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30 April 2015, Volume 18 Issue 2 Previous Issue    Next Issue

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An Optimization Model and Algorithms for Order  Acceptance Problem with Overtime Strategy Watcharee Wattanapornprom1,2, Li Tieke1,2, Wang Bailin1,2 2015, 18 (2):  1-08.  Abstract ( 3813 )   Save  The manufacturer management often adopts the strategy of overtime for the increasing demands. Overtime factor is added into the order acceptance problem, and overall balancing between over and under capacity utilization in different production line are considered as well. An optimization model is presented to maximize total profit and balance production capacity. Based on the characteristics of the model, two of estimation of distribution algorithms (EDAs), histogram-based sampling algorithm and node-based coincidence algorithm, are proposed. The results show that node-based coincidence algorithm is a potential algorithm for solving the problem. Moreover, the capacity balancing objective can effectively balance the capacity of production line and increase the total profit at the same time. References | Related Articles | Metrics

practice & application

A Research on Worker Assignment Model and Its Algorithm Based on the “Virtual Process Database” Operating System Cheng Shuo，Zhang Bi-xi，Cao Ming，Hu Sheng 2015, 18 (2):  9-14.  Abstract ( 3982 )   Save  In order to obtain a reasonable worker-assignment plan for small and medium-sized manufacturing enterprises under “virtual process database” (VPDs) operating system, and to minimize production cost, a worker-assignment model is constructed, through using the improved genetic algorithm of elitism preservation, optimizing the workers′ assignment and scheduling in VPDs. Repeated simulation experiments and comparison show that the improved genetic algorithm has the faster speed of convergence, which indicates that it is effective.  References | Related Articles | Metrics

articles

Capacity Reserve Strategy of Emergency Materials- Based on Evolutionary Game Luo Jing, Li Cong-dong 2015, 18 (2):  15-19.  Abstract ( 4897 )   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. References | Related Articles | Metrics

Application of Support Vector Machines Based on Principal Component-Analysis in Gasoline and Diesel Demand Prediction Yin Lv-jiang1，2， Yang Li-jun1， He Bo1 2015, 18 (2):  20-27.  Abstract ( 3924 )   Save Firstly, a comprehensive analysis of the key factors affecting consumer demand for gasoline and diesel is made for selfrelevance, complexity and data volume, etc. A principal component analysis is made to reduce the dimension of the sample data, and a new set of samples is formed. Then, by improving the support vector machine model and introducing a dynamic factor in the timing of its foundation, and the demand for gasoline and diesel last year historical data into the model as the timing of the feedback factor, thus forming a new dynamic feedback fitting model, an appropriate demand forecasting model is established. Finally, a case study is made on forecasting demand for gasoline and diesel in the 1996~2012, and the proposed method of predicting and gray GM (1,1) model, and BP neural network model are analyzed. The results show that the improved prediction method relative to the GM support vector machine principal component analysis (1,1) model of the prediction errors are respectively 72.7%, 74.86% lower, and that comparing with the BP neural network, the prediction errors are reduced on average by 81.3%,81.66%. Results show that the principal component analysis using improved support vector machine method is superior to existing methods, which proves the effectiveness and superiority of this method. References | Related Articles | Metrics

Study on the Logistical Forecasting Method based on Rough Set Theory and Support Vector Machine Zhong Ying-hong， Huang Xin 2015, 18 (2):  28-33.  Abstract ( 3742 )   Save Proper forecasting models are of strategic significance for upgrading and optimizing logistical industry. Common forecasting methods include increasing rate method, moving average method, time series method, etc. In real applications, many forecasting methods are not so accurate as to ensure validity because logistical data have such features as multi attributes (including redundant attributes), non-linear, small sample. A method is proposed that eliminates redundant attributes for reduction based on discernibility matrix algorithm with rough set theory improving the SVM model and optimizing the input parameters by genetic algorithm. Detailed steps of the forecasting method are provided and validity examined via cargo data of Guangdong province. References | Related Articles | Metrics

The Remanufactured Product Pricing Strategies Based on Heterogeneous Consumers under the Condition of Competition Wu Ying1,2, Xiong Zhong-kai1 2015, 18 (2):  34-40.  Abstract ( 3639 )   Save Aiming at the pricing of the original equipment manufacturer (OEM) and the independent operator (IO) on remanufactured products in competitive environment, a twoperiod model was developed considering consumers′ heterogeneity of the demand for new and remanufactured products. The optimal collection rate and optimal price were obtained and compared under the conditions that the OEM selling new products and remanufactured products with same price or different prices. Finally the effect of parameters on the profits of the OEM and the IO was discussed by numerical examples. The conclusions state that if the OEM sets uniform price for all products，the price of remanufactured products is higher and the quantity greater and the OEM and the IO make more profit. The results mean that even with the competition of the IO, the OEM setting uniform price for all products is better than setting different prices for new and remanufactured products. References | Related Articles | Metrics

Optimal Marketing Strategy for a Manufacturer Considering Product Leasing and Lost Sales Wu Yan-liang, Zhang Ren-qian, Fang Wei-guo 2015, 18 (2):  41-50.  Abstract ( 3808 )   Save 〗Product leasing service was studied considering the servitization conducted by many manufacturing enterprises aiming at identifying the optimal selling period and the best proportion between two kinds of product, i.e., the sellingproduct and the leasingproduct. Furthermore, a model maximizing the total profit considering the inventory holding cost, backorder cost, product depreciation expenses, etc is formulated. During the derivation of the best solution, some important properties can be obtained: there always exists the optimal proportion between the amount of sellingproduct and leasingproduct given the selling period in order to maximize the total profit, and vice versa. Results of numerical experiments and parameter sensitivity analysis shed light on management: manufacturer′s optical marketing strategies are affected by demand rate of leasingproduct and price of sellingproduct. And also, manufacturer should keep a reasonable amount of leasing product when panning to carry out the leasing service. References | Related Articles | Metrics

Cost Optimization in Three-echelon Supply Chain: Research and Application of Simulation-based Optimization Wang Hong-sen， Jia Su-ling， Yan Zhi-hua 2015, 18 (2):  51-58.  Abstract ( 5950 )   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. References | Related Articles | Metrics

A Study oF the Equilibrium of Fresh Agricultural Product Supply Chain Network with Supply Loss Ratio Xu Qiang, Zeng Mei-hua, Wang Ying-ming 2015, 18 (2):  59-65.  Abstract ( 3767 )   Save The impact of supply loss ratio on the dynamic supply chain networks of fresh agricultural products is addressed. By means of the variational inequality with the supply loss ratio and the price resilience in it, a model of supply chain network equilibrium is constructed. Cases of various supply loss ratios and various price resilience are analyzed, by which the impact of supply loss ratio and price resilience on the supply chain network equilibrium are found out. With the increase of supply loss ratio and price resilience, the total profit of all the parties will decrease. It is implied that producers and retailers should minimize the supply loss ratio and price resilience to maximize the total profit. References | Related Articles | Metrics

Advance Selling in the Presence of Strategic Consumers and Network Externality Lin Zhi-bing, Zhou Zheng-yong, Wu Shao-xiong 2015, 18 (2):  66-72.  Abstract ( 3864 )   Save To analyze the effects of advance selling discount and advance selling quantity, the demand function was found based on the customers′ strategic behavior and the network externality. The optimal advance selling quantity and advance selling condition were determined by a comparative static analysis. And the results show that the optimal advance selling quantity was affected by the market demand. Furthermore, the numerical analysis was used for describing the effects of the network externality on retailer′s advance selling discount, advance selling condition and advance selling quantity. The results show that, while the factor of network externality was higher than 0.3, the advance selling strategy benefited the retailer, and while the factor was higher than 0.6, the advance selling discount would decrease and the factor and the profit of retailer would increase. All the conclusions can be -reference for the retailer′ selling strategies. References | Related Articles | Metrics

A Research on Evolutionary Game of Runway Incursion Risks Based on System Dynamics Zhao Xian-li, Luo Fan 2015, 18 (2):  73-79.  Abstract ( 4812 )   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.  References | Related Articles | Metrics

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 2015, 18 (2):  80-86.  Abstract ( 4699 )   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. References | Related Articles | Metrics

Coordination Contract of Seller′s Consumption Credit Considering Demand Mutual Shifting Jing You-guo, Xu Yang, Yang Lu 2015, 18 (2):  87-93.  Abstract ( 3742 )   Save To study the rate pricing strategy and coordination mechanism of a single retailer and bank in the seller′s consumption credit on the condition that mutual shifts exist between credit consumption demand and cash consumption demand, Stackelberg game and revenue sharing contract research method are used, and decentralized decisionmaking model, centralized decisionmaking model and revenue sharing contract model are established. Conclusions are drawn: as demand loss coefficient rises, the bank′s rate and the retailer′s fee subsidy rise as well, while the fee rate paid by consumers falls; when retailer shares all the consumption credit revenue with the bank, Revenue sharing contract can achieve coordination of credit consumption system, but to achieve the perfect winwin coordination of the system, the bank needs to share part of the profit further with retailer. The simulation result shows that compared with decentralized decisionmaking and on the revenue sharing contract, the retailer′s profit reduces by 254.475 4, while the bank′s profit increases by 508.950 9. As the overall profit of the system increases by 254.475 4, the system benefits improve by 25.56%. References | Related Articles | Metrics

A Duopolistic Differential Game Analysis of Firm′s R&D Based on Technology Spillover and Absorptive Capacity Zhi Jing-han, Zhang Guang-yu 2015, 18 (2):  94-99.  Abstract ( 3715 )   Save In order to gain the best R&D competitive strategy of competitive corporations, the amount of investment in R&D, the instantaneous coordination of production and the game process of competition are analyzed, with the factors of the technology spillovers and absorptive capacity considered. By expanding the traditional AJ models to dynamic differential game models, rich dynamic connotation implies that the new model is beneficial to exploring the competing mechanism of duopoly R&D. Based on the methodology of differential games, combined with Pontryagin maximum principle used in optimal control theory, sufficiency and necessity for the equilibrium solution are given; simultaneously, by a numerical simulation analysis of equilibrium solution, the R&D competition strategy is found to be affected by technology spillover and absorptive capacity. This research provides options for achieving path for competing companies to achieve their own maximum benefit or cost minimization by choosing different R&D competing strategies. References | Related Articles | Metrics

Innovation Efficiency of Guangdong Innovative Industrial Clusters Based on DEA-SBM and Malmquist Tang Yong, Zhou Xia, Zhang Xiao 2015, 18 (2):  100-107.  Abstract ( 3957 )   Save With the characteristics of innovative industrial clusters summarized, the rich collaborative innovation is proposed as an effective way to promote business innovation in such clusters. As an excellent vehicle for collaborative innovation, the innovation platform can effectively promote business innovation. A superefficient DEASBM (data envelopment analysis and slackbased measure)model with Malmquist index is applied in the empirical analysis. In the innovation efficiency measurement of Guangdong innovative industrial clusters, innovative platform is added to the input variables and output variables are the number of patent applications. The results show that the whole innovation efficiency is high but that there are some differences between the innovation efficiency of different innovative industrial clusters. Innovative platform is an important factor in measuring innovation efficiency. There are large differences between clusters in innovative platform, and the construction of innovative platform is lagging behind in some areas. Five policy recommendations are made based on this conclusion. References | Related Articles | Metrics

A Study of Total Factor Productivity in Jiangxi Logistics  Industry Based on DEA-Malmquist Gan Wei-hua1, Xu Ying1, Huang Wen2, Ding Ru1, He De-shun2 2015, 18 (2):  108-114.  Abstract ( 3753 )   Save Logistics industry is the basic industry of the nation, and its overall operation efficiency is attracting more attention from the governments at all levels recently. Total factor productivity (TFP) is taken as the research object. First, the measurement model of TFP of the logistics industry in Jiangxi province is determined and the evaluation index system selected. Secondly, the logistics TFP of 11 cities in Jiangxi province from 2003 to 2011 is statically analyzed by applying DEA method. Results show that most of the cities are DEA-inefficient. Then, by using software DEAP2.1, Malmquist index, technical efficiency and technology progress rate of 11 cities and four economic zones in Jiangxi province from 2003 to 2011 are dynamically analyzed. Results indicate that technological progress is the key to Malmquist index growth. These results can provide reference for Jiangxi province in formulating logistics industry policies and improving the efficiency of the overall logistics operation. References | Related Articles | Metrics

practice & application

Application of Motion Analysis in Civil Aviation Check-in Kong Xiang-fen， Wang Xiao-bei， Lu Jia-kai 2015, 18 (2):  115-120.  Abstract ( 3601 )   Save Under the premise of increasing no capital, sites, staff, even no manual work on employees and with the check-in staff action as the research object, the whole and part of the check-in process are analyzed. The action research method of the industrial engineering analysis is applied, assisted with IEMS video motion analysis software and with the economic principle of motion as the guiding principle, to remove invalid move and improve the effective dynamic element, simplify check-in staff movement and get effective action process. As a result, the efficiency of the check-in is improved and the passenger satisfaction further improved. References | Related Articles | Metrics

Container Shipping Network Design Research Considering Gate Port Wen Xin, Ding Yi, Lin Guo-long 2015, 18 (2):  121-126.  Abstract ( 3663 )   Save  Considering that inland origin-destination (OD) pairs involve a change in transport mode from inland transportation to maritime shipping, a network model of container liner transport is built to optimize the shipping line network and reduce the cost. Logit model and integer liner programming are utilized to convert inland OD demand to port-to-port demand and build a network evaluation of container liner transport. To minimize the total cost, the model needs to satisfy the constraints of shipping demand, transit time at loading port or discharging port and arranging rational capacity, and IOLG CPLEX optimization software is used to solve the computational model. The model is then used to redesign a company′s original network. The optimization result shows that, on the basis of the total volume approximately staying the same, the fleet size reduces from 81 to 77 and ship number from 289 to 269, which indicates that this model can effectively lower operating cost of container shipping and has great practical meaning. References | Related Articles | Metrics

Feeding Buffer Sizing Approach Based on Independent Float Wang Yi1,2，Cui Nan-fang1 2015, 18 (2):  127-132.  Abstract ( 3689 )   Save Inserting feeding buffer in non-critical chain may lead to new problems, such as new resource conflict, non-critical chain overflow, etc. These problems further complicate the resource constrained project scheduling. In order to optimize the sizing of feeding buffer, based on root square error method （RSEM）, independent float is applied to solve the feeding buffer setting in critical chain project management theory. Using independent float wish is the hidden safety time in project network, the activities on non-critical chain are differentiated. Aiming at the non-critical activities which have independent float, and changing the latest time execution strategy proposed by Goldratt, the new feeding buffer sizing approach is built. At the end, experimentation of different plans using various feeding buffer sizing methods has been done by means of simulation for contrastive analysis. Results show that the new approach reduces the problems caused by the feeding buffer inserting and improves the due date and execution performance of project. References | Related Articles | Metrics

Multi-stage Production Plan Modeling and Management Information System Design of Electric Resistant Welding Steel Pipe Enterprises Zhu Xing-guang1，Yang Gong-zhen2 2015, 18 (2):  133-141.  Abstract ( 3734 )   Save The production plan, as the start and the proof of production management, aims to avoid manual production planning causing the waste of resources and to achieve the optimal production planning strategy. Based on Electric Resistance Welding (ERW) steel pipe enterprises′ production characteristics, the production plan is optimized. In mathematical modeling, a mathematical model of earliness/tardiness punishment for multistage production plan was established with the limitation of the due window, inventory, production capacity, maintenance shutdown date etc., aiming to optimize the production plan and to minimize the tardiness punishment. The mathematical model was solved and optimized through genetic algorithm. In developing the management information system, the B/S model information system with Visual Studio 2010 on the basis of the database was created. With the linkage of MATLAB and B/S system through the COM port of MATLAB, the algorithm was perfectly embedded with a user friendly interface and in turn realized the calculation and expression of the production plan. The results show that applied in a specific enterprise, the model and management information system realized the management of the ERW steel pipes enterprises′ orders, inventory and production plan data management, achieving the expected goal, with a good academic value and practical significance. References | Related Articles | Metrics

A Study of SMT Workshop Manufacturing Execution System Based on Smart Objects Zhang Hao，Yu Feng-lian 2015, 18 (2):  142-150.  Abstract ( 3606 )   Save A smart object based manufacturing execution system for SMT workshop is proposed to realize realtime and fine management. By introducing radio frequency identification（RFID） technology and smart objects, a MES framework based on intelligent objects is given for SMT industry. Based on the introduction of the systematic deployment of RFID in the workshop, the data collection mode of the SMT shop floor is analyzed and the operation process of mistake-proofing while loading materials is described. Finally, an example of an electronic enterprise in Guangzhou illustrates the feasibility and effectiveness of the system proposed. References | Related Articles | Metrics

A Reliability Analysis of IBOPs in Nitrogen Drilling of Tarim Oilfield Wang Kai, Zhang Xiao-dong 2015, 18 (2):  151-159.  Abstract ( 3818 )   Save Applying both FMECA (Failure Mode Effects and Criticality Analysis) and FTA (Fault Tree Analysis) to demonstrate the feasibility of the proposed combination scheme, the system level and device level of the failure mode and the degree of hazard for the IBOP(internal blowout preventer) combination scheme of nitrogen drilling is analyzed. Then, the common failure modes of each device are found out and the improvement measures put forward. Lastly, the criticality of the failure modes and that of each IBOP group in the system are quantitatively calculated so as to determine the top event of FTA. Through the FTA, all the bottom events and the minimal cut sets which lead to the main failure of IBOP group are found out, and then the structure importance of the bottom events and the influence of the bottom events combinations determined. The prior improvement measures are firstly taken to deal with the important bottom events and combinations of the basic events which have a heavy influence on the system′s failure. Then the reliability of the weakest parts is calculated, which can derive more focus on the design improvements and fault monitoring of the weakest parts. With the researches on the reliability of the IBOP groups of nitrogen drilling, the main failure modes which lead to the system′s failure are obtained, which include the cone seal failure of arrowtype check valve, the reset spring failure of flap valve, the crushed valve ball of input type check valve, the fractured buckle of the bypass valve and the locked rotary ball of plug valve. Then all reasons that lead to the aforesaid five failure modes are analyzed and the corresponding improvement put forward. References | Related Articles | Metrics

A Research on Knowledge Management of the Construction Contract Dispute Yan Wen-zhou, Ma Yu-jie 2015, 18 (2):  160-164.  Abstract ( 3579 )   Save Based on the project construction contract causing controversy and controversial case decomposition, a project construction contract dispute case model framework of knowledge management is proposed and the architecture analyzed. By introducing the theory of meta-knowledge and matrix model of knowledge representation into contract dispute knowledge management, a similarity match is used to realize case retrieval. Based on the proposed architecture and key technologies, the contractor enterprise can realize the knowledge management of the construction contract dispute case, so as to improve the utilization of knowledge resources and reduce the engineering cost. References | Related Articles | Metrics