Proceedings of the 23rd International Conference on Industrial Engineering and Engineering Management 2016

Selection of port enterprises logistics service providers is a complex multiple attribute decision-making problem. In order to improve the scientific nature of selection, a set of reasonable decision-making methods of logistics service providers selection are needed to establish. Accordingly, a combination weighting-grey synthetic decision-making method is proposed, which is used to solve the problem of providers selection. Firstly, this method combines the network analysis method with the entropy method to determine combined weights of evaluation indexes. Secondly, the improved center-point triangular whitenization weight function is introduced to cluster alternative plans and judge its corresponding grey classes, and then synthetic weighted decision-making vectors are used to solve grey synthetic decision-making coefficient vectors. Next, grey synthetic clustering decision-making coefficients are calculated to conduct a synthetic decision-making rank of alternative plans. Finally, an empirical study is conducted to verify the effectiveness of the proposed method by taking logistics service providers selection of a port enterprise.

The support probability of aviation materials is a crucial part in the process of normal operation of airlines. But the higher support probability will inevitably lead to the increase of inventory cost of aviation materials, and restrict airlines to improve their efficiency. Hence it is of great significance for airlines reducing the material cost on the premise of normal operation to predict the material requirements accurately based on reasonable models. This paper summarizes a series of prediction models of aviation material requirements, and applies the grey comprehensive correlation degree to evaluate the models. On this basis, the method of association rules is used to discover the association relationships between the types of aviation materials and the prediction models.

In recent years, Business-to-Customer (B2C) e-commerce has become one of the largest e-commerce transaction models. As an important link in the e-commerce transactions, logistics has an increasing impact on e-commerce. Analysis for enterprise logistics mode becomes particularly important. This paper analyzes the domestic e-commerce transaction scale changes in recent years by using Analytic Hierarchy Process (AHP) to study factors which affecting logistics, and ultimately proposes a new approach to help companies choose their own suitable logistics model.

Energy efficiency assessment is the precondition of energy optimization of machining period, and a set of standardized energy efficiency assessment system can help the optimization of machining period; therefore, the energy efficiency assessment standard for machining period is studied, and the content framework and evaluating method of energy efficiency assessment standard of machining period are proposed. The first step of the evaluating method is to establish the mathematic model of energy efficiency assessing standard, including the energy equation and power equilibrium equation of machining, which are the theoretical basis of the standard; the second step is to set up the energy efficiency assessing indexes including energy utilization ratio and specific energy consumption; the third step is to give the method for obtaining energy efficiency assessing indexes based on the combination of off-line basic data acquiring and on-line input power monitoring. The case study shows that the energy efficiency indexes can be gotten by the proposed evaluating method with enough precision, and only input power of the machining period should be monitored on the site. The results can support the energy efficiency assessment and optimization of machine tools and work-pieces.

Production system modeling and simulation is an important technical course of industrial engineering education for undergraduate students. This paper presents an initial implementation of hybrid problem based learning (hPBL) method for the course, which combine problem-based learning (PBL) and lecture based learning (LBL) in teaching and learning process. The learning object and content of the course is introduced. An hPBL curriculum schedule is design for the course within a large classroom environment. The various open end problems of modeling and simulation are formulated for group collaborative learning. During learning procedure, the basic concepts and problem solving steps are introduced at the LBL classes, while the PBL classes focus on solving of selected problems. The hPBL greatly arouses the learning interest and improve the learning efficiency of students. The course is evaluated based on the students’ survey. The examination score of hPBL is analyzed and compared with pure LBL classes.

Schedule risk control is a very important issue for the success of IT outsourcing project. There are two independent agents in IT outsourcing project, which is the client and the vendor, the two sides need to reach an agreement on the schedule and cost of the project. However, traditional schedule risk control methods haven’t taken this characteristic of IT outsourcing into account. Given that, this paper analyze the characteristic of IT outsourcing with negotiation mechanism. We formulate the negotiation protocol that the two sides need to obey in the process of negotiation, design the decision making model and concession functions. Based on the simulation results, the effectiveness of the negotiation mechanism is verified. We also analyzed the influence of maximum negotiation rounds and concession factors on the negotiation results.

To analyze the effect of reciprocity on revenue sharing contract’s coordination and its dynamic effect on agents’ decisions, this paper established the extended utility function including the preference of reciprocity based on the model. Besides, controlled experiments were designed to test the above results. Unlike research results of wholesale price contract, reciprocity caused the failure of coordination. Supplier’s decision did not meet the condition for coordination. Therefore, the retailer’s order quantity is lower than the benchmark under centralized decision, which means the efficiency of supply chain could not be promoted. During exchange process, participants not only purse their own interests, while the relationship is also part of their goal.

There are many types of disturbances that upset the plan in steelmaking and continuous casting (SCC) production, including processing time variation, temperature variation, quality variation, machine failures, which could cause the static schedule to become inefficient and even infeasible. It is necessary to adjust the schedule or generate a new executable schedule upon the occurrence of unanticipated disruptions and changes. Two rescheduling methods are presented: the partial rescheduling and complete rescheduling. The former refers to the right shift partial rescheduling based on continuous casting, the partial rescheduling based on case-based reasoning and man-computer interaction. The latter refers to the complete rescheduling considering changeable processing time, the complete rescheduling considering changeable processing time and production path. The mathematical models of two class complete rescheduling are formulated, and the solving methods are also given. The intelligent rescheduling system for SCC production with these methods is successfully applied to one large steel plant, and rapidly optimal rescheduling is achieved when disturbances occur.

The purpose of this study is to evaluate the performance of data analysis in Taiwan Patient-safety Reporting system (TPR). The TPR system is evaluated by comparing the results of the Root Cause Analysis (RCA) and the collecting data from TPR system. We used 18 medication errors and recruited 30 nurses to report those errors to the TPR system. With systematical approach, Human Factors Analysis and Classification System model (HFACS) were applied to analyze the results. The study showed that the sum of the causal factors and the number of causal factors in all layers in HFACS model from the TPR system are less than the results from the RCA. It implied that the TPR system cannot offer useful and effective information for causal analysis and would need some further analysis and improvement.

The study analyzes the adverse events in medication process by HFACS and determines the frequency of AMEs using conditional probability. Four experts were recruited to form a committee for the study: one pharmacist, (working as manager of a pharmacy department), two nurses, and one human factors and ergonomics expert. 17 examples were selected from TPR and 52 causal factors were identified by the committee. The findings show that the traditional approach could underestimate the frequency of AMEs.

To improve the grasping efficiency and posture fidelity of virtual hands in virtual assembly processes, a novel adaptive grasping and adjusting method is presented. The attributes and information of assembly parts and assembly gesture of virtual hands are described completely with semantic description models in advance. Basic gestures model base and gestures knowledge base are established to facilitate the generation of hand gestures. According to the spatial relationship between a part and a virtual hand and the semantic description model of the part, the transitions from initial gesture to basic gesture can be calculated. Grasping rules are defined and used to adaptively obtain the final gesture and grasping position of virtual hand. Based on the constraints dynamic-solving algorithm and reasoning of semantic information, the virtual hand is adjusted to the appropriate grasping posture automatically. The validity of this method is verified by the virtual assembly of a reducer.

Healthcare is regarded as an industry with high risk that has an important influence on patient safety and medical quality. Traditional bow-tie method lacks the quantitative applications in medical areas and has limitations on dynamic medical risk assessment. Through mapping a bow-tie into a corresponding Bayesian network, a framework of quantitative analysis in healthcare using bow-tie approach is built in this paper and dynamic risk assessment is conducted by updating probability based on Bayes’ theorem. The feasibility and effectiveness of the proposed method are verified by an example of aeroembolism in the process of hemodialysis.

The target of marketing is to maximize the customer equity. Seen from this angle, this article interprets the content of marketing strategy based on the analysis of the customer equity. We analyze the content of marketing strategy at last, rationally analyze inner connection in content of marketing strategy.

In the turbulent environment, how to deal with changes and uncertainties has become the core competence of firms. Many manufacturing systems have been proposed with the capability to deal with changes and uncertainties. Facing with such many kinds of systems, it is difficult to set up the linkage between business strategy and manufacturing systems, which is the mission of manufacturing strategy. Some common approach shared by these systems are concluded, and the linkage is built based on the common approach. An empirical study was executed in Chinese manufacturing industry with a questionnaire linking with uncertainty. The common approach and change sources were empirically tested with Principal component analysis (PCA), and the relationships between the sources of change and the common approach were examined with regression correlation. The results found some significant relationships which can give suggestion on the strategic formulation of manufacturing strategy in the turbulent environment.

Knowledge absorptive capacity is essential for the development of enterprises in the era of knowledge economy. Trust relationship is the key influencing factor of knowledge absorptive capacity in the service outsourcing enterprises. Building a trust relationship between service outsourcing enterprises must meet four conditions: understanding, profitable, predictable and faithworthy. Above all, this paper proposes two dimensions of trust relationship: interpersonal communication and organizational commitment. Then this paper discusses the impact of the interpersonal communication and organizational commitment on the knowledge absorption capacity. Finally this paper does an empirical research as example of service outsourcing enterprises by using the structural equation model. The results of empirical study show that interpersonal communication, organizational commitment and knowledge absorptive capacity is positive correlation. The conclusion of study has an important role to improve the knowledge absorptive capacity of enterprises.

In this paper, a decision model is developed for producers to determine the optimal price and warranty length to maximize profit based on the pre-determined life cycle and the rate of customer claim. The pro-rata warranty (PRW) policy is considered under which producers refund a fraction of sale price if an item fails in the warranty period. The objective function includes both demand and cost function. The variation tendency of producers’ profit will be derived for two different life distributed products. Some conclusions are drawn based on the sensitivity analysis.

Facing the serious situation, in order to cope with the future challenge, scholars put forward many new development concepts, management modes and advanced manufacturing technologies. The common point is the rapid response to market demand has become the core of competition in the market. This paper summarized the method of modules construction, analyzed of the modules construction strategy based on product lifecycle management (PLM), and explained with example of table lamp.

The logistics distribution path planning is of great significance for improving logistics distribution efficiency and saving the cost of distribution. Traditional logistics distribution path planning is usually a model that a single supplier serves several demands, which regards the minimum total distance distribution as the optimization goal and aims to pursue the optimal distribution route. But the logistics distribution model in this paper is that several suppliers serve several demands, then transforms into the classical TSP to solve optimization problems and mathematical model is established. Based on the mathematical model, the improved genetic algorithm is supported to use integer permutation encoding and adopt the optimal individual reserve strategy and roulette method on the individual selection. Finally, experiments have been carried out to calculate in this way, according to the calculation results, it shows that using the genetic algorithm to solve optimize logistics distribution route can obtain effectively the optimal solution or approximate optimal solution about this problem.

Considering that risks propagate not only within single R&D network, but also spread among interdependent R&D networks, we explore the risk cascading propagation mechanism across interdependent R&D networks. Firstly, we proposed the generation algorithm of individual R&D network based on R&D network has the characteristics of scale-free and small-world networks. Then we identified three types of interdependences (i.e., input interdependence, shared interdependence and co-located interdependence) between interdependent R&D networks. After that, we introduced cascading failures theory to model the risk propagation within single R&D network by defining the risk load and risk capacity on each firm, and building the rule of local triggering among risks. Finally, we propose the four-stage model to describe the process of risk cascading propagation across interdependent R&D networks.

This paper proposes an effective method for matching optimization of vessel maintenance support equipment, and applies the capabilities-based method in breaking down vessel maintenance support equipment and maintenance support mission, and building a comprehensive, reasonable and effective optimization matching model. In the end, MATLAB is utilized to calculate the results of optimization matching and fulfill the objective of optimization matching. This model is simple, easy to operate and highly extensible. The index system and weight can be adjusted based on actual condition to provide a new approach to the matching of maintenance support equipment.

The configuration of Warship Technology Supportability Equipment(WTSE) is complex systems engineering, so it should comprehensively takes into account the impacts of warship system, organization, process, task, equipment and resource, etc., and be optimized based on overall input and demand to improve the capabilities considerably. First, this paper analyzes the structure of WTSE and builds a multi-view model for WTSE system-of-systems. Subsequently, a model based on system dynamics is constructed after analyzing the causal relations of index with input and task demand for warship technology supportability capabilities, while a growth curve is employed to elaborate the development and evolution process of capabilities. By means of simulation, this paper eventually analyzes the strategy for optimization configuration of WTSE system-of-systems.

According to the operation process of rail transshipment systems, a discrete event-based simulation model is developed. With different wagon grouping rules and a set of wagon para-unloading schemes, the simulation model can record the penalty cost of wagons due to the beyond of the maximum tardiness time of wagons in the rail transshipment system. This model can be used for evaluating the rationality of the operation management of the rail transshipment system in hydropower development project, and providing decision support to managers in the real-time scheduling of the system.

With the rapid development of social economy. The medical industry's competition is becoming increasingly fierce. How to maximize the efficiency of using existing resources, reduce operating costs and improve the service quality has become the important content of hospital management. The Six Sigma theory based on statistics theory by eliminating errors, reducing waste, and optimizing constantly of existing processes to satisfy customer's changing needs. In this paper, using the Six Sigma theory's DMAIC model, combining with the secondary hospitals displayed treatment rate low, put forward improvement assumption of hospital management, the purpose is that through a series of improvements, improving the services efficiency of hospitals, and achieving the goal of increasing the hospitals benefit.

The performance and convergence rate of the ant colony algorithm is affected by the parameters of the ant colony algorithm, and the optimal parameters of ant colony algorithm often vary from problem to problem. On the basis of analyzing the current research status of ant colony optimization, a genetic algorithm based on ant colony optimization is proposed, which carries out the combination optimization of the parameters of the ant colony algorithm through the binary chromosome coding, roulette wheel selection operation, multi-point crossover operation, single point mutation, re-insert preserving good operation and the decoding process based on ant colony algorithm. Finally, taking the TSP-Oliver30 and the TSP-20 as examples, the validity of the algorithm is verified through the simulation experiments.

In order to discuss the influence of equipment failure on the production schedule and equipment utilization rate in the pull production environment, a multi-objective integrated optimization problems of preventive maintenance planning and flexible job-shop scheduling model is established. The model is to minimize both the maximum completion time and the total equipment’s workload. In this article an improved genetic algorithm is proposed to solve the problem. The multi-objective optimization model was compared with independent maintenance model to verify its superiority, and the multi-objective improved GA can find more Pareto solutions for the decision maker. Finally the example calculation shows that the integrated optimization can find the solution with shorter completion time, eliminate waste and improve production efficiency.

To capture the behavior trends and relationships among the entities in the data, a cost-sensitive association rule model was built to achieve robust decisions. This model was trained through the imbalanced data and the reasoning loss was formulated on the concept of loss rate under uncertainty. This model distinguished the cost-sensitive losses between false negative rate and false positive rate. Considering the characteristic of ROC curve, the minimization principle of reasoning loss was obtained through a gradient descent method according to the sufficient condition for the cost-insensitive reasoning, and this approach established the mechanism of robust association rule inferences. Finally, the effectiveness of the proposed approach was validated by the simulation with real decision data sets.

Due to the coal mine safety resource allocation is a multivariate, multiple constrained, nonlinear combination optimization problem, so the particle swarm optimization (PSO) is easy to fall into local optimal value, low precision and slow convergence speed and so on. A particle swarm optimization based on Levy (LF-PSO) is proposed. This algorithm is applied to the study of coal mine safety resource allocation, combining with the time series dynamic, complex multiple attributes and so on. first of all, to build the index of safety resources from man - machine - environment - administration - emergency; secondly, in a safe investment as the constraint conditions, the use of the nonlinear function relationship between the BP neural network is used to fit the resource security and safety level, and then to build a coal mine safety resource allocation model; finally, based on the LF-PSO algorithm for model optimization. The results show that the LF-PSO algorithm has fewer parameters and is easy to jump out of local optima. Compared with the conventional PSO algorithm, the algorithm has better convergence speed and precision.

According to the quality problems of a company’s carbon nanometer materials touch screen product in the processing, based on the Lean Six Sigma method, this paper analyzed the production processes and the defective rate of the big board section, and determined the offset defect as the key factors affecting the quality of the products in the process of its production. By using the experiment design, the main reason that caused offset defect was found to be the operation stability of the organic units of the laminating machine. On the basis of the working principle analyzed for the laminating machine, the defects of the structure and principle were found and a new method equipped with machine vision and automatic detection system was proposed to achieve automatic detection offset and automatic positioning. This study result would provide a feasible means for the improvement of the quality of touch screen products.

In order to improve processes quality, an evaluation method for complexity production and service processes embedded quality requirements of production and service management was presented. Key practices and their sub-practices of production and service processes were corresponded to a set of quantitative evaluation indexes and criterions, while score results were corresponded to the quantitative evaluation of quality management maturity level instead of the traditional qualitative evaluation of quality management system compliance. To verify the practicality of the method, internal consistency reliability, construct validity and criterion related validity were analyzed using the classical test theory and correlation analysis, factor analysis and so on. The result shows, this method is feasible at the enterprise level, and its reliability & validity meet requirements.

Facing the unavoidable arrival of “Industry 4.0” age, deeply understanding the strategic development plan of “Made in China 2025” from Chinese central government, revitalizing China’s manufacturing industry, achieving smooth deceleration shift of our industries, achieving the implementation of the first decade action plan for building stronger country strategy, is worthy of careful thought and choices.

“Made in China 2025” is for the whole world and China’s economic and social development and changes, the overall trend of industry innovation, make long-term strategic development plan of China’s development. This paper introduces the connotation of collaborative innovation method, followed by analysis of industrial engineering and management innovation, combined with the status quo and development in Liaoning manufacturing problems in the Liaoning manufacturing collaborative innovation system, based on the exploration of “Made in China 2025” Liaoning Manufacturing industry collaborative innovation model, Finally, the implementation of the development strategy based on creating synergy Shenyang equipment manufacturing industry.

The design of workshop layout is one of the important contents in the design of manufacturing system, and the merits of workshop layout directly influence the products quality, the productivity and economic efficiency. Because of the complexity of the workshop layout, it is sometimes difficult to meet the demand of the modern production mode simply by establishing the mathematical model. This paper optimizes the workshop layout by applying computer simulation technology, choose the FLEXSIM software for virtual simulation and dynamic layout analysis, find out the bottleneck in the workshop layout and make an improvement on it. Ultimately the production efficiency of the entire workshop is improved.

Along with consumers’ growing demand for personalized and diversification in auto market, multispecies and small batch production has become the inevitable choice for automobile production enterprises. This paper analyzed FAW Car company production leveling model from monthly planning to vehicle off the assembly line. Constructed mixed production model of three kinds of cars and production transforms model of two welding lines supply one main welding line. The two models had been verified in this paper.

Lean culture has significant influences for enterprises to promote lean production and innovate lean management methods. Based on researches of foreign advanced enterprise culture such as Toyota, Volkswagen, Ford, and BMW, this work constructed a the company lean culture model trough the practice of the company culture. This model, based on challenge, improvement, respect, responsibility and innovation, aims at zero defect, zero machinery stop and zero inventory. Besides, safety, quality, talent, production and manufacture were constructed based on the guidance of prevention, education, CZD, talent cultivation, customer orientation and technological precedence. In the end, the work also summarized lean corporate culture experience through exploring practical cases. The research results guide enterprises to construct and promote lean corporate culture.

With appearance of “Internet +” and “Industry 4.0”, Intelligent manufacturing has become a hotspot. This mode realizes the optimal allocation of manufacturing resources through the network platform. At present, scholars use intelligent algorithms studying resource allocation model, however, these studies are based on assumption of definite resource environment. The study from perspective of data matching is less. This paper highlights research about efficiency of resources matching from the internet perspective, putting forward concept of “resource that is data”. Combined with data redundancy issues, this paper separates many unordered resources features into redundant and nuclear attributes. It studies distribution of attribute characteristic variables in same space with information entropy, researches the redundancy among attribute features variables with mutual information and studies attributes feature selection mechanism with attributes features redundancy criterion based on mutual information. We can find the resource with robust attribute features quickly and accurately from many intelligent manufacturing resources.

Over the years, the social security system is considered to be economic “shock absorber valve” and “built-in stabilizers”, which plays an important role in income redistribution. This article by searching for 2002–2012, China Statistical Yearbook relevant data, using descriptive statistics, cluster analysis, regression and time series analysis, statistical methods, development of China’s social security, social security and urban and rural residents’ consumption structure the impact study to obtain changes and laws of social security spending, the main constraints to predict trends in social security spending next five years.

IT service outsourcing is an effective way to enhance the core competitiveness for many enterprises. But the schedule risk of IT outsourcing project may cause enormous economic loss to enterprise. In this paper, the principal-agent theory is used to build the model for schedule risk control of IT outsourcing project. According to the feature of problem, Genetic Algorithm (GA) is designed to solve the proposed model and the optimal plan of controlling schedule risk is given based on the simulation analysis. The simulation results demonstrate that this paper can provide the scientific quantitative proposal for the decision maker who needs to control the schedule risk of IT outsourcing project.

The paper refers to value function and production function, uses 536 listing corporation’s financial data of A shares from 2011 to 2014, through builds the model about influence of capital allocation efficiency on corporate performance and carries on the empirical analysis, analyzes the logic relationship and interaction mechanism between the capital factors, capital allocation efficiency and corporate performance, and it renders value advice.

Due to adjacent geographical location and hinterland overlap among ports in the port group, the port competition is fiercer and fiercer. This paper establishes a Hotelling game model to analyze the competition and cooperation among ports in the port group based on geographical location, service level and shipping distance. The research proves when service level of port enterprises is same, cooperative strategy can significantly improve the level of the port group’s profit. When service level of port enterprises is different, service price of port, market share of port and port’s profit are affected by the service level before and after the cooperation, the service level of port enterprise shows a trend of mutual promotion, and the port group develops into the higher service level.

It is high level of urbanization, more laid-off workers, and greater pressure of pension in the old industrial area. Therefore, it is considerable realistic significance to know the need of dwelling-type and solve the contradiction between supply and demand under the current condition on “getting old before rich”. Applying an investigation and multinomial logistic regression model explored how factors have shaped the residential choices of dwellers. It focused on the three private-dwelling types and considered different abilities to self-care. The analysis shows that individuals appear to choose their housing with nursing care. The analysis also indicates it is better to bring in professional operation team into the old-age care project.

With the wide use of enterprises’ goodwill, the amount of accounts receivable which stays is being a rising trend every period. What’s more, the proportion of accounts receivable is keeping increasing in current assets. In this paper, there will be a simple summary and analysis on the emergence and the harm of accounts receivable. And an illustration on the main management of accounts receivable has been given. This paper tells the relationship between credit administration and management of accounts receivable, and it points out the inapplicability of recent popular systematic credit rating and analysis method applied to the manufacturing industry of rail equipment, also proposes a management method of accounts receivable based on credit rating.

With the continuous deepening of informatization in the medical field, the massive data in electronic medical records makes it possible to carry out intelligent medical recommendation technology based on data mining and cloud computing[1]. In this paper, we proposed an algorithm for doctor assessment based on collaborative filtering to achieve the goal of personalized medical recommendation in the large data environment. On this basis, to reduce complexity and improve operational efficiency, we proposed an improved algorithm based on clustering and clustered doctors who are professional on certain illness. The result shows that the algorithm can recommend optimal doctors to patients efficiently.

This paper involves the resource constrained project robust scheduling problem where the objective is to maximize the robustness of the baseline schedule under the constraints of resources and project deadline. On the basis of the identification of the problem, the optimization model is constructed. Then, for the NP-hardness of the problem, the two versions of variable neighborhood search (VNS), i.e., the hybrid VNS and the parallel VNS, are developed to solve the problem. To evaluate the performance of the two VNS methods, a computational experiment is conducted based on a set of data consisting of 50 instances generated randomly. The results show that the developed algorithms can solve the problem with an acceptable computational time. With the increase of the problem scale, the hybrid VNS performs better while the parallel VNS becomes worse.

In order to solve the ubiquitous problems of public bicycle rental stations–”hard to borrow and return”, this paper applies artificial bee colony algorithm to dynamic scheduling of public bicycles. It also established the cost minimization model, which considered time-windows, transport costs and service satisfaction. It selected some public bicycle rental stations in Nanjing Pukou as research objects to verify the model and algorithm above. And the experimental result shows that this algorithm enables the highest service satisfaction while making the transport costs of public bicycles to a minimum.

Service-oriented computing creates a surge of web services. With the increasing number of web services advertised via the Web, service repositories have to face a challenging task, i.e., to automatically group those Web services so as to help themselves or end-users to retrieve those services effectively and efficiently. In this paper, a new web service classification method is proposed. Firstly, a new integrated similarity measure for Web service is developed. It combines a statistic measure (TF-IDF) and a semantic similarity measure based on information content. Then, a couple of popular classifiers, e.g. radial basis function neural network (RBFN) and K-nearest neighborhoods (KNN) are used to group Web services. Experimental results on the OWLS-TC dataset indicate the proposed integrated approach outperforms the semantic method which is popular in Web service discovery.

With the increase of human carbon emissions, global climate warming is becoming more and more significant. Natural disasters, climate change and extreme weather events become more frequent, these environmental problems have caused serious influence to human life. China has established regional carbon emissions trading markets at seven pilot cities which are based on cap and trade. Participating enterprises are restricted in total carbon emissions through initial allocation of emission quotas. They can purchase emission quotas to satisfy their excessive emission needs via the carbon emissions trading market. Also, they can conduct self-purification to reduce carbon emission level to satisfy their excessive emission needs. And they can sell the surplus emission quotas to gain revenue via the carbon emission trade market. Under cap and trade, enterprises must balance their economic and environmental benefits. Based on such background, we have established a multi-period optimization model of integrated decision to help enterprises make production and carbon resource allocation decisions. It is found that government should combine industry self-purification characteristics and emission characteristics to allocate emission quotas; the fluctuations of carbon price should be considered when to set punishment force; also, self-purification, carbon trade and punishment should be balanced when to allocate carbon resources.

Social network analysis as a method, its application has become more and more widely used. Firstly, this paper reviews the origin and the maturity about this method; Secondly, it also summarizes its application in all fields, and especially summarizes its application on engineering from three aspects; Finally, based on the previous literature, this article provided summary and put forward the problem about the study and research prospects, I hope this study can provided some reference for the development about the field of engineering in social network analysis in the future.

In recent years, diagnostic and prognostic methods of cancer have become one of the research focuses in clinical medicine with the increased risk of cancer. However, how to excavate the more information from the data, how to establish the different math model, and how to verify the diagnosis further are of great significance for doctor to improve the diagnostic accuracy and reduce the diagnostic complexity. This paper collects and teases the gallbladder cancer data from the first affiliated hospital of medical college of Xi’an Jiaotong University, China, which is used to be excavated except the known tumor markers. Then, the optimal data model is set up using some typical Bayesian networks. Finally, we improve the warning factors of tumor diagnosis from the known information by putting importance calculation method into the analysis of gallbladder diagnosis.

This paper seeks to apply the dynamic capabilities framework to examine the internationalization of higher education, specifically, the effect of dynamic capabilities on university’s international performance. An empirical data analysis has been employed, and hypotheses are tested on Chinese 985 and 211 universities. The results indicate that dynamic capabilities have a significant positive effect on the university’s international performance. In particular, learning mechanisms has the most prominent positive effect on university’s international performance. Universities must be fully aware of the importance of dynamic capabilities when dealing with the rapidly changing environment, and should develop the university’s international dynamic capabilities especially their learning mechanisms to enhance their international performance.

This paper examines the relationship between the online reviews with movie box office under the environment of panel data. According to users’ behavior, we divide the user reviews into two categories: average user reviews and critic reviews, then compare the influence of different types of reviews on the box office. We also analyze the relationship between box office and factors, including movie rank, release days, count of reviews and scores. Our results show that average user reviews have an obviously positive influence on box office, while critic reviews have no effect. The count of average user reviews can be helpful for predicting the movie revenues, rather than critic reviews. Thus the movie rank and release days will provide the reference for consumers to evaluate the quality of movies in daily life. The article points out a new direction for further research on online reviews.

In the circumstances of globalization, the raging trend of transnational merger and acquisition is irresistible, and trends promoted in becoming lager for enterprises are pronounced increasingly. Meanwhile, the professional and subtle-oriented small and medium size firms have developed vigorously, which agree upon the scale-oriented developing trend for enterprises in becoming lager. Thus, many enterprises consider merger and acquisition as a strategic option when oriented towards building competitiveness. Learning from the predator-prey model in ecology, and combined with numerical solution and phase diagram, a model with three typical enterprise populations is studied in this paper. The stability of solutions is investigated and the phase diagrams are described by theoretic analysis and numerical simulation.

This study introduces the meaning of cloud computing and big data, analyses the research status of health management in domestic and foreign. Also, it expounds the data mechanism and key technologies, and then discusses the transmission process of monitoring data. In addition, it mentions a new pattern uses warning data cloud platform as a carrier which can give all kinds of early warning services to the families, communities, hospitals and other users in health management system.

This paper, in comprehensive consideration of the factors affecting the safety of civil aviation airport, by following the integration of theory with practice, expounds the construction of the civil aviation airport safety forewarning evaluation index system in terms of personnel, maintenance, environment and organizational management and application of multi-hierarchy comprehensive fuzzy method to carry out the early warning for assessment as well as computation to determine the safety status of civil aviation airport so as to prevent the hidden accident from occurrence.

Staff should perform several jobs beside checkout operations during working hours in a retail store. To maintain a high service level, those who are performing other jobs may switch to serve customers when there is a customer waiting queue. In this study, a simulation model of the checkout process with the staff who are cross-trained is constructed to examine the server switching policy. Different scenarios compare system performance under various customer arrival conditions and queuing modes. The simulation model provides a potential decision support tool resolving staffing and queuing arrangement problems in a retail store.

This paper examines a mixture of in-house efforts and fee-for-service outsourcing for firms to develop security protection. Due to the different degree of outsourcing, firms divide their information assets into two parts: one part is outsourced and the other part will be protected themselves. For the outsourced part, the optimal contract built by the firm and the MSSP, shows that the MSSP should bear full compensation when the firm was attacked by hacker successfully. Moreover, the unit price the firm should pay to the MSSP will decrease as the degree of outsourcing increases, which means that firms prefer to choose outsourcing because of MSSP’s cost advantage. However, the degree of outsourcing does not have an impact on the remaining part, which is not outsourced.