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    31 December 2019, Volume 22 Issue 6 Previous Issue    Next Issue
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    A Research on the Construction of Hybrid Hub-and-spoke Logistics Network of Urban-rural Integration
    YAO Guanxin, ZHU Chenjun, DAI Panqian
    2019, 22 (6):  1-7.  doi: 10.3969/j.issn.1007-7375.2019.06.001
    Abstract ( 1056 )   HTML ( 82 )   PDF (734KB) ( 5605 )   Save
    In order to reduce the cost of urban and rural logistics and improve the efficiency of urban and rural logistics, a cost-oriented planning model of the hybrid hub-and-spoke urban-rural integrated logistics network was constructed which meets the logistics needs of agricultural products and non-agricultural products and allows direct transportation. A tabu search algorithm was designed to solve the model. For verifying the effectiveness of the model and algorithm, a network simulation analysis including 6 nodes and sensitivity analysis of shipping discount coefficient α, β and loss coefficient θ1 and θ2 was carried out. Simulation results show that when node 4 and node 6 are selected as hub nodes and node 2 and node 3 establish direct transport, the optimal total cost of the network is 538 114. As α and β increase from 0 to 1, and as θ1 and θ 2 increase from 0 to 0.5, the corresponding total network cost increases by 4.1%, 3.7%, 4.2% and 0.8% respectively. Conclusion:the construction of the hybrid hub-and-spoke logistics network of urban-rural integration can effectively reduce logistics costs, improve efficiency, and provide a reference for practical application.
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    Impact of Consumer Behavior on New Product Diffusion under Duopoly Market: A Simulation Approach
    LI Feng, YU Han
    2019, 22 (6):  8-16,26.  doi: 10.3969/j.issn.1007-7375.2019.06.002
    Abstract ( 1157 )   HTML ( 36 )   PDF (1079KB) ( 5418 )   Save
    Based on the Bass model which is the most representative of innovative product diffusion, an improved model of product sales in a duopoly competitive market environment was constructed. The model considered the internal influence between competitive products in the diffusion process and the "hesitant" behavior of some consumers in making purchase decisions. A system dynamics modeling was used to simulate the product demand under different market competitive environments. The simulation proved that in the competitive environment of duopoly products, the "hesitant" behavior of consumers has a negative impact on the market demand of products. Moreover, the gap in the competitive status of the enterprise will reduce the demand for products of competitive disadvantages. Therefore, enterprises at a competitive disadvantage should strengthen the word-of-mouth influence of their products, such as improving the user experience and encouraging the active feedback from users to make up for the shortcomings in the competition.
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    Green Supply Chain Game Models and Contract Coordination with Government Incentives
    WANG Xinlin, HU Shengqiang, LIU Xiaobin
    2019, 22 (6):  17-26.  doi: 10.3969/j.issn.1007-7375.2019.06.003
    Abstract ( 1383 )   HTML ( 40 )   PDF (820KB) ( 5550 )   Save
    For the green supply chain consisting of a manufacturer and a retailer while consumers are sensitive to the price and greenness of green products, an investigation is conducted into how the government's incentive policy affects the manufacturer's decision-making about green products' greenness and supply chain coordination mechanism. A vertical game model under centralized decision-making and manufacturer-led Stackelberg game model under decentralized decision-making is established to get the optimal price, greenness and profits of every organization. Then, cost-sharing or revenue sharing contracts are proposed to coordinate the supply chain. The above conclusions are verified through a numerical analysis and the parameters sensitivity analysis is carried out. The study indicates that:compared with decentralized decision-making, under centralized decision, the greater the green degree is, the lower the retail price is and the higher the overall profits of the supply chain are; and a single cost-sharing contract cannot achieve supply chain coordination; and for the revenue sharing contracts combined with cost sharing, the ratio of revenue sharing is negatively related to the ratio of cost sharing; the profits of each member are positively correlated with the adjustment factors of government subsidies and the coefficient of greenness sensitivity but negatively correlated with coefficients of the price sensitivity and the green investment.
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    The Pricing Policies for Two-sided Service Platform Considering Strong Intra-group Externalities in the Providers
    DING Xuefeng, CHEN Qiancheng, GAO Pan
    2019, 22 (6):  27-33.  doi: 10.3969/j.issn.1007-7375.2019.06.004
    Abstract ( 1113 )   HTML ( 25 )   PDF (806KB) ( 5574 )   Save
    Aiming at the intra-group and inter-group externalities between the service consumers and providers that the two-sided platform links, and focusing on the optimal pricing policies of platform with the service providers having strong intra-group externalities, the impact on user participation and profit structure are studied. The research shows that the optimal pricing policies of the platform for consumers and service providers include charging fees, being free of fees and giving subsidies, which can make the total profit of the platform positive, that the internal externalities have a profit-loss impact on the profit of the two-sided platform, and that the size relationship between the intra-group externalities and the quantitative relationship between all externalities together determine the contribution of the service supply and demand sides to the platform profit.
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    A Research on Task Scheduling and Path Planning of Mobile Robot in Warehouse Logistics Based on Improved A* algorithm
    WANG Xiuhong, LIU Xuehao, WANG Yongcheng
    2019, 22 (6):  34-39.  doi: 10.3969/j.issn.1007-7375.2019.06.005
    Abstract ( 1178 )   HTML ( 46 )   PDF (669KB) ( 6204 )   Save
    In executing the order task of the mobile robot in the warehouse logistics, the dispatching system is difficult to perform task assignment quickly and accurately, and the handling route is not the shortest optimal route. According to the mobile robot's movement mode and the requirement of order task, a reconfigurable warehouse space model and a grid map model are constructed, solving the shortest completion time allocation problem of order task by establishing a mathematical model, and improving the insufficiency of three common distance algorithms in traditional A* algorithm, and a complex diagonal distance algorithm is proposed for path planning simulation. The simulation results show that the above method achieves the task assignment with the shortest task completion time, which reduces the number of path planning search nodes by 30% and the path length by 20%.
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    Modeling and Optimization of Picking Location Allocation in Automatic Picking System Based on Improved Genetic Algorithm
    CHEN Zhixin, DONG Ruixue, HAO Yunan
    2019, 22 (6):  40-44,56.  doi: 10.3969/j.issn.1007-7375.2019.06.006
    Abstract ( 1031 )   HTML ( 27 )   PDF (498KB) ( 5562 )   Save
    An optimization model of picking location allocation is established for an automatic picking system. The picking time model is used as the fitness function, and the genetic algorithm is improved by adding a penalty function to judge the Heming distance. The simulation results show that the total picking time is obviously reduced by 26.25% after the optimization of the picking location. The results show that the distribution of goods picking position has a great influence on the efficiency of automatic picking system. In order to reduce the total picking time and improve the efficiency of automatic picking system, not only the location distribution of individual goods, but also the overall direction should be considered. This research has strong practical significance and provides theoretical support for improving the efficiency of the automatic picking system in distribution centers.
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    Optimizing Delivery Reliability in Assembly Job Shop with Lot-Streaming
    ZENG Chuifei, LIU Jianjun, CHEN Qingxin, MAO Ning
    2019, 22 (6):  45-56.  doi: 10.3969/j.issn.1007-7375.2019.06.007
    Abstract ( 1096 )   HTML ( 24 )   PDF (920KB) ( 5565 )   Save
    An assembly job shop produces assembly products with multiple specifications and in small batches. Assembly products usually have diversified BOM (Bill of Material) structures, which are made up of customized parts, but products with the same specification still include a certain proportion of shared parts, which respectively have certain batch sizes. Lot splitting scheduling in an assembly job shop requires optimized batch partitions and subbatch sequencing for assembly parts. The high delivery reliability of customers is considered, and a mathematical model established for lot splitting-scheduling, and a hybrid algorithm based on genetic algorithm and priority dispatching rules proposed to solve the mathematical model. Finally, the effectiveness of the proposed hybrid algorithm is validated by a simulation experiment.
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    A User-based Personalized Recommendation Model for Gas Appliances
    YU Chunxia, LI Nannan
    2019, 22 (6):  57-66.  doi: 10.3969/j.issn.1007-7375.2019.06.008
    Abstract ( 929 )   HTML ( 18 )   PDF (522KB) ( 5791 )   Save
    With the development of e-business, more and more gas appliances are transacted in Internet. Personalized recommendation problem becomes more and more important for individual users with different preferences. The objective of this research is to propose a user-based personalized recommendation model for gas appliances. This recommendation model is based on collaborative filtering algorithm, which is mainly divided into two parts. The first part is to obtain similar users of target user and preferred products of the target user, according to the registration information of target users and the their historical preferences for products. The second part is to formulate the purchase preference evaluation criteria of target users and evaluate the performances of preferred products with respect to evaluation criteria. Finally, experiments are conducted to verify the feasibility and efficiency of the proposed recommendation model.
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    A Capacitated Vehicle Routing Problem with Split Deliveries by Backpack
    LU Juan, XIA Yangkun, ZOU Anquan, FU Zhuo, WANG Song, WEI Zhanguo, FU Ying
    2019, 22 (6):  67-73.  doi: 10.3969/j.issn.1007-7375.2019.06.009
    Abstract ( 1162 )   HTML ( 14 )   PDF (410KB) ( 5704 )   Save
    Taking the shortest total travel time as the optimization object, a model of single objective programming is constructed, which contains a series of constraints, such as single depot, single vehicle type, loading capacity limitation, split deliveries by backpack and so on. An adaptive tabu search algorithm (ATSA) is designed to solve the problem. The ATSA uses a series of optimization strategies to improve the search ability, such as an adaptive penalty mechanism and a multi-neighborhood structure, and designs corresponding neighborhood operators for both customer points and backpack, which can better adapt to the discrete splitting degree of customer demands. The validity of the proposed model and algorithm is demonstrated by the comparison of the test results with the literature.
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    A Study of the Omni-channel Operational Mode of Fresh Agricultural Products Supply Chain
    WANG Hong, SUN Yuling
    2019, 22 (6):  74-79,109.  doi: 10.3969/j.issn.1007-7375.2019.06.010
    Abstract ( 1201 )   HTML ( 38 )   PDF (995KB) ( 5691 )   Save
    Omni-channel retailing of fresh agricultural products supply chain in "Internet Plus" was analyzed to improve the efficiency of fresh agricultural products distribution and increase the income of the farmer. For "farmer-supermarket direct purchase" supply chain with an agricultural cooperative and a supermarket, the channel demand function was obtained based on customers' utility. The decisions and the profit of the cooperative, the supermarket and the system were analyzed in two operational modes which are self-sale E-commerce platform and cooperation sharing the income. Through a numerical analysis, the results show that the cooperative sells fresh agricultural products through the supermarket and the E-commerce platform. Meanwhile, the supermarket shares a percentage of cooperative's income on the platform. This channel model is optimal for the agricultural cooperative, the supermarket and the system of supply chain.
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    The Decision Characteristics of the Overconfident Retailer and the Adjustment Methods of the Rational Supplier in a Supply Chain
    ZHAO Wanmei, YE Chunming
    2019, 22 (6):  80-88.  doi: 10.3969/j.issn.1007-7375.2019.06.011
    Abstract ( 866 )   HTML ( 13 )   PDF (623KB) ( 5641 )   Save
    It is an instructive and helpful analysis to investigate the effects of overconfidence behaviors on members' decision making and profits in a supply chain. The retailers' overconfidence behavior in a typical two echelon supply chain is introduced based on the Newsvendor Model. It discusses the influence of the retailer's overconfidence intensity as well as the market environment variables on its ordering decisions and profits with the assumption that the distribution of market demands is random. It makes a comparative analysis of the retailer's rational profits, expected profits and ideal profits and draws a conclusion that the retailer's overconfidence behavior will lead to the increasing of its ideal profits and the decreasing of its expected profits. It also concludes that the rational supplier's profits will also be influenced by the retailer's overconfidence behavior but he could achieve both members' Pareto improvement by price adjusting under certain conditions. Some examples are given to validate these theoretical analyses and model deductions in the end.
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    Pricing Strategy of Crowdfunding Products with the Success Rate
    LYU Xiaohui, ZENG Xiaoyan
    2019, 22 (6):  89-95.  doi: 10.3969/j.issn.1007-7375.2019.06.012
    Abstract ( 869 )   HTML ( 23 )   PDF (715KB) ( 5676 )   Save
    As an important financing method for innovative products, product crowdfunding has received increasing attention. The product crowdfunding pricing strategy considering crowdfunding success rate is studied, constructing a two-stage pricing decision model in the crowdfunding phase and the formal sales phase, and obtaining the optimal pricing strategy for product crowdfunding. The main conclusion is that when the success rate of public financing is low, some consumers will choose to buy after formal sales. On the contrary, consumers will participate in the crowdsourcing stage, which also explains the "herding effect" in the crowdsourcing stage. At the same time, in the crowdsourcing stage, the optimal pricing of enterprises increases with the increase of crowdsourcing success rate and social welfare, and decrease with the increase of market interest rate. In the formal sales stage, the optimal pricing of enterprises increases with the increase of social welfare. Therefore, enterprises have the motivation to improve the success rate of crowdsourcing and social welfare. The research conclusions provide feasible suggestions for the smooth development of corporate product crowdfunding.
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    review
    Two Dimensional Warranty Management Review and Research Prospect
    DAI Anshu, WEI Guanzhou, HE Shuguang, HE Zhen
    2019, 22 (6):  96-102,117.  doi: 10.3969/j.issn.1007-7375.2019.06.013
    Abstract ( 968 )   HTML ( 29 )   PDF (487KB) ( 5953 )   Save
    A refined after-sale service plays a key role in stimulating purchase of customers, which is similar to a low price, high quality and excellent performances of products. Therefore, more and more manufacturers provide warranty as a kind of after-sale service to consumers. Durable consumption goods such as automobiles and heavy machinery are often sold with a two-dimensional warranty, where their failures can be accounted for by time and usage. This study reviews related researches of two-dimensional warranty management in three aspects, i.e., field reliability modeling, warranty claims forecasting, and warranty policy design. Some directions of future research are suggested in the end.
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    practice & application
    Application of Bayesian Network in Risk Assessment of Operational Tunnel Structure
    ZHOU Jianguo, XU Huiyun, LIU Fei
    2019, 22 (6):  103-109.  doi: 10.3969/j.issn.1007-7375.2019.06.014
    Abstract ( 804 )   HTML ( 16 )   PDF (648KB) ( 5585 )   Save
    The risks of subway tunnel structure in operation are complex and influential. How to efficiently evaluate the risk level of subway tunnel structure in operation and how to quickly identify the key risk factors to ensure the safety of tunnel structure need urgently to be solved. Thus, a risk assessment method based on fuzzy multi-state Bayesian networks is proposed. Firstly, the establishment process of fuzzy multi-state Bayesian network model is expounded. Then, the Bayesian theorem is introduced to predict the probability and analyze the influence factors of operational subway tunnel structure to evaluate the system risks. Finally, a case study is carried out to demonstrate the applicability of the proposed method which provides a reference for risk prediction and prevention of the tunnel structure of subway.
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    A Research on Lean Improvement Using Value Stream in Aircraft Skin Industry
    ZHANG Fangzhe, JIA Chunjie
    2019, 22 (6):  110-117.  doi: 10.3969/j.issn.1007-7375.2019.06.015
    Abstract ( 906 )   HTML ( 25 )   PDF (778KB) ( 5717 )   Save
    Based on the current production organization mode of aircraft skin industry, the value flow chart of skinning parts production line is drawn, and problems such as the bottleneck position, rough production plan and long period of the fine machining of sheet metal, etc. are analyzed. Drawing on the theory of lean production, measures for production efficiency improvement are proposed, covering three aspects including pull-type production, bottleneck position optimization, and process optimization. It has been found that productivity is increased by 26.8%, and the delivery cycle of aircraft skin parts shortened by 30%, producing an annual direct economic income of 551 000 RMB.
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    The Influence of E-commerce Introduction Strategy of Private Brands on the Choice of Manufacturers' Sales Modes
    CAI Renlei, NIE Jiajia
    2019, 22 (6):  118-126.  doi: 10.3969/j.issn.1007-7375.2019.06.016
    Abstract ( 927 )   HTML ( 22 )   PDF (677KB) ( 5685 )   Save
    The introduction of private brands and the choice of manufacturers' sales modes are prevailing business phenomena nowadays. The relationship between the introduction of private brand products and the choice of manufacturers' sales modes are studied, and the Stackelberg game model of both parties is constructed. The reverse induction method is used to calculate the profits of channel members under different strategies. On this basis, the profits of both parties are compared to get the equilibrium strategy under different conditions. The study found that the choice of the manufacturer's sales mode is influenced by the introduction of private brand strategy in e-commerce. When the commission ratio is too low or too high, the introduction of private brand strategy will not affect the choice of sales modes. At this time, the commission fee determines the sales mode selection; when the commission ratio is moderate, the manufacturer will introduce the agency mode under the introduction of private brands, and otherwise he will choose the distribution mode; in addition, the platform commission ratio and the consumer's recognition of the private labels will affect the introduction of private brands. The higher degree of consumer recognition has prompted e-commerce not to introduce private brands.
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    Analysis and Improvement of Fast Food Restaurants Catering Process
    JIA Shuyuan, HUANG Li, TAN Juan, LI Shungang
    2019, 22 (6):  127-134.  doi: 10.3969/j.issn.1007-7375.2019.06.017
    Abstract ( 928 )   HTML ( 22 )   PDF (559KB) ( 5618 )   Save
    As an important part of fast food restaurant catering management, the restaurant catering process is studied. An Matlab software is used to analyze customer arrival time and service time, and a queuing theory model is set up. Queuing system model is programmed by Lingo software, to test the necessity of improving catering process. And using an industrial engineering method, the unreasonable process and procedures in the existing restaurant catering are improved, a new catering process developed, the improved standard time worked out, and the best number of service desk system determined. The optimal design scheme is feasible, and provides some technical guidance to other fast food restaurants on catering management.
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