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31 August 2013, Volume 16 Issue 4 Previous Issue    Next Issue

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A Game Model for the Government's and Enterprises' Behavior Based on Low-Carbonization Supply Chain Li Yuan1,2, Zhao Dao-zhi1 2013, 16 (4):  1-6.  Abstract ( 1392 )   Save Based on low-carbonization supply chain, the effects of levying carbon tax on enterprises'emission reduction behavior are analyzed and a game model between them is developed. The converse method is used to solve this problem. By this method, first, the government initiates the carbon tax rate, then, the manufacturers make the decision on the optimal rate of emission reduction; and third the manufacturers set the prices of products. It shows that levying carbon tax plays a positive role in promoting the enterprises to reduce the carbon emission. With the carbon rate tax increasing year by year, the emission reduction are increased drastically (from 4.02% to 20.21%), while the prices are changed slowly. The low-carbon preference of consumers has significant effect on the product prices, but not on the emission reduction. A numerical case is presented to test the effects of the variation for different factors. The results provide technical guidance and data support for the government and manufacturers to make strategy decision. References | Related Articles | Metrics

A Network Optimization Model for Dual-Channel Two-Echelon Supply Chain with Carbon Emission Constraints Yao Man, Wang Chuan-xu, Xu Chang-yan 2013, 16 (4):  7-13.  Abstract ( 1368 )   Save With the development of electronic commerce and carbon emission constraints, a two-echelon dual-channel supply chain network composed of manufacturers, retailers, and markets is formed. With the physical (P) and Internet (I) transaction channels considered, there are five combined transaction ways. They are represented by P-P, P-I, I-P, I-I, and I. Also five criteria of supply chain performance evaluation are proposed. They are cost, carbon emission, late delivery percentage, rejection percentage, and demand. The criteria with higher priorities have higher levels of satisfaction. Based on fuzzy demands of the markets, a multi-objective network optimization model is proposed. The objectives include minimization of total cost of the supply chain, total carbon emission, and the number of late delivered items and rejected items. The optimal solutions are found by using the α-cut values to balance the tradeoffs between the anticipation levels of goal values and the priorities of the five criteria. Impacts of carbon emission and the pattern of electronic commerce on the optimal transaction ways and quota allocations in the supply chain are analyzed. A numerical example is given to verify the application of the model. References | Related Articles | Metrics

Three-Level Closed Loop Supply Chain Coordination Mechanism with Patent License Fee Considered Gao Peng, Xie Yin-cheng, Gao Jie 2013, 16 (4):  14-19.  Abstract ( 1423 )   Save A three-level patent licensed closed loop supply chain system composed of one original manufacturer, two recover manufacturers, and two retailers is addressed in this paper. For such a supply chain system, based on the game theory, the pricing problem is studied. Result shows that the increase of saving cost results in the increase of unit patent license fee, while the increase of reproduction rate results in the decrease of unit patent license fee. Also, in sense of operation efficiency, centralized decision making is better than decentralized decision making. Finally, a revenue and expense sharing contract (RAESC) is proposed to coordinate the closed-loop supply chain. References | Related Articles | Metrics

Adaptive Coordination of Closed-Loop Supply Chain for Consumer Electronic Product with Uncertainty Li Qing, Xiao Ren-bin 2013, 16 (4):  20-27.  Abstract ( 1352 )   Save The adaptive coordination problem of multicycle closed-loop supply chain for single consumer electronic product in uncertain environment is discussed. With an auto-control model, the source of vulnerability of consumer electronic product supply chain is studied. A self-adaptive fuzzy-PID coordination model with compensation is proposed. An application case is given to verify the proposed method. Result shows that the proposed model increases the response capacity of supply chain to risks at different stages of the product. The system returns to the equilibrium in only 3 weeks after encountering a significant risk. The steady-state error of inventory in the process of the entire life cycle of the product is kept in ± 5% or less. There is no requirement of excessive inventory redundancy. Thus, it makes the supply chain more efficient. References | Related Articles | Metrics

Dynamic Competition Strategy of Duopoly Manufacturers with BoundedRationality and Service Differentiation Zhang Xu-mei1,2, Zhao Min1,2, Dan Bin1,2 2013, 16 (4):  28-32.  Abstract ( 1458 )   Save The dynamic competition process of duopoly manufacturers with bounded rationality and service differentiation is addressed in this paper. With service competition considered, by using Cournot duopoly model, a repeated game model is established for the problem. Based on the model, balanced condition is analyzed in view of system evolution. With the balanced condition, a numerical simulation is performed. By numerical simulation, the influence of duopoly rationality and service level on duopoly manufacturers is analyzed. It shows that when the competition between duopoly manufacturers with bounded rationality enters a chaotic state, level of service and duopoly profit are not absolutely positively correlated. The best choice for duopoly manufacturers is to strictly control the output adjustment speed based on the comprehensive analysis of duopoly manufacturers' service levels and output competition strategy such that excessive competition is avoided and a system steady equilibrium is maintained. References | Related Articles | Metrics

Research on Duopoly Price and Advertising Game Tang Jian1, Wang Xian-jia2 2013, 16 (4):  33-37.  Abstract ( 1351 )   Save In this paper, by using game theory, the twodimensional relationship between advertisement and product price in duopoly competition is discussed. A mathematical model is developed and solved to optimize advertising cost and price at the steady state. With the model and examples, sensitivity analysis is conducted. Results show that, for competing manufacturers with the same advertising cost, the greater the market base a manufacturer has, the higher product price and advertising investment, and greater market demands are. The manufacturers who have small market base are in a disadvantage position in both demands and profits. Thus, strengthening the advertising competition is beneficial to manufacturers with a large market base, while enhancing price competition is beneficial to manufacturers with a small market base. References | Related Articles | Metrics

A Research on Overconfident Newsvendor Model Xie Yong, Meng Chu, Wang Hong-wei 2013, 16 (4):  38-43.  Abstract ( 1674 )   Save An overconfident newsvendor model is developed by defining the overconfidence as the newsvendor’s overprecision about the true demand. Closed-form optimal order quantity of the overconfident newsvendor is derived. A linear relationship between the optimal order quantity and that obtained from the benchmark newsvendor model is established. Then, the impact of overconfidence level on order bias and profit loss is analyzed. It is found that, as the overconfidence level increases, the overconfident newsvendor’s optimal order deviates far away from the benchmark newsvendor’s optimal order. Furthermore, the profit loss resulting from the overconfident is an increasingly convex function of the overconfidence level. Finally, a numerical example demonstrates the validity of the proposed model and results. References | Related Articles | Metrics

Game Theory-Based Analysis of Corporate Social Responsibility Mechanism with Government Involvement Wang Ming-liang 2013, 16 (4):  44-48.  Abstract ( 1265 )   Save To strengthen corporate social responsibility, theories, such as bargaining models and replicated dynamic equations, are used to analyze corporate social responsibility with relative data collected in China. Both asymmetric and evolutionary game models are developed for this problem. With them, mechanism of strategy equilibrium implemented by related parties and “governmentcorporate” game stable strategy implementation process in unequal power condition are analyzed. Results indicate that effective government involvement is the key for reversing the situation where enterprises fail to bear social responsibility in unequal conditions. This evolution trend depends on the co-integration among the reputation gains from the positive behavior of the enterprises, the cost of the illegal behaviors, and the reputation loss from negative behaviors. References | Related Articles | Metrics

A Study on Complex Networks for Price Transmission of Industrial Products in China Based on Symbolic Dynamics Liu Xiang-rong1, Yang Jian-mei1, Sun Hong-ying2, Xie Wei-cong1 2013, 16 (4):  49-55.  Abstract ( 1252 )   Save In order to study the price synchronization transmission of industrial products in China, 6 price indexes are selected as the price conduction chain of industrial products. The price transmission synchronization complex networks in China are established by using symbolic dynamics. Then, with the price conduction of automotive industry in Guangzhou as an example, the degree of distribution, weighted clustering coefficient, average shortest path length, and community structure of the network are analyzed. It is found that they share basically the same price conduction dynamics nature. In conclusion, a new perspective and approach of forecasting and controlling price volatility is provided. References | Related Articles | Metrics

Enterprise Performance Evaluation by Using Parallel DEA Model and SVM Classifier Li Ning1, Yang Yin-sheng2 2013, 16 (4):  56-61.  Abstract ( 1312 )   Save The complex structure in enterprises has a pivotal effect on enterprise overall performance. In this paper, performance evaluation for enterprises with parallel structure is studied. An integrated model with support vector machine (SVM) classifier and data envelopment analysis (DEA) is proposed. First, the DEA efficiency for each internal department in enterprises is analyzed and used as classification criterion and training data. Then, SVM classifier is applied to classify all departments based on class criterion. Finally, the classification information is integrated into the parallel DEA models so that the overall performance efficiency for enterprises with parallel structure is figured out. With an empirical analysis, the practicality, effectiveness, and operability are testified by using the integrated model. This model provides a referential analytic tool for measuring the enterprises with parallel structure. References | Related Articles | Metrics

DEA Model for Profit Distribution in Joint Bidding Alliance-Based on Efficiency and Fairness Zheng Sheng-qiang, Shu Huan, Xu Dan 2013, 16 (4):  62-66.  Abstract ( 1268 )   Save Effective and fair profit distribution is the precondition to ensure the steady cooperation and efficient operation for a joint bidding alliance. According to certain principle of profit distribution and actual operation of joint bidding alliance, the influence factors of income distribution of a joint bidding alliance is analyzed. By introducing data envelopment analysis (DEA) and its relative theories, an initial DEA model is established for profit distribution in considering effectiveness. Then, a modified planning model for profit distribution is derived in the view of fairness. A case study shows that the model established for profit distribution is effective and rational. References | Related Articles | Metrics

Key Competency Factors for the Successful Evaluation of Practical Talents of the Intellectual Property Rights Specialty Based on Analytical Hierarchy Process Li Li1, Sun Jian-qiang2, Zhou Xiao-hui3，Zhu Yan4 2013, 16 (4):  67-72.  Abstract ( 1292 )   Save The evaluation criteria of practical talents of the intellectual property (IP) rights specialty are summarized via a questionnaire of 29 managerial or technical staff members from the IP rights.related industries, technology or management, experts from the governmental departments related to IP rights industries, and scholars with backgrounds in IP rights.related industries who have actually participated in IP rights decision.making or related tasks and who have employed AHP screening criteria. The findings include three key factors in evaluating the practical talents' specialty: evaluating IP rights competency, locating the core technology group competency, and IP rights litigation competency. This research can provide a reference for Guangdong's related industry, when evaluating, screening and training practical talents of the IP rights specialty. References | Related Articles | Metrics

An Empirical Research of Guangdong Professional town Innovation-Service Platform Operation Ability Li Ji-cheng 2013, 16 (4):  73-79.  Abstract ( 1284 )   Save From the perspective of industrial transformation, the concept of innovation service platform operation ability is defined, upon which an empirical study of Guangdong innovation service platform operation ability is conducted, in which an evaluation, combined with the analytic hierarchy process (AHP) and data envelopment analysis (DEA), is undertaken of the innovation service platform of operation ability indexes. The results show that the whole platform operation capability is not ideal，but some parts are outstanding，and relevant policy recommendations are made. References | Related Articles | Metrics

practice & application

An Optimization Model and Solution for Lot Sizing Disassembly with Multi-Resource Constraint Guo Xi-wang， Liu Shi-xin 2013, 16 (4):  80-84.  Abstract ( 1190 )   Save Lot sizing disassembly is a key step in remanufacturing process. It plays an important part in material recycling and remanufacturing of recoverable components. Aiming at maximum disassembly revenue, a study on lot sizing of selective disassembly with multiresource constraint is conducted. An optimization model is developed for it. The problem is then solved by using CPLEX. Numerical examples are presented to test the model. Result shows that the model is correct and effective. References | Related Articles | Metrics

A Modeling Approach to POLCA for Quick Response Manufacturing Luan Shi-chao1，2, Jia Guo-zhu2, Si Xiao-ling3 2013, 16 (4):  85-91.  Abstract ( 1343 )   Save Based on the concept of quick response manufacturing (QRM), the operation mechanism of paired-cell overlapping loops of cards with authorization (POLCA) is analyzed. A fine division method of production periods is proposed to improve the average of the Little's Law for lead time and the number of work in process (WIP). Then a novel mathematical programming formulation is developed for the determination of the number of POLCA cards. By this model, it can minimize the production cost that is a weighted combination of the number of POLCA cards. The global optimal number of POLCA cards is found such that the system operates under high efficiency. By two examples, it shows that the model is reasonable and valid for two different operational modes. The proposed method is helpful for the mangers to accurately and effectively control the whole POLCA system for QRM.  References | Related Articles | Metrics

A Study on Granularity Design Method for Decomposition of Equipment Maintenance and Support Tasks in Wartime Cheng Zhong-hua, Liu Zhi-yong, Deng Li-jie, Sun Bao-chen 2013, 16 (4):  92-97.  Abstract ( 1329 )   Save In wartime, in order to model the equipment maintenance and support process such that maintenance and support plan can be created, the support task should be decomposed to functions and activities. With restrictions in a support process, based on support activities, task decomposition granularity design model is developed in this paper by using the cohesion conception of modularized design in software engineering. By calculating the task and function cohesion metrics, and defining the analysis and evaluation criterion of the model, a new method is proposed for task decomposition granularity design. An example is used to verify the model and method, result shows that it is feasible and effective. References | Related Articles | Metrics

Propagation Scope and Impact of Engineering Change in Product Design and Development Tao Fang，Wei Fa-jie 2013, 16 (4):  98-104.  Abstract ( 1224 )   Save The relationship between product design structure matrix, adjacency matrix, and reachable matrix is analyzed. Then, based on an interpretative structural model, a method is proposed to predict engineering change propagation. By this method, the reachable matrix is divided into a number of areas in a hierarchical way such that a multi-level hierarchical graph of changing tasks is established. In this way, the propagation scope and impact relation is clearly revealed. Further, fuzzy analytical hierarchy process (AHP) is used to evaluate the impact degree between changing tasks. The propagation scope and impact degree between some assembly changing tasks of one particular aircraft model are analyzed to demonstrate the effectiveness and practicality of the proposed method. References | Related Articles | Metrics

Heuristic Scheduling Method for a Class of Two-Stage Hybrid-Flow Shop with Limited Buffers Yu Yan-hui1,2,3, Li Tie-ke1,2 2013, 16 (4):  105-110.  Abstract ( 1421 )   Save The CC-HCR (continous costing hot-charge rolling) process in the steelmaking continuous casting production can be described as a kind of two-stage hybrid flow shop scheduling problem. A static and discrete-time integer programming model is established for it. By analyzing the characteristics of the problem in a new viewpoint, it turns out to be a three-stage hybrid flow shop scheduling problem with no-wait constraint. On this basis, two heuristic algorithms named JB and JBN are proposed. For the former, jobs are processed by problem-dependent heuristic rules. The backtracking is used to solve the constraints of limited buffers. For the latter, it is combined with NEH, which minimizes the idle time at the first stage as the objective function, adjusts the job sequence at the second stage, and improves the quality of the solution at the third stage. Furthermore, computational experiments are conducted to evaluate the effectiveness of these algorithms and it shows that they are feasible and effective.  References | Related Articles | Metrics

Multi-Cell System Facility Layout Optimization for Hybrid Facility Layout Problem Zhou Na1， Mi Wei-jian1， Jiang Bo2 2013, 16 (4):  111-116.  Abstract ( 1283 )   Save The concept of multi-cell system facility layout is introduced. The hybrid facility layout problem is converted into a multi-cell system layout design problem. Fuzzy theory is used to divide facility system into multi-cell facility system. The “field” fractal theory is used to design the most optimized layout for intra-cell layout and cellular layout. Numerical examples demonstrate that, without limiting to the form of hybrid facility layout, the proposed method can solve the hybrid facility layout problem well. It may serve as theoretical reference for similar researches.  References | Related Articles | Metrics

On Flexible Zoning Problem of Picking Area for Part SPS Distribution Wang Gao-lin, Lin Yu 2013, 16 (4):  117-121.  Abstract ( 1652 )   Save A research is conducted on the zoning problem of part distribution picking area for assembly lines with pull production. In such a set parts supply (SPS) distribution mode, to balance the picking time of each zone and identify production tact (TT), a mathematical model containing TT is established. By solving this problem to minimize the objective function, the optimal number of zones is obtained. Then, a heuristic algorithm is put forward. It optimizes the part picking frequency and sequence. By this method, it presents a rule to determine the location distribution. At last, an exemplary research is made. For this example, when TT is 160 s and 80 s, the result shows that the above two objectives are realized in reasonable error. Thus, with the changing of TT, one can flexibly change the number of picking zones. The proposed method provides a theoretical reference for decision-makers to realize shojinka in job site and reduce picking cost.  References | Related Articles | Metrics

Parallel Tabu Search Scheduling Algorithm for Job-Shop with Transport Robot He Zhi-zhou, Yang Yu-jun, Chen Xin-du 2013, 16 (4):  122-125.  Abstract ( 1295 )   Save In this paper, scheduling problem of job-shop with a single transport robot is addressed. A parallel tabu search algorithm is presented to minimize the makespan. First, with the characteristic of the problem, two schedules are created as the initial solutions by using a heuristic. Then, the tabu search algorithm is used for parallel search. By this algorithm, a disjunctive graph model is established such that the critical path and the block are found. Then, a strategy of moving or changing on block is used for the neighborhood in the algorithm. Experimental results show that the algorithm is effective. References | Related Articles | Metrics

On Standard Operation Time for Mould Production Based on Clustering Analysis and Statistical Analysis Luo Wen-de, Chen Qing-xin, Mao Ning, Yu Ai-lin, Liu Jian-jun 2013, 16 (4):  126-132.  Abstract ( 1359 )   Save Due to the wide varieties of mould products and the lack of structure similarity, it is difficult to set the standard operation times in mould production. To deal with this problem, based on clustering analysis and statistical analysis, an estimation method is proposed. By this method, with the actual man-hour information collected from an enterprise as basic data, a clustering analysis model is constructed for the process to classify the products. In addition, a statistical analysis model is constructed to establish the statistical distribution of operation times and standard operation times. Finally, the feasibility of the proposed method is verified by an industrial case problem.  References | Related Articles | Metrics

ARL-Based Statistical Design of T-2 Control Chart for Process Monitoring and Economic Model Wang Yang, Chen Xiang-dong, Shan Si-qing 2013, 16 (4):  133-139.  Abstract ( 1340 )   Save In order to minimize costs in manufacturing processes, the average run length (ARL) is used as standard multivariate T-2 control chart for process monitoring, performance analysis, and comparison between different monitoring rules. Then, an economic model is presented to minimize the cost. The proposed approach is applied to an industrial case study from an aircraft manufacturing company in China. Empirical results show that, by monitoring the process under Rule 3, T-2control charts for statistical process monitoring control are obtained. With the sampling capacity set at 11, the control of the cost parameters is effective. The proposed statistical design economic model is correct and effective and provides guidance to the actual production of an aircraft manufacturing company in China. References | Related Articles | Metrics

QFD-Based Service Design and its Application to Library Services System Chen Li, Xu Zhe，Liu Pei-hua，Tao Ran 2013, 16 (4):  140-146.  Abstract ( 1455 )   Save By using the service quality loop and quality function deployment (QFD) method, a service QFD measurement model for a systematic two-step service design process is built. At the same time, a fuzzy evaluation model of service importance elements (quality factor) is established. Detailed study is conducted for a university library service system. It identifies the critical service elements and quality factors to be improved in the library service system design so as to improve the quality of library services. References | Related Articles | Metrics