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30 June 2015, Volume 18 Issue 3 Previous Issue    Next Issue

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System Dynamics for Internet-of-Things-based Real-Time Manufacture Systems Qu Ting1,2， Chen Yan1， Wang Zongzhong1， Chen Xindu1, Dai Qingyun1， Huang Guoquan1,2 2015, 18 (3):  1-09.  Abstract ( 1140 )   Save The performance of a manufacturing system is affected by various dynamic operational factors. Through appropriately designing the system structures and information sharing mechanisms, the system's overall performance can maintain a statistical optimal state in the presence of dynamics. System dynamics has been widely used for this purpose yet mainly focusing on structure design. With the possibility of realtime information capturing and transferring brought by InternetofThings (IoT) technologies, to design an efficient IoTbased information sharing mechanism for a fixedstructure manufacturing system is regarded as an costefficient way to pursue high performance in a dynamical manufacturing environment. For this purpose a SD model is developed for a representative IoTbased manufacturing system. Apart from demonstrating the effectiveness of IoT on the system performance enhancement, return on investment analysis provides a reasonable evaluation of the feasibility to invest IoT solution for a manufacturing system. References | Related Articles | Metrics

Supply Chain Contracts Based on Price Change in Garment Industry Jian Ming, Zong Han，Lu Gong-yuan 2015, 18 (3):  10-16.  Abstract ( 1244 )   Save Considering the influence of sales price change on the apparel supply chain, a twoechelon sales supply chain model with single ordering is established based on game theory. Through an analysis of single contract and combined contract in the supply chain coordination, a conclusion is drawn that the composite contract is better than the single contract. With the optimal status of the whole supply chain, the single contract parameter design depends on the production cost and demand of the corporation, but it only correlates with production cost within the combined contract. With reasonable designing of parameters and wholesale price, the combined contract can coordinate the supply chain. Changes of sales price will influence the parameter design within the composite contract. In addition, privilege royalty transfer payment contributes to the coordination of the supply chain. The results are supported by an empirical study. References | Related Articles | Metrics

Buyback Contract and Coordination in Supply Chain with Single Supplier and Multiple Loss-averse Retailers Li Zhan-lei, Zhang Jing, Zhang Hong-tao 2015, 18 (3):  17-21.  Abstract ( 1100 )   Save In order to maximize the operation performance of supply chain, a research is conducted on a risk neutral supplier and multiple retailers based on prospect theory, and a buyback contract model considering retailers' risk aversion ratio is discussed. It is found that there is a unique Nash equilibrium total order quantity to maximize the expected utility of multiple competing lossaverse retailers and that when the degree of risk aversion of retailers is higher or lower,a unique of buyback price is proved to maximize the operation performance, and achieving the coordination of whole supply chain. References | Related Articles | Metrics

A Research on Financing Model Selection Based onRetailer Competition with Capital Constraints Lin Qiang, He Yong 2015, 18 (3):  22-29.  Abstract ( 1118 )   Save  A supply chain consisting of a supplier and a lot of retailers is used as the background of this research. All retailers are small and have financing difficulties. Revenue sharing contract is signed between the supplier and each retailer. To improve the supply chain performance, the supplier provides two financing ways for retailers. They are delay payment and confirmed warehouse. A research is conducted into the impact of these two financing modes on the supply chain performance. A Stackelberg game model is used to compare these two financing modes. The retailer's optimal order quantity under confirmed warehouse is larger than that under delay payment. It is found that in the case of centralized supply chain these two financing modes can coordinate the supply chain, while in the decentralized supply chain, the wholesale price and income distribution factor can maximize supplier profit and coordinate the supply chain at the same time. References | Related Articles | Metrics

Contract and Game Models of Green Supply Chain with Risk-averse Retailer   Jiang Shi-ying1,2, Ma Chun-yan3 2015, 18 (3):  30-35.  Abstract ( 1182 )   Save  Based on a two-stage green supply chain consisting of a manufacturer and a risk-averse retailer, considering the degree of risk aversion and product greenness, consumer preferences and other factors, the centralized decision-making game models and manufacturer-led Stackelberg game model are established. Comparing the two game models, interaction of product greenness, wholesale prices, product prices and risk aversion and risk aversion utility for manufacturers and retailers are also discussed. Finally, the revenue sharing contract is used to coordinate the green supply chain. Results: In a centralized decision-making model, the retailer's profit per unit and gross profit of products are zero; in the manufacturer-led Stackelberg game model, product price will be gradually reduced along with retailers improving the degree of risk aversion; the transfer price in the manufacturer-led Stackelberg game model is greater than that in centralized decision-making model; and there are revenue sharing coefficients so that the manufacturer-led green supply chain and the retailer-led green supply chain can be coordinated References | Related Articles | Metrics

practice & application

Optimization of time slot distribution under the constraint of customer preferences in online-retailers Li Heng, Chen Huai-li, Xu Lang 2015, 18 (3):  36-41.  Abstract ( 1134 )   Save In B2C, improving delivery slots operational efficiency, reducing operational costs through efficient resource utilization, and obtaining in good economic benefits, is the key for online retailers to improving competitiveness. As a single-goal study cannot fully reflect the actual distribution, a multi-objective optimization is conducted based on customer preferences minimum deviation slots and slot distribution costs smallest integrated optimization model. A numerical example is used to simulate several different situations, proving that integrated optimization model is better in terms of time and cost than the traditional single objective, making the largest distribution utility slot comprehensive. References | Related Articles | Metrics

articles

Recycling Channel Selection Strategy of-Closed-loop Supply Chain under Government Intervention An Tong1， Zhou Hai-yun2,3 2015, 18 (3):  42-47.  Abstract ( 1144 )   Save In order to improve the recovery efficiency, recycling channel selection of closed-loop supply chain under government intervention is studied. Closed-loop supply chain decision models are established under single recycling channel (the manufacturer), single recycling channel (the retailer) and mixed recycling channel. Then strategies for choosing recycling channel are studied respectively from the perspectives of consumers, the government, the manufacturer, the retailer and the whole supply chain. The results show that the retailer always wants to participate in recycling and that from the other four perspectives, with recycling channel selection mainly affected by recycling competing intensity, government intervention has little effect on recycling channel selection. The results can be used as a reference for the government's environmental policy and macrocontrol policy, recycling channel selection for the members of the closedloop supply chain and consumers. References | Related Articles | Metrics

An Evolutionary Game Simulation on the Core Enterprise and Its Supporter in Collaborative Innovation Yue Hu1,2, Zhu Huai-nian2 2015, 18 (3):  48-54.  Abstract ( 2933 )   Save The Stackelberg game model is applied to analyze the collaborative innovation among the Core enterprise and Its Supporter and to calculate the optimal effort of supporting enterprises, based on which the payoff matrix of the core enterprise and its supporter is calculated. Then the influence of selection strategy of the core enterprise and its supporters with the third party intervention is studied. The evolutionary trace of the equilibrium point is proved by adopting a numerical simulation. The research shows that collaborative innovation is a win-win strategy, and that the two sides in the collaborative innovation achieve stable equilibrium when there is intervention of the third party in the clusters and the technology subsidies ratio of core enterprise and the risk supporting enterprise bears is equal. Finally, the corresponding countermeasures and suggestions are put forward. References | Related Articles | Metrics

A Comparative Analysis on the Operating Cost of -Freight Enterprises under Implementation of Carbon Policies Chen Zhen1, Xu Li-ping2 2015, 18 (3):  55-62.  Abstract ( 1114 )   Save The two carbon policies, carbon trade and carbon tax, are considered, and their influence to freight enterprise operating cost discussed, with the optimizing target to minimize the total cost. The fuel consumption is related with the load weight of freight car and opportunity cost needs to be paid when decreasing fixed carbon emission. A two-stage model is proposed and a genetic algorithm designed to solve it. Numerical analysis shows that carbon policies increase the operation cost, but can spur enterprises to reduce emission. Freight enterprises can reduce carbon emission in two ways, one of which is to reduce fixed carbon emission like cutting down electricity consumption and evections, and the other is to improve vehicle performance, like decreasing fuel consumption per 100 km and enhancing emission standards.  References | Related Articles | Metrics

An Evolutionary Study of Production Decision of Firms with Bounded Rationality Gao Yan，Shi Kui-ran 2015, 18 (3):  63-68.  Abstract ( 1092 )   Save The standardization and customization decisions of two types of firms with the assumption of consumer heterogeneity both in product attributes and firm preference are studied. By introducing product variety and customization level, an evolutionary game model is presented to study the evolution of production decision of firms with bounded rationality. Theoretical analysis and numerical examples show that the evolutionary equilibrium outcome depends on the effect of the firms' operational status as well as the degree of customer's intensity about product variety and customization level. Meanwhile, an index signifying the relative attractiveness of standardization and customization strategies is developed, which provides theoretical base for production mode choice of the firms. References | Related Articles | Metrics

A Research on Multi-skill Human Resource Leveling -Scheduling Model of Software Development Project Liao Ting-ting, Xu Zhe, Li Ming 2015, 18 (3):  69-74.  Abstract ( 1205 )   Save In order to simultaneously solve the project scheduling problem and multiskill staff assignment and reach a balanced resource allocation in software development projects, a mixed integer programming model with multiskill human resource levelling scheduling is established. A software development project instance is calculated by Lingo11 with improved branch and bound method. After the optimization, variances of both resource intensity and staff workload have a significant reduction. This optimization result confirms that the new model can significantly improve the equilibrium level of demand for employees and staff workload distribution in project lifecycle. References | Related Articles | Metrics

A Study of Distribution Center Location Based on-Collaborative Distribution Under E-commerce Xie Tian-bao1, Zhang Xiao-wen1, Wu Kai-bo2, Hu Dan1 2015, 18 (3):  75-81.  Abstract ( 1131 )   Save Aiming at selecting the distribution center location under e-commerce and comprehensively considering various facts impacting the location, such as the transportation cost, time window analyzes and so on, collaborative strategies are used to study the issue and a new collaborative-based strategic model is proposed. Based on the collaborative strategy, the model can effectively optimize a variety of factors affecting the distribution center location under e-commerce. The experiments show that the proposed model can better verify the selection schemes under e-commerce, which include timeliness requirement and low distribution cost. References | Related Articles | Metrics

practice & application

Facility Location for Failure Rescuing Vehicles Considering Workload Equilibrium Fu Hui1, Yuan Fei1, Zhou Hua-bing2 2015, 18 (3):  82-87.  Abstract ( 1126 )   Save Facility location is critical for failure vehicle rescuing during traffic accidents. Improper location of rescuing facilities may result in low service efficiency, unfair competition, and unequal interests between different service enterprises. Both the club-mode and the government dominated rescuing service modes are analyzed for those problems. Based on the definition of the workload equilibrium of rescuing service, the facility location model of vehicle rescuing is built up with consideration of uncertain travel time. The novel model aims to improve the operational efficiency of the rescuing facilities and balance the profits between enterprises for providing rescuing service. A hybrid coding method with three types of chromosomes and stochastic simulation technology are used, and an optimal algorithm based on genetic algorithm is designed for solving the proposed model. Lastly, a case study is used to show the effectiveness of the model and the corresponding algorithm. References | Related Articles | Metrics

A Study of Berth Allocation with Service Restrictions Li Ming-kun 2015, 18 (3):  88-91.  Abstract ( 1200 )   Save A river terminal with service restriction due to tidal or sediment deposition problems is under study. However, existing studies focus on the berth allocation in seaports and therefore the results cannot be adopted in operating the river terminal. By proposing an integer programming model, a berth allocation problem with barge berths and vessel berths is analyzed and allocation of berth sections to both barges and vessels are optimized. When additional service time is less than 10%, it contributes to improving the productivity of the whole terminal by mooring barges at vessel berths. References | Related Articles | Metrics

A Disruption Management Research of -Garbage Collection and Transportation Vehicles Ma Hui-min1, Luo Chang-jian2 2015, 18 (3):  92-97.  Abstract ( 2961 )   Save To solve the vehicle failure problem in municipal domestic waste collection and transportation, a method of identifying disruption and measuring the disturbance caused by the initial plan deviation is put forward based on the disruption management theory. A garbage collector and vehicle disruption management schedule is established aiming at minimizing the deviation with the original plan. In the end, through the comparison of the experimental results with the schedule, the effectiveness and superiority of the model and algorithm are proved. References | Related Articles | Metrics

A Three-stage Decoding Method for Just-In-Time Job-Shop Scheduling Wang Sun-xin1,2, Li Yan1, Huai Wen-bo2 2015, 18 (3):  98-104.  Abstract ( 2928 )   Save Some parts of large and complex products are very complicated in manufacturing since they have many operations to go through and are time-consuming. The just-in-time (JIT) scheduling is suitable to lean control these manufacturing process. In order to cope with the time consuming problem, the two-tage strategies were employed to solve JIT scheduling problem in most researches. A novel genetic algorithm (GA) with three-stage decoding mechanism is introduced in this research. In each iteration process of GA, the chromosomes, which are represented by an operationbased scheme, are decoded successively by three stages. Firstly, the semi-active decoding method is induced to explore the more search space of solutions. Secondly, the greedy insertion for tardy operations is executed to swap the tardy operations left to the machine idle time to reduce the tardiness costs of solution. Thirdly, the greedy insertion for early operations is proposed to swap the early operations rightly to the suitable machine idle time to cut the more earliness costs. The experimental results finally demonstrate the effectiveness and efficiency of our algorithm over a wide range of benchmarks. References | Related Articles | Metrics

A Short-Term Schedulability Analysis of Crude Oil Operations under Hybrid Oil Feeding Mode Zhang Si-wei, Wu Nai-qi 2015, 18 (3):  105-112.  Abstract ( 1049 )   Save For crude oil operations in a refinery, often a charging tank is dedicated to a single distiller in distiller feeding. However, in many cases, there are not enough charging tanks for feeding distillers in this way. To solve this problem, a charging tank may feed two distillers simultaneously for some time. In other words, a hybrid oil feeding mode by combining these two modes is used. With a hybrid oil feeding mode, the short-term scheduling problem of crude oil operations is very complicated. Such a scheduling problem under a hybrid oil feeding mode based on a control theory perspective is discussed. The system is modeled by a Petri net. With this model, the effect of the number of charging tanks and distillers, the capacity of charging tanks, and the flow rate of the pipeline on the schedule are analyzed and schedulability conditions are derived. An industrial case study is presented to verify the obtained results. References | Related Articles | Metrics

Optimization of the Assembly Line Subject to Workers with Different Skills Li Bai-lin, Yu Au-lin, Mao Ning, Chen Qing-xin 2015, 18 (3):  113-118.  Abstract ( 1186 )   Save  An optimal design of assembly lines where the workers have different skills is proposed. Firstly, a mathematical model for this problem is built. Secondly, a two-phase solution is proposed to tackle this problem where the first step is to schedule the processes and the second step to allocate the workers to the processes. In this solution, a genetic algorithm with double encoding pattern and branch and bound method are applied, with the upper and lower bounds proposed. To evaluate the effectiveness and practicability of the method, a case of assembly line from one enterprise isimulated by the method. References | Related Articles | Metrics

A Comparative Research of Boeing and Airbus Cockpit Error Proofing Design  Sun Ruishan, Zhao Kang, Luo Tingting 2015, 18 (3):  119-126.  Abstract ( 1149 )   Save Error proofing design for controls in aircraft cockpit is one of the design goals of ergonomics. Based on error proofing design methods, the differences and similarities between Boeing and Airbus aircraft are studied by analyzing questionnaire data. By analysis of variance, the reasons for the different efforts of error proofing design methods between Boeing and Airbus aircraft are further studied. The analysis is divided into two parts: the degree of security support and the rate of recurrence. The effects of age, driving experience, technician grade on the same error proofing method are considered. The result shows that Boeing design has a superior maneuverability and Airbus design stresses on logical protection. With the growing of age and driving experience, the frequency of operating error has different trend for different controls. The research provides a reference for the study of error proofing methods in the cockpit.   References | Related Articles | Metrics

Multivariate Statistical Process Control for- Engine Flatness Using 2Dimensional Fused LASSO Lu Yong-ting, Li Yan-ting 2015, 18 (3):  127-133.  Abstract ( 1051 )   Save A new multivariate statistical process control (MSPC) chart methodology is developed based on the two-dimensional Fused LASSO (least absolute shrinkage and selection operator) for quality control in which the mean shifts have some natural ordering in two-dimensional plane. Because of the twodimensional Fused LASSO penalties on the difference between successive variables, it is a desirable tool to identify the natural ordering among variables. The numeric simulation study shows that the two-dimensional Fused LASSO control chart can more quickly and efficiently detect mean shift of such structure, especially where the shift value is large. Finally an application to the engine flatness data shows that the two-dimensional Fused LASSO control chart is applicable and useful. References | Related Articles | Metrics

An Analysis of Multivariate Measurement System Capability via-Integrating Dimensional Analysis and Statistical Method Run-mao, Shi Liang-xing, Niu Zhan-wen 2015, 18 (3):  134-140.  Abstract ( 1043 )   Save Multivariate measurement system analysis is of importance to multivariate quality control. Existing research mainly applies statistical methods for analysis and evaluation, such as multivariate analysis of variance and principal component method. A capability evaluation method of multivariate measurement system based on multidimensional analysis is proposed. The physical relationship between relevant variables of products is analyzed with the method and the problems of multivariate measurement system transformed into univariate measurement system, so that statistical methods and indexes of univariate measurement system can be used for evaluation. The effectiveness of the method is proved in a case study on the measurement system of paper planes. References | Related Articles | Metrics

An Empirical Research on Optimization of the PIVAS of Some Tertiary Teaching Hospital Based on Lean Concept Liu Peng, Dai Hong-hao, Chen Han, Wang Shan-shan, Li Cong-shuang, Zhao Hang, Yu Xin, Jiang Sheng-qian 2015, 18 (3):  141-145.  Abstract ( 1142 )   Save Aiming at reducing waste during admixture process in pharmacy intravenous admixture services (PIVAS), 5W1H is employed to analyze waste factors during the admixture process, and a fishbone diagram is used to obtain the main factors. The two interventions of using commercial premixed frozen Intravenous (IV) products and increasing IV batching frequency are proposed. Then design of experiment (DOE) is used to study the impact of the two interventions on reducing waste in PIVAS. The results show that the interventions have made a desired improvement and improved practicability and efficiency during the admixture process.  References | Related Articles | Metrics