capability) and internal integrative capability (across-function integrative capability and board-problem solving integrative capability) influence the new product development performance. We find that external and internal integrative capabilities have significant difference on new product development performance. The results demonstrate that higher levels of external integrative capability and internal integrative capability enhance new product development performance.

This paper evaluates and compares the operational performance of four major private senior high schools in Taiwan. The measure of operational performance is based on the relationship between educational aspect and financial aspect. The education aspect evaluation indicators focus on educational resource, outlay resource, human resource, and school reputation. The financial aspect evaluation indicators focus on benefits of productivity, management capability, solvency, and cash flow. Grey relation analysis (GRA) is used to select the representative indicators, and the TOPSIS method is used for the outranking of PCB firms. It is recommended that it should combine with other applications in the educational industry to improve performance evaluation.

The purpose of this study is to establish an assessment model for hydrogen storage technologies and examine its applicability. The model is based on multicriteria decision making (MCDM). Evaluation criteria that conform to government policies are adopted. The model involves the use of criteria weights assigned by experts, and a constrained least-squares method to obtain a compromise set of weights; appropriate hydrogen storage technology options are subsequently determined by using the weights. The model indicates that metal hydride technology is the most appropriate for Taiwan. Therefore, this technology should be given top priority for further development in order to promote industrialization.