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Decision Making for Selection of Lump-Sum Contracting Project Delivery Methods with Uncertainty Wang Xue-tong Industrial Engineering Journal    2011, 14 (2): 104-108.   Abstract （12735）            Knowledge map    Save In selecting one of the project delivery methods (PDMs),the existing models always neglect the uncertainties of the decisionmakers for the problem to be solved,which may result in nonoptimal ranks for the alternatives.According to the uncertain factors of lumpsum contracting PDMs,assumptions are presented for the decision making problem of selecting a lumpsum contracting project delivery method.The problem is solved by using uncertain multiple attribute (UMA) theory.Based on UMA,a decisionmaking support model is proposed.In the model,a sorting vector of possibility degree is obtained by using UEOWA and ULHA operators.In this way,an attribute evaluation system is developed.A case study is used to show the decisionmaking procedure and the effectiveness of the proposed method.   Reference | Related Articles | Metrics

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null BIAN Ji-Bu Industrial Engineering Journal    2010, 13 (6): 1-.   Abstract （12705）            Knowledge map    Save null Related Articles | Metrics

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A Research on Multicollinearity in Multidimensional System Optimization-Based on FDOD Measurement Han Ya-juan Industrial Engineering Journal    2013, 16 (5): 79-84.   Abstract （7843）            Knowledge map    Save Due to the multicollinearity, it is difficult to accurately calculate the Mahalanobis distance, which is puzzling in multidimensional system analysis. Gram-Schmidt method and adjoint matrix method of MTS, put forward by Genichi Taguchi, are used to solve multicollinearity problems by improving Mahalanobis distance function. However, both of them have some insuperable defects. The function of degree of disagreement (FDOD) measurement, a method based on entropy, is adopted to measure the degree of abnormality of multidimensional observations instead of Mahalanobis distance function. Also, FDOD measurement and Taguchi method are integrated for multidimensional system optimization and dimension reduction, which thoroughly solve multicollinearity problems. Cases of Spanish banks in financial crisis are analyzed to illustrate the effectiveness of the proposed method. Reference | Related Articles | Metrics

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Supplier Selection Based on Uncertain Linguistic Information Tan Dixi1,2, Chen Jiao2, Wang Xiaotun2 Industrial Engineering Journal    2012, 15 (3): 46-51.   Abstract （6847）            Knowledge map    Save In the existing supplier selection methods, the solution is dependent on the opinions of experts. Thus, it needs to deal with the uncertain and fuzzy judgments made by experts. To solve this problem, based on uncertain linguistic information, a logistic service supplier selection method is put forward in this paper. By this method, uncertain linguistic variables are used to represent experts evaluation information such that the decision information can be preserved. With the uncertain linguistic variables, an attribute weighted optimization model of logistics service quality evaluation is developed. This model is solved by using Lagrange function such that the weights of attributes are determined. Then, by using the uncertain linguistic weighted geometric(ULWG) operator，the expert judgment information is collected such that we can order the candidate suppliers according to the objectives. A case study from a corporation is presented to show the application and the effectiveness of the proposed method. Reference | Related Articles | Metrics

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Cost Optimization in Three-echelon Supply Chain: Research and Application of Simulation-based Optimization Wang Hong-sen， Jia Su-ling， Yan Zhi-hua Industrial Engineering Journal    2015, 18 (2): 51-58.   Abstract （5950）            Knowledge map    Save A supply chain system is a non-linear and complex system. In order to optimize the total cost of a supply chain to enhance overall competitiveness, a simulationbased optimization approach was raised. Firstly, the System Dynamics model of a three-echelon collaborative supply chain was built. In order to minimize the total cost, enterprises in this supply chain needed to solve some decision variables. Secondly, the processes about converting the system dynamics model to a Matlab program model were minutely shown. Some groups of stochastic parameters were used to verify the converting processes. Finally, an appropriate Genetic Algorithm was applied to obtain some satisfactory solutions. The results show that this simulationbased optimization approach could not only display the dynamic characteristics of a supply chain, but also solve the problem fast with a high accuracy. It could effectively solve single-objective or multi-objective programming problems in supply chains. A system dynamics model has a relatively fixed structure and does not adapt to a heterogeneous interactive environment. This approach supplements a system dynamics model. The converted Matlab program model could be deeply simulated and studied. Objective functions and constraints could be flexibly defined. Dynamic changing processes of the system could be minutely analyzed and interactive interfaces to other applications also provided. Reference | Related Articles | Metrics

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Review of Control Optimization for Automated Storage and Retrieval Systems Yang Peng, Miao Li-xin Industrial Engineering Journal    2011, 14 (1): 123-127.   Abstract （4994）            Knowledge map    Save  Control optimization is the most significant issue in improving system performance.This paper compares the characteristics of different storage and retrieval policies in production and distribution environment.It shows that the key issue in control optimization for AS/RS in the production environment is the realtime performance of retrieving items,while that in the distribution environment is the overall balance performance of storing and retrieving items.Then,a comprehensive review of the state of the art in operating AS/RS is made for the crucial issues such as storage location assignment,dwellpoint location,request sequencing,and order batching.The future research directions are pointed out. Reference | Related Articles | Metrics

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Price Coordination of Closed-Loop Supply Chain Involving Third-Party Recycling Zhang Ke-yong1,2, Zhou Guo-hua1 Industrial Engineering Journal    2011, 14 (1): 28-32.   Abstract （4986）            Knowledge map    Save Based on the game theory,the differential price coordination is addressed in this paper for a closed-loop supply chain with third-party collection of used products.First,the decentralized and centralized differential pricing models are established.With them,the optimal pricing strategy and the optimal profit for the members in a closed-loop supply chain are analyzed.Then,it is found that efficiency is lost in the decentralized closed-loop supply chain.Finally，it puts forward a profitsharing coordination contract to coordinate the closedloop supply chain,which makes the profit of the decentralized closed-loop supply chain equal to that of the integrated closed-loop supply chain. Reference | Related Articles | Metrics

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Multi-objective Fresh Agricultural Product Distribution Path Optimization Based on Improved Genetic Algorithm Cao Qian1, Shao Jü-ping1, Sun Yan-an2 Industrial Engineering Journal    2015, 18 (1): 71-77.   Abstract （4972）            Knowledge map    Save To improve the efficiency of fresh agricultural product logistics distribution, a general three-layer fresh agricultural products distribution network is proposed, and a multi-objective mathematical model with the distribution cost minimum and customer satisfaction maximum established. Penalty function is introduced to deal with constraints and GA put forward to solve this question, according to the Pareto solution level and the level of congestion, sorting the same level of different individuals before choosing operation. Then the elite reserved strategy and maximum preserved crossover operation are used to obtain the Pareto optimal solutions. To verify the performance of algorithm, firstly, it is compared with the results of the standard genetic algorithm. At the same time, it sets different parameters and the result error is reduced. The results show that the established model and algorithm are effective and can provide guidance for practical application. Reference | Related Articles | Metrics

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ShortTerm Scheduling of Crude Oil Operations and Its Complexity Bai Li-ping, Wu Nai-qi Industrial Engineering Journal    2011, 14 (1): 67-71.   Abstract （4925）            Knowledge map    Save  This paper focuses on the tractability of shortterm scheduling for crude oil operations.With the help of control theory,a model of shortterm scheduling is developed.Then the complexity of pipeline scheduling is discussed.It concludes that the shortterm scheduling problem of crude oil operations is NPhard,which implies that it is intractable and further research is required. Reference | Related Articles | Metrics

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Capacity Reserve Strategy of Emergency Materials- Based on Evolutionary Game Luo Jing, Li Cong-dong Industrial Engineering Journal    2015, 18 (2): 15-19.   Abstract （4897）            Knowledge map    Save With the target of maximizing time efficiency and minimizing disaster loss, emergency supplies focus on the cooperation of emergency capacity reserve between government and enterprise. Under three different conditions (without any measures, punishment, punishment and subsidies in parallel), an evolutionary game analysis is conducted in terms of emergency productivity reserve between the government and the enterprises. Analysis shows that under certain conditions, the government′s inspection cost, regular or irregular, government′s subsidies and punishment, are the key factors that influence the cooperation of both sides. And through a numerical example to validate the conclusion, the emergency productivity reserve strategy is analyzed. Reference | Related Articles | Metrics

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Game Theory Analysis of Innovation and Imitation in an Enterprise Cluster Yang Jian1, Wang Shu-en2 Industrial Engineering Journal    2011, 14 (1): 47-52.   Abstract （4894）            Knowledge map    Save   An enterprise needs to make a decision between two strategies:innovation or imitation.To solve this problem,a game theory model is built for an enterprise cluster for this problem.With this model,profits for different time periods are calculated for different strategies respectively.Then,a solution is obtained under a hybrid strategy and a guideline is presented for this decision making problem. Reference | Related Articles | Metrics

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Product-Oriented Collaborative Innovation of Hi-Technology Enterprise Clusters Ou Guang-jun1， Liu Ye-biao2 Industrial Engineering Journal    2011, 14 (1): 33-37.   Abstract （4828）            Knowledge map    Save   Collaborative innovation is the key issue for an enterprise cluster to improve its innovation and enhance its competitiveness in the global industrial chain.Using the idea of systematic synergy,a network framework of knowledge interaction for value creation is proposed in this paper.With the framework,collaborative innovation is realized by using modular operation mode.The main advantages are integrating various factors,improving efficiency,and speeding the whole process. Reference | Related Articles | Metrics

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eM-PlantBased Modeling and Simulation of Assembly Lines of Plastic Products Huo Jian-en,Peng Chong-jia Industrial Engineering Journal    2011, 14 (1): 118-122.   Abstract （4824）            Knowledge map    Save Due to the high work in process (WIP) level for production processes of plastic products,lot sizing problem is discussed in this paper.By analyzing the production processes,a simulation model is built based on the eMPlant platform.By simulation with this model,it shows that the WIP can be significantly reduced and meanwhile productivity can be increased if an appropriate lot size at different stage of the production process is chosen.Moreover,guideline is presented for how lot size can be determined. Reference | Related Articles | Metrics

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A Research on Evolutionary Game of Runway Incursion Risks Based on System Dynamics Zhao Xian-li, Luo Fan Industrial Engineering Journal    2015, 18 (2): 73-79.   Abstract （4812）            Knowledge map    Save In order to investigate game strategies between airports, airlines and industrial government for controlling runway incursion risks, a tripartite evolutionary game model is built based on payoff function matrix and the evolutionary game process simulated based on system dynamics. Two kinds of simulation environments are set up, including probability mutation and dynamic regulation. The model has passed tests and sensitivity analysis. Simulation results show that the game model has effective solutions, but there is no evolutionary equilibrium. There is evolutionary equilibrium under the condition of dynamic regulation strategy. The conclusion is that economic sanction is imposed as the function of runway incursion risks severity. Industrial government implements dynamic regulation strategy which pushes airports and airlines to intensify the control of runway incursion risks.  Reference | Related Articles | Metrics

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A ClusteringBased Particle Swarm Optimization Algorithm for Scheduling in MES Liao Bo Industrial Engineering Journal    2011, 14 (1): 53-57.   Abstract （4781）            Knowledge map    Save A new particle swarm optimization (PSO) algorithm is proposed for scheduling in manufacturing execution systems (MES).By taking scheduling function as a standalone module in an MES, the proposed algorithm uses clustering technique to improve the particles’ search space.Simulation results demonstrate that it is more efficient than the traditional scheduling algorithms. Reference | Related Articles | Metrics

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A Simulation Study on Facility Layout of Production System Xu Xue-jun, Lu De-mou, Zha Jing, Li Wen-jiao Industrial Engineering Journal    2011, 14 (1): 16-22.   Abstract （4779）            Knowledge map    Save Comparison analysis is made for the existing three types of production line layout: Lline,Uline,and the cellular manufacturing.Based on the analysis,a simulation study on a displayer manufacturing process in an electronic company is conducted.Results show that for single product with small batch Uline is better,while for single product with large batch,or the number of products is small but the quantity is large,or the number of products is large but the quantity is small,cellular manufacturing performs the best. Reference | Related Articles | Metrics

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Application of Systematic Layout Planning to Production Shop Design: A Case Study Xue Shun, Xu Zhi-pei, Hong Hao, Cui Ping, Liu Xiao-hui Industrial Engineering Journal    2011, 14 (4): 135-138.   Abstract （4763）            Knowledge map    Save As a case study for building a production shop in a company, the systematic layout planning (SLP) method is used to design the shop. By analyzing both the material and non-material flow with necessary constraints and interactions taken into account, three candidate facility layout solutions are proposed. Then, the best one is selected by using analytic hierarchy process technique. It is shown that the result is satisfactory. Reference | Related Articles | Metrics

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An EOQ Model for Items with Weibull Distribution Deterioration Rate Wang Dao-ping1, Yu Jun-di1, Li Xiang-yang2 Industrial Engineering Journal    2011, 14 (1): 72-76.   Abstract （4748）            Knowledge map    Save For deterioration items,the deterioration rate can be described by Weibull distribution.Basing on this assumption,a new economic order quantity (EOQ) model with timevarying demands and purchase prices is developed to analyze the effect of deteriorating items on inventory management.With this model,numerical analysis and parameter sensitivity analysis are done.It shows that an optimal solution for this problem exists and different parameters have different effect on the optimal inventory control policy. Reference | Related Articles | Metrics

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An Evolutionary Game Behavior Analysis among the Owner, the Contractor and the Public in Public Cultural Facilities Construction Fan Xing-ju，Li Hai-tao，Chen Tong Industrial Engineering Journal    2015, 18 (2): 80-86.   Abstract （4699）            Knowledge map    Save In order to overcome the interfacial microstructure contradiction caused by participation and interests discrepancy in the public cultural facilities construction and management and improve public cultural projects, a replicated dynamic method in evolutionary game theory is used to research the game relationship among the owner, the contractor and the public in public cultural facilities construction of our country. By building an asymmetric tripartite game payoff matrix and analyzing replication dynamic equation, stable strategies under different conditions are derived. And three dimensional stereograms are given to show the influence that the variation of different parameters have on the strategic evolutionary trend and stability. Results show that punishment strength on speculation, supervision cost and positive social incentive from the public affect the owner′s strategic choice; that anticipated punishment on speculation, and the public evaluation′s influence on the income affect the contractor′s strategic choice; and that whether the public cultural facilities supply meets the demand of the public affects the public′s strategic choice. In the end, strategic evolutionary trend stereograms under different conditions of three parties are combined to discuss the whole system′s game equilibrium states and find four groups of evolutionary stable strategies under different initial states of parameters. Reference | Related Articles | Metrics

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WinWin Analysis at the Upstream-Segment under VMI with Stochastic Demand Li Lei1, Yang Huai-zhen2 Industrial Engineering Journal    2011, 14 (1): 11-15.   Abstract （4650）            Knowledge map    Save The upstreamsegment under vendor managed inventory (VMI) mode is considered in this paper, where VMI is applied between accessory suppliers and a final product manufacturer.With stochastic demands considered, mathematical models are developed for both of the suppliers and the manufacturer to benefit from VMI.To get more profits, the former can increase product prices while the latter can reduce inventory costs.Simulation experiments demonstrate that the winwin result is able to be achieved. Reference | Related Articles | Metrics