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30 April 2014, Volume 17 Issue 2 Previous Issue    Next Issue

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practice & application

Joint Optimization Between Berth Allocation and Yard Assignment in a Container Port Zhen Lu, Fu Fang-jiu 2014, 17 (2):  1-6.  Abstract ( 1853 )   Save Berth and yard are the core resources in container ports. In order to reduce port congestion and improve port operational efficiency, the relationship between berth allocation and yard assignment is considered, and a joint optimization approach is proposed. First, a mixed integer programming model is formulated for the problem. Then, a genetic algorithm-based solution method is developed to solve the model. At last, a series of numerical experiments are performed to compare the data between the joint optimization and traditional ones. Result shows the cost advantage and the efficiency of the proposed approach. References | Related Articles | Metrics

Research on Emergency Supply Stockpile Location under Uncertainty Scenarios Feng Chun1,2，Yu Yu-yang1 2014, 17 (2):  7-11.  Abstract ( 2602 )   Save Due to the uncertainty in accident locations and demands for rescue, it is important and meaningful to locate an emergency supply stockpile warehouse. With the uncertainty in accident locations and demands for rescue considered, a robust optimization model is presented by setting a series of demanding scenarios. By this model, the distance between the warehouse and an accident location is within a given range. Then, a genetic algorithm is designed to solve the problem. It is compared with the stochastic optimization model. Result shows that the proposed method outperforms the stochastic optimization solution method. Moreover, the proposed method can effectively reduce the effect of uncertainty in the site selection. References | Related Articles | Metrics

Application and Comparison of Agent and Supply Function Equilibrium- Models in Electricity Market Auction Zeng Ming, Wang Yu-ping, Wang Lei, Xue Song, He Yan-ying 2014, 17 (2):  12-16.  Abstract ( 1665 )   Save The advancement in power system reform promotes an increasingly competitive electricity market. Under such an environment, based on competitors and personal situation，power generation companies have developed reasonable and effective bidding strategies to maximize profits. By considering extreme value of the future market and the daily market, an agent model and supply function equilibrium (SFE) model are built. Then, the prediction accuracy obtained by the models is compared. With a numerical example of four typical days in a regional grid of some cities, it is shown that, in the non-peak hours, the agent model has a strong forecasting ability of the price level and volatility, while the SFE model can more accurately predict offpeak price level. References | Related Articles | Metrics

A Maintenance Decision-making Model Based on the Availability and Dynamic Maintenance Costs Song Zhi-jie1, Yang Zhi-xiu1, Zhao Yu-zhong1, Hou Gui-bin2 2014, 17 (2):  17-22.  Abstract ( 1508 )   Save In order to obtain an operational and practical equipment maintenance schedule, the theory of modern equipment maintenance is introduced. By considering the dynamic nature of the preventive maintenance cost, a preventive maintenance decisionmaking model is established. It takes unit time minimum maintenance cost as the objective and the availability of the equipment as the constraint in the preventive update cycle. With the method of enumeration and simulation software, a numerical example is given to verify the rationale of the model. It shows that producers can use the maintenance decisionmaking model to achieve minimal maintenance costs. References | Related Articles | Metrics

A GERT Model for Calculating the Production Buffering of Critical Equipment with Urgent Jobs Considered Liu Yuan1，Hao Jing-jing1,2，Ying Hong-bin1 2014, 17 (2):  23-30.  Abstract ( 1586 )   Save In order to reduce the negative fluctuation of unexpected urgent jobs on the normal production of critical equipment and assure the consistency of production schedule, a novel method for determining the production buffering of critical equipment in a manufacturing system containing unexpected urgent jobs is developed. The production manager can confirm the proper reserved capabilities according to the research result. Specifically, the procedures of urgent job arrival and manufacturing are discussed based on the queuing theory with a negative exponential distribution, and the transferring rules and realistic conditions are revealed. Additionally, a kind of graphic evaluation and review technology (GERT) model is utilized to describe the operation of urgent jobs in critical equipment and the transfer between adjacent nodes is studied. In doing so, the node transferring parameters and the moment generating functions are calculated. Furthermore, by the Mason rule, the probabilities of the stable states are determined to provide support for obtaining the buffering capacity of critical equipment. Finally, a group of machining centers in a research institution is used as a case study. It is shown that the average reduction of adjusted situations of monthly production plan of critical equipment group reaches to 14.6%. Thus, the fluctuation of production schedule can be effectively controlled and the feasibility and practicality of the proposed method are verified. References | Related Articles | Metrics

On the Economic Benefit of Titanium Dioxide Production Enterprise Based on Input-Output Model Huang Xiao-fang, Sheng Yong-xiang, Wu Jie 2014, 17 (2):  31-37.  Abstract ( 1462 )   Save For titanium dioxide production, the effect of the latest advanced technological combination in sulfuric acid method on economic benefit is discussed in this paper. The problem is formulated as an inputoutput model by considering environmental protection and cost. Then, the effect of the advanced technological combination on economic benefits of the byproducts, the cost savings of “three wastes”, and the reduction of environmental cost are analyzed. Results show that the proposed Input-Output model is applicable to the production of sulfuric acid process. Also, it shows that the technological combination is feasible and operational. References | Related Articles | Metrics

Inference of Telecom Customers' Behavior Based on Rough Entropy Wang Rui, Wang Bin 2014, 17 (2):  38-42.  Abstract ( 1439 )   Save In telecommunications churn management, it is important and challenging to predict customers-churn by using telecommunication customer behavior data. With behavioral attributes and state property of telecom customers being delineated, telecom customers-behavior characteristics are analyzed. Then, based on rough entropy, an algorithm is presented to analyze the telecom customers behavior. Meanwhile, an empirical analysis based on the behavioral data of a Hubei telecom enterprise is carried out. At last, association rules between the behavioral attributes and state property of telecom customers are given. It shows that, by the proposed algorithm, telecommunication customers behavior data can be effectively utilized to predict the customers-status. References | Related Articles | Metrics

Characteristics of Visual Search in Security Screening Based on Analysis of Eye Movement Data Jin Hui-bin，Cai Ya-min，Hong Yuan 2014, 17 (2):  43-48.  Abstract ( 1688 )   Save Currently, little attention is paid on the details of the research on visual search. Security screening is a special visual search process, and understanding this process is the premise of improvement. It is necessary to learn the visual search details in security screening. To test the rationality of the current security principle (from difficult to easy, from complex to simple) and the difference between the two groups, two groups (screener's group and students group) are selected to conduct a screening simulation experiment. Based on statistical analysis, by combining with the characteristics of the two groups, a nonparametric test is applied to analyze the differences on some parameters. Expert grading method is used to analyze the searching process. Results reveal that there are significant differences on fixation time percent, saccade distance, and judgment accuracy between the two groups. The screeners correct rate is 28.7% higher than student's, while screeners fixation duration is shorter. There are more than 75% of the fixation points lasting for less than 200 ms, while student's is about 17%. The screener's group tends to do systemic searching under the principle of screening, while the student's group prefers random searching. References | Related Articles | Metrics

Research and Application of Integrated Human Reliability Analysis Mode Sun Rui-shan，Zhang Si-yuan 2014, 17 (2):  49-54.  Abstract ( 2106 )   Save Enhancing human reliability is the key process for enhancing system reliability. Hence, it is necessary to analyze human reliability. Currently, various human reliability analysis (HRA) models are used to accomplish this goal. However, these models have their own limits. In order to analyze human errors in aviation, three HRA models are applied, including technique for human error rate prediction (THERP), cognitive reliability and error analysis method (CREAM), and information decision action in a crew (IDAC), compared and eventually combined. By establishing an integrated model which makes use of three models advantages, the human errors in aviation can be effectively analyzed. An example is given to illustrate the application of the proposed model. References | Related Articles | Metrics

Demand Analysis of Public Bicycle System Based on Circular Distribution Method and Time Series Model Xu Ye-ranzi, Shen Jin 2014, 17 (2):  55-63.  Abstract ( 1738 )   Save In order to forecast the demand of a public bicycle system, obtain effective schedule, and satisfy the public requirement, a method is proposed to analyze the demands of public bicycles by using a circular distribution and time series model. The demand peak for a public bicycle system is first determined by using the method of circular distribution. Then, the demand at the peak is analyzed by using time series model. The effectiveness of the proposed method is verified by comparison between the predicted demand and the reality. References | Related Articles | Metrics

articles

LMI-based Research on Stability of Leagile Supply Chain with Grey Non-linear Characteristics Zhang Xue-long1,2 , Wang Yun-feng1 2014, 17 (2):  64-69.  Abstract ( 1830 )   Save In leagile supply chain management, it is important to operate a supply chain smoothly. However, with grey and non-linearity, it is very challenging to model and control such a supply chain. On the basis of non-linear and time delay leagile supply chain systems, a grey and non-linear model is developed for a leagile supply chain. Then, a linear matrix inequality method is used to analyze its stability and an effective stability criterion is obtained. In order to verify the feasibility and effectiveness of the proposed method, a core product supply chain systems of YL Group in the medicine industry is used as a case study. By using Matlab 7.0, the stability of the system state diagram is drawn before and after customer order decoupling point(CODP). Results show that when CODP moves down, not only the supply chain type is changed but also different influence factor of stability between lean supply chain and agile supply chain is uncovered. The former is affected by order size, and the latter is affected by the accuracy of market demand forecast. References | Related Articles | Metrics

Research on Recycling Channel Models of Waste Products in Remanufacturing Process Peng Ning，Wu Di 2014, 17 (2):  70-77.  Abstract ( 1806 )   Save Focusing on manufacturers, retailers, and the third party in a closed-loop supply chain, the three-mixed recycling-channel mode of waste products recycling is discussed, and a related revenue function model is constructed. By using the Stackelberg game theory, with repurchase price of the manufacturer charged to other parties as the independent variable, the relevant indicators consisting of retail price, recovery of waste products and manufacturer profit selected, and indicators on the repurchase price of its underlying objective function are derived. In the case with other conditions remaining unchanged, a comparative analysis is conducted and the best mode of mixed recycling channels for manufacturers and retailers is obtained. An example is used to verify the obtained results and realistic meaning is interpreted. The significance of the proposed method lies in that it can help companies in the recycling industry chain to choose appropriate recycling channel and make a beneficial decision. References | Related Articles | Metrics

Research on Channel Selection of Threelevel Competitive Supply Chains Wei Ling, Yao Feng-min 2014, 17 (2):  78-84.  Abstract ( 1559 )   Save The Nash equilibrium structure of threelevel competitive supply chains is addressed under the background of interchain competition. The problem is modeled by nonlinear programming, Nash game theory, and Stackelberg game theory, respectively. Based on these models, optimal solutions are obtained under three scenarios: fully distributed structure, fully integrated structure, and hybrid structure in which one supply chain is integrated and the other is distributed. Then, channel selection for two threelevel competitive supply chains is analyzed. In this way, the Nash equilibrium structure is obtained based on three different decision criteria: the profit maximization of manufacturer, profit maximization of channel, and profit maximization of supply chain system. Results show that the Nash equilibrium structure of threelevel competitive supply chains depends on the coefficient of product substitution and the decision criteria. However, when the competition intensity between supply chains is strong, no matter what decision criteria is applied, the fully distributed structure is the Nash equilibrium structure of a supply chain. References | Related Articles | Metrics

Inventory Optimization Decision in Dual Channel Supply Chain Based On Markov Chain Fan Dandan, Xu Qi 2014, 17 (2):  85-91.  Abstract ( 1605 )   Save With the inventory control risk caused by customer demand instability in the dual channel supply chain considered, based on Markov chain, an inventory optimization model in dual channel supply chain is put forward by using customer demand shift to describe customer demand instability. For dual channel cooperation and noncooperation cases, Markov theory is used to build a model of steadystate probability of inventory and the inventory cooperation transfer price contract, respectively. Then, through Matbab numerical simulation, the influence of customer shift rate between channels on optimal inventory strategy in a dual channel supply chain is analyzed. It is found that inventory strategy with dual channel supply chain cooperation is better than that without cooperation when there is a customer demand shift in the two channels. References | Related Articles | Metrics

Component Production and Replenishment Policy in ATO Supply Chain Based on Bargaining Game Li Yu-yu1, Huang Bo2 2014, 17 (2):  92-98.  Abstract ( 1720 )   Save A bargaining cooperative game model for assembletoorder (ATO) supply chain composed of a final product manufacturer and two suppliers is proposed to study the component production and replenishment policy and the corresponding profitsharing policy. The effect of participants bargaining power chain on the optimal solution is analyzed. It is found that ATO supply chain should raise the component production with the rise of the final product price, and reduce it with the rise of assembly cost of finished product or production cost of components. With the improvement of the bargaining power of final product manufacturer to one supplier, the transfer price of components and profits of this supplier is reduced, while those of another supplier are increased at the same time. The expected profits of the final product manufacturer increase if its bargaining power is stronger than another supplier, and otherwise it reduces. References | Related Articles | Metrics

Ordering Decision of Fresh Agricultural Product Supply Chain with Fairness Concer Hong Mei-na, Sun Yu-ling, Shi Kui-ran 2014, 17 (2):  99-105.  Abstract ( 1816 )   Save With the behavior of the retailers fairness concern, the optimal ordering decision of fresh agricultural product is studied in this paper. An order decision model of fresh agricultural product supply chain is developed by using both degree of fairness concern and reference dependent factor. Theoretical analysis and numerical examples show that the ordering quantity when the retailer considers fairness is lower than that when the retailer does not consider fairness. Also, when the retailers fairness concern gets higher, the suppliers wholesale price would get lower in a decentralized supply chain. In addition, the wholesale price contract cannot coordinate a fresh agricultural product supply chain in this scenario. However, the retailers quantity decreases as the fairness concern becomes higher and the profit of the retailer and supplier members also decrease. References | Related Articles | Metrics

Research on Production Planning and Production Capacity Accounting Based on Supply Sub-chain Tu Jian-fei1,2, Fang Zhi-mei1,2 2014, 17 (2):  106-110.  Abstract ( 1430 )   Save In a supply chain production environment, the suppliers manufacturing resource is an integral part of manufacturing enterprises manufacturing resources. The supply subchain constituted by a part of the nodes of a supply chain is the object of production planning and production capacity calculation. Based on the analysis of the types and calculation method of the production capacity of supply subchain, the production planning and production capacity accounting process of a supply chain are presented. The bill of material supply subchain, key capacity of the subchain, bill of production capacity demand of subchain, and the capacity accounting method, etc. are introduced. Finally an application example is given. References | Related Articles | Metrics

Profit Distribution Mechanism of Upstream Segment for VMI&TPL Supply Chain Yang Huai-zhen, Feng Zhong-wei, Xie Dong-mei 2014, 17 (2):  111-117.  Abstract ( 1522 )   Save Based on the established demand, the benefit distribution problem is studied for the upstream segments of a supply chain with vendormanaged inventory and third part logistics (VMI&TPL). An economic effect model is established with the impact of implementing VMI relevant parameters taking into account. By using the logic of Shapley value algorithm, the profit distribution mechanism is constructed. An idiographic example is used to testify the proposed method. Results show that, by the proposed method, profit can be rationally allocated among the participating enterprises, and the increased inventory costs undertaken by suppliers can be offset. References | Related Articles | Metrics

Research on Profit Distribution of VMI with Stockout Cost Considered Huo Yan-fang，Deng Quan，Wu Bo-wen 2014, 17 (2):  118-124.  Abstract ( 1569 )   Save Targeting at profit distribution, with stockout cost considered, supply chain parameters are analyzed based on the comparison of inventory cost modes before and after vendormanaged inventory (VMI). It is found that the responsibilities and benefits between suppliers and retailers are inconsistent. Then, Stackelberg model, revenuesharing contracts, and price contracts are applied to establish a profit distribution model. With this model, purchasing price of a retailer and revenuesharing coefficient are decided. A numerical example is used to validate the proposed model. References | Related Articles | Metrics

Research on the Model of Service-oriented Manufacturing System under Customer Participation Luo Jian-qiang, Zhu Teng-fei, Zhao Yan-ping 2014, 17 (2):  125-131.  Abstract ( 1565 )   Save One of the characteristics of service-oriented manufacturing is that the product service system involves customer participation. For a serviceoriented manufacturing enterprise facing the problems of customer participation, it is difficult to measure the performance of product service system. With customer participation as a variable, models covering customer participation, customer satisfaction, market demand, and firm profit are constructed. Analysis shows that the customer participation can achieve customer satisfaction under certain conditions, leading to the improvement of market demand and firm profit. The logical relationship among customer participation, customer satisfaction, market demand, and corporate profit are interpreted by using the theory of the balanced scorecard. Finally, an example shows the validity and effectiveness of the proposed model and theory. References | Related Articles | Metrics

Study on Delivery Date Decision for MTO Manufacturing Mode Wang Wen-long, Zhang Bi-xi 2014, 17 (2):  132-135.  Abstract ( 1585 )   Save In manufacturing enterprise, if product delivery date is set to be too late, an enterprise would lose its costumer order because of the lack of deliver time advantage. However, if the delivery date is set to be too early, enterprises would have deficit because of overload and increased cost. To predict order delivery date for small and mediumsized manufacturing enterprises operating in a maketoorder mode, price, demands, earlier completion, later delivery, overtime work, association, loss rate, and so on are analyzed. Then, with income maximization as objective, a deliveryincome model is presented. By using Matlab, a reallife case problem is given to verify the usefulness of the model. Results show that extending the due date by effective strategies, such as pricing strategies, all orders can be done by regular and overtime production. The due date that corresponds to full capacity is the optimal promised delivery time in the sense of gain maximization. References | Related Articles | Metrics

A Fuzzy AHP Comprehensive Evaluation of Public Acceptance  to Plant Based on ISM Jiang Jin-gui1，2, Liu Xian-ming1 2014, 17 (2):  136-141.  Abstract ( 1539 )   Save  On the basis of existing researches, the influence factors of public acceptance to nuclear power plant are summarized. By applying the method of interpretative structural modeling (ISM), the main influence factors of public acceptance to nuclear power plant are identified such that an evaluation index system is constructed. With Daya Bay nuclear power plant in Guangdong as an example, its public acceptance is evaluated by applying the fuzzy analytic hierarchy process (AHP) comprehensive evaluation method. It is concluded that the public acceptance to Daya Bay nuclear power plant is at the average level. There are some deficiencies in cognition, emotion, intention, trust, and participation in the controllability. As a solution, the Daya Bay nuclear power plant should take measures to improve the level of public acceptance. These measures include popularizing nuclear power plant knowledge, establishing the linkage news release mechanism, strengthening supervision and management, intensifying communication with the public, improving public participation, and so on. References | Related Articles | Metrics

practice & application

Study on Impact of Development of Modern Service Industry on the Economic Structure in Shaanxi Province Zhang Su-xian, Tang Xian-wei, Zhang Li-juan 2014, 17 (2):  143-147.  Abstract ( 1401 )   Save  Based on the economic development of Shaanxi Province, the evaluation factors of the modern service industry and the scope of the economic structure in Shaanxi Province is determined first. Then, based on multiple regression analysis models, the impact of the development of modern service industry on the economic structure in Shaanxi Province is analyzed. Results show that the development of modern service industry and the financial sector has a significant impact on the industrial structure in Shaanxi Province. The per capita gross domestic product and the proportion of modern service industry employment have a significant impact on the employment structure in Shaanxi Province. The per capita gross domestic product and the financial sector have a negative effect on the consumption structure. The fixed assets investment share of modern service industry and the labor productivity of modern service industry also have a great impact on the investment structure. Finally, the countermeasures and suggestions for promoting the economic structure optimization and adjustment through the development of modern service industry in Shaanxi Province are put forward.   References | Related Articles | Metrics

articles

Research on the Structure and Efficiency Share in Qingdao‘s Industrial Energy Intensity Change Jiang Shi-hao, Chen Dong-jing 2014, 17 (2):  148-152.  Abstract ( 1550 )   Save In order to reveal the Qingdaos industrial energy intensity change and its underlying causes and explore effective policy for reducing industrial energy intensity, a study on industrial energy intensity, and the efficiency and structure share in Qingdao is conducted. By using factor decomposition analysis technique, a quantitative approach is proposed. Results show that, between 2000 and 2011, it has an overall declining trend in industrial energy intensity in Qingdao, the structure share is in declining, and the efficiency share is gradually increased. Also, it shows that the resourcesaving society construction exerts a great impact on structure and efficiency share. Thus, one can concludes that, to promote Qingdaos industrial energy intensity and internal industrial structure, it is necessary to further adjust, optimize, and upgrade hightech industries so as to vigorously develop recycling economy. References | Related Articles | Metrics