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    30 August 2020, Volume 23 Issue 4 Previous Issue    Next Issue
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    The Coordination of Three-level Fresh Agricultural Product Supply Chain Oriented to Green and Fresh Consumption
    PIAO Huishu, HU Xiujing
    2020, 23 (4):  1-10.  doi: 10.3969/j.issn.1007-7375.2020.04.001
    Abstract ( 1664 )   HTML ( 48 )   PDF (1816KB) ( 5465 )   Save
    Using the game theory method and considering the existence of green preference and fresh sensitivity of consumers, a study is conducted on a three-level fresh agricultural product supply chain consisting of a fresh produce producer, a logistics service provider and an offline supermarket under the e-commerce environment. And the optimal decision of the three-level fresh agricultural product supply chain members under the centralized decision and decentralized decision is obtained. The analysis results show that the optimal decision of the supply chain in the centralized mode is far better than the decentralized mode, and the supply chain target value is directly proportional to the green preference coefficient and the freshness sensitivity coefficient, indicating that guiding consumers to green and fresh consumption is the key to improving supply chain performance. Finally, by proposing a "cost sharing + revenue sharing" contract, the supply chain coordination and Pareto improvement are realized. And the validity of the contract is verified by a numerical analysis.
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    An Optimization Design of Fresh Agricultural Goods Transport Network under Competition
    LI Shuxia, LIU Zhiying, WANG Yiquan, SHAN Hongbo
    2020, 23 (4):  11-17,27.  doi: 10.3969/j.issn.1007-7375.2020.04.002
    Abstract ( 1227 )   HTML ( 22 )   PDF (1037KB) ( 5402 )   Save
    In view of the perishability of fresh agricultural goods and the fierce competition of logistics enterprises, a hub network optimization model of fresh agricultural goods using the idea of Stackelberg game is constructed. In this model, the decaying factor which affects demand and enterprise profit is taken into consideration. And it provides an effective method for enterprises to make location decisions of maximizing their profits according to the existing network layout of the competitors. The results show that the perishability of fresh agricultural products has a greater impact on profits than the scale effect of traditional transport networks. Also, the number of hubs plays a key role in maximizing their profits in the competitive environment. Although the leader has a first-mover advantage, both decision makers should make the responsive optimization decisions according to the actual market environment. In addition, it is relatively easy for followers to enter the market when the decaying factor is high.
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    Impacts of Risk Aversion and Credit Guarantee Ratio on Supply Chain Financing Choices
    TANG Yiqing, CHEN Xuemeng, TAN Deqing
    2020, 23 (4):  18-27.  doi: 10.3969/j.issn.1007-7375.2020.04.003
    Abstract ( 1272 )   HTML ( 10 )   PDF (705KB) ( 5327 )   Save
    The financing options of a supply chain consisting of a well-funded manufacturer and a capital-constrained retailer are examined. The CVaR method is used to construct the risk-return model of risk-avoiding manufacturers and retailers under trade credit financing and core enterprise partial credit guarantee financing. The impacts of the risk-aversion degree of manufacturers and retailers and the ratio of credit guarantee provided by manufacturer on both parties' profits and financing choices were analyzed. The results show that the risk aversion of the manufacturer and the retailer has a negative impact on profits, and the benefits of both parties are more sensitive to the risk aversion of the manufacturer; the higher the guarantee ratio or the bank interest rate provided by the manufacturer, the higher the retailer's profit and the lower the manufacturer's profit. As the manufacturer's risk aversion and the proportion of guarantees provided meet certain conditions, both retailers and manufacturers will choose internal financing methods.
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    A Research on Closed-loop Supply Chain Decision Mechanism Under Dual Intervention and Capacity Constraints
    XIAO Min, ZHANG Yao
    2020, 23 (4):  28-35.  doi: 10.3969/j.issn.1007-7375.2020.04.004
    Abstract ( 1509 )   HTML ( 11 )   PDF (1194KB) ( 5184 )   Save
    In order to study the impact of government's environmental taxation and recycling subsidy on manufacturers' and retailer's decision-making under the constraints of manufacturers' capacity constraints, and provide advice for government intervention policies, a closed-loop supply chain model consisting of a manufacturer and a retailer was constructed. Using the Stakelberg game and the inverse induction method to solve the model, it is found that when the government imposes a certain level of environmental taxation on the manufacturer, the manufacturer can fully fulfill the environmental responsibility, but it will cause losses of economic benefits and recycling quantity of the manufacturer and the supply chain, while the government's recycling subsidies can make up for these losses. In addition, the increase in recycling subsidies will have negative impact on the production and sales of new products. At last, the increase in the remanufacturing capacity factor will have a positive impact on the production and sales of new products, but meanwhile will have an adverse effect on that of remanufactured products.
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    A Strategic Analysis of Dual-channel Supply Chain with Stochastic Market Demand and Different Game Status
    LI Zonghuo, YANG Wensheng, LIU Xiaohong
    2020, 23 (4):  36-42,52.  doi: 10.3969/j.issn.1007-7375.2020.04.005
    Abstract ( 1287 )   HTML ( 16 )   PDF (918KB) ( 5278 )   Save
    In order to study the dual-channel pricing and stochastic inventory problems under different game status of supply chain members, a game model dominated by manufacturers, retailers and equal players is constructed to investigate the impact of stochastic market demand on pricing, inventory and profit. The strategy differences of supply chain with different game status are analyzed, and the optimal response strategy is explored through numerical simulation. The results show that the dominant party has stronger price control and inventory allocation ability to obtain higher income through its position advantage. The manufacturer-led supply chain has stronger channel integration capabilities, and the overall profit of supply chain is higher than that of retailer-led. Both players in the same game status situation can update their strategies according to common market information and competitor strategies, and thus obtain lower inventory risks and channel pricing, but the double marginal effect reduces the benefits of both parties. The higher the fluctuation of market demand, the larger the channel pricing, inventory and supply chain profits, and the profit growth of dominant party is greater than that of followers.
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    Game Model in Green Supply Chain Considering the Government Subsidy Mechanism under Asymmetric Information
    YUAN Xigang, ZHANG Xiaoqing
    2020, 23 (4):  43-52.  doi: 10.3969/j.issn.1007-7375.2020.04.006
    Abstract ( 1339 )   HTML ( 16 )   PDF (920KB) ( 5423 )   Save
    A two-level green supply chain system which consists of one leader manufacturer and one follower retailer is considered. The market demand of green products mainly is impacted by the price and the product green degree level. Assuming that consumer's preference for green products is asymmetric information,the manufacturer cannot accurately predict consumer's green preference. Based on above analysis, game models are built under three different situations and the optimal solution is obtained for the wholesale price, product greenness, retailing price, manufacturer and retailer's profit under three different conditions. The different changes of the optimal solution are compared and analyzed under three different situations and the different impact of consumers' green preference on the optimal decision and profit analyzed. The result shows that (1) the government subsidy mechanism can not only greatly improve the green degree of products, but also increase the manufacturer and retailers' profit; (2) regardless of consumers' green preference, government subsidies for unit products are negatively correlated with the wholesale price of green products while positively correlated with the greenness level of green products; (3) when consumers' preference for green products is low, the profit of manufacturers in RG decision model is higher than that in MG decision model.
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    A Research on Collaborative Innovation Cooperation Strategy of Green Supply Chain
    SUN Jianhui, ZHANG Haibo
    2020, 23 (4):  53-60,92.  doi: 10.3969/j.issn.1007-7375.2020.04.007
    Abstract ( 1589 )   HTML ( 15 )   PDF (934KB) ( 5451 )   Save
    Considering the impact of green goodwill on profit of green supply chain, a study is conducted on the collaborative innovation cooperation of green supply chain composed of a single core enterprise and a single supporting enterprise with the method of differential game. To be specific, in the cases of non-cooperative contract, cost-sharing contract and cooperative contract, the optimal green innovation inputs of the core enterprise and the supporting enterprise, their respective optimal profits and the overall optimal profit of green supply chain are respectively investigated. Through a comparative analysis, it is found that: 1) as an incentive mechanism, the cost-sharing contract can improve the green innovation input of the supporting enterprise, the optimal profit of both parties and the overall profit; 2) under the cooperative contract, the overall profit of green supply chain and the green innovation input of both parties are optimized. The research conclusions provide the theoretical basis for the effective collaborative innovation cooperation between the core enterprises and the supporting enterprise in green supply chain.
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    A Research on Trading Strategies of Manufacture's Carbon Emission Permit Based on Call Option
    LIU Mingwu, PAN Yanping
    2020, 23 (4):  61-68.  doi: 10.3969/j.issn.1007-7375.2020.04.008
    Abstract ( 1090 )   HTML ( 15 )   PDF (768KB) ( 5368 )   Save
    For the uncertainty in the carbon emission permit price, a call option on carbon emission permit trading is introduced, and a manufacturer-led two-level supply chain game model is built, using Kuhn Tucker conditions to solve equations. The decisions are compared between the current purchase strategy and the option strategy in supply chain. The results show that the manufacturer purchases carbon emission permit only in the form of the option contract. The options purchase quantity of carbon emission permit is less impacted by the carbon emission permit price. When the carbon emission permit price is high enough, the manufacturer's profit under the option strategy is higher than that under the current purchase strategy, and the profit of the retailer and the supply chain are also increased. The option strategy is used by the manufacturer can improve the profit of supply chain enterprise when the options cost on carbon emission permit is lower than the threshold.
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    A Study of Tourist Bus Pricing Based on User Heterogeneity
    LI Yanfeng, GONG Guilin
    2020, 23 (4):  69-74,130.  doi: 10.3969/j.issn.1007-7375.2020.04.009
    Abstract ( 1128 )   HTML ( 16 )   PDF (1056KB) ( 5484 )   Save
    Considering that the sensitivity of unit time value varies with the age of tourists, the pricing of tourist buses is studied. Aiming at a competitive tourist transportation system with cars and tourist buses, combined with the travel cost, the revenue model of tourist bus company is established in the assumption that the unit time value of tourists at different age stages has different linear relation with age. The impact of different proportion of tourists and the change of value coefficient per unit time on pricing and revenue is discussed. The study shows that when the proportion of adult tourists and the unit time value coefficient are increased, the optimal pricing and optimal revenue show a downward trend. Ticket prices can be adjusted reasonably according to the characteristics of passenger flow in different seasons. And more tourists can be attracted by reducing the cost of travel time in order to get better benefits.
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    An Interval Prediction Method for Box Office Before Released Based on Interval Theory, Entropy Weight, and TOPSIS
    TANG Zhongjun, ZHOU Yali
    2020, 23 (4):  75-83.  doi: 10.3969/j.issn.1007-7375.2020.04.010
    Abstract ( 976 )   HTML ( 11 )   PDF (633KB) ( 5543 )   Save
    In order to address ambiguity of influence factors in box office prediction, interval number is used to quantify the factors, because interval number is of high utilization of information, scientific and reasonable. In order to ensure objectivity, entropy method is applied to determine weights of each factor. TOPSIS method is used to calculate box office ideal solution nearness degree interval by treating box office influence factors as box office evaluation indicators, and by dividing box office into different categories based on classification of box office. The box office level is determined based on the box office ideal solution nearness degree, and then the interval prediction value of box office is obtained. Combining interval theory, entropy weight method, and TOPSIS method, an interval prediction method for box office before released is obtained. Some action and drama movies released between 2015-2017 are used to verify the proposed method. Average accuracy of the method is 79.33% and 73.92% respectively for action and drama movies, suggesting that the method is effective and practical. The method is valuable for film distributors' decision-making and risk aversion, and has certain reference value for early demand forecast of short life-cycle experience products similar to movies.
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    Dynamic Mechanism of Cross-border E-commerce Ecosystem Based on System Dynamics
    XUE Chaogai, ZHOU Maling, CAO Wujun
    2020, 23 (4):  84-92.  doi: 10.3969/j.issn.1007-7375.2020.04.011
    Abstract ( 1029 )   HTML ( 16 )   PDF (682KB) ( 5550 )   Save
    A conceptual model of dynamic mechanism is proposed by analyzing the internal and external forces that influence the development of cross-border e-commerce ecosystem. On the basis of qualitative analysis, the development trend of cross-border e-commerce ecosystem is simulated by Vensim PLE, and the impact of different factors analyzed by changing policy support factors, technological level factors and enterprises' own factors. The simulation results show that the government plays a stronger role in promoting cross-border e-commerce industry through strengthening customs supervision than strengthening commodity inspection and improving tax incentives. The development of information technology can promote the level of certification management and payment security. The improvement of cross-border e-commerce platform and cross-border logistics development can enhance the competitiveness of cross-border e-commerce and promote the development of cross-border e-commerce ecosystem.
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    Oligarch Pricing in Spoke Model with Consumer Preference
    TAN Meirong, LI Hao
    2020, 23 (4):  93-96,139.  doi: 10.3969/j.issn.1007-7375.2020.04.012
    Abstract ( 957 )   HTML ( 10 )   PDF (1048KB) ( 5404 )   Save
    The oligopolistic pricing game considering consumer preference from the consumer's purchasing behavior is studied. A spoke model is built based on the Hotelling model, and then through mathematical derivation, the optimal pricing of firms is obtained under different purchase intentions. The following conclusions are drawn: when the consumers are less willing to buy, the market is in a regional monopoly; when the consumers are willing to buy, the market is in a non-regional monopoly. The results of the theoretical analysis are verified by numerical examples. At the same time, it is found that whether the market is in regional monopoly competition or in non-regional monopoly competition, the consumer's purchase intention is positively correlated with the expected revenue of firms.
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    Product Line Extension with Social Preference
    SONG Chengfeng
    2020, 23 (4):  97-105.  doi: 10.3969/j.issn.1007-7375.2020.04.013
    Abstract ( 937 )   HTML ( 6 )   PDF (830KB) ( 5739 )   Save
    In an extended Hotelling model, an analysis is conducted on how firms selling goods make vertical line extension decisions when they take social preferences into account. The product line vertical extension strategy in the case of social preference or no social preference with a threat of entry is considered. It is found that, when the firm does not have social preference, the downward extension of the product line will have an extrusion effect. When a firm has a social preference, with the quality of the base product is high, and the downward extension of the product line will attract competitors to enter the market. With social preference, the optimal extension strategy of the firm's extended product line is related to the quality of the base product.
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    Optimization of a Joint Maintenance and Spare Ordering Policy Based on Remaining Useful Life Prediction
    ZHANG Xinhui, WANG Leizhen, ZHAO Fei
    2020, 23 (4):  106-113.  doi: 10.3969/j.issn.1007-7375.2020.04.014
    Abstract ( 929 )   HTML ( 11 )   PDF (770KB) ( 5577 )   Save
    The remaining useful life (RUL) can be predicted using the information related to the equipment health state, and the decisions of maintenance and spare ordering are made to reduce the cost associated with maintenance and spare parts. A joint policy of maintenance and spare ordering for single-component systems is proposed based on RUL, in which the control limit policy is used to maintenance decision-making, i.e. judging whether a preventive replacement or a failure replacement is performed depending on the degradation level. Meanwhile, the RUL at each monitoring time is estimated based on the historical degradation information, and the order threshold is introduced to decide whether an order is made or not. All possible renewal scenarios are obtained by analyzing the spare state when the replacement is required, and the corresponding occurrence probability is derived to calculate the expected cost and length. Then, the joint policy model is established to minimize the expected cost per unit time, and a discrete event simulation algorithm is designed to address the proposed model. Finally, a case study is given to demonstrate the proposed model and algorithm, and the minimal expected cost per unit time is 14.656 3 with regard to the optimal preventive replacement threshold 8 and the optimal spare ordering threshold 1 000.
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    practice & application
    A Research on Variable Route Dynamic Storage Location Adjustment on Picker-to-parts Picking System
    XU Xiangbin, FENG Qiqi
    2020, 23 (4):  114-120.  doi: 10.3969/j.issn.1007-7375.2020.04.015
    Abstract ( 902 )   HTML ( 11 )   PDF (821KB) ( 5521 )   Save
    Considering the time-varying demands of online retailing, dynamic storage location adjustment of goods in warehouse respond to demand fluctuation based on the idea of gradual refinement and optimization, And the picker is allowed to change current picking route of the order picking to adjust the goods position. The variable route dynamic storage location assignment framework model is proposed. The forward and backward alternative return-based routing strategy, picking path adjustment strategy and candidate commodity selection algorithm are researched in detail. The simulation and data analysis verified the feasibility and effectiveness of the model. The results show the mode proposed can save picker's walking distance up to 25%, in the case of medium-sized order and high demand skewness, which can provide theoretical guidance for online retail enterprises to implement dynamic storage location adjustment scientifically.
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    A Research on the Order Acceptance Evaluation of Foundry Enterprises Based on GSA-GA Neural Networks
    TANG Hongtao, FANG Bo, GAO Xiaoling, LI Xiangyi, YIN Weiming
    2020, 23 (4):  121-130.  doi: 10.3969/j.issn.1007-7375.2020.04.016
    Abstract ( 1011 )   HTML ( 13 )   PDF (1053KB) ( 5517 )   Save
    In order to guide the foundry enterprises to scientifically select orders for production in the market, sand casting enterprises are the research object. Based on the comprehensive consideration of the evaluation indicators of the key departments of the enterprise, the order acceptance evaluation index system of sand casting enterprises is designed, and an order acceptance evaluation model based on hybrid GSA-GA neural network is constructed. In the algorithm, the Tent map is used to initialize the population to guarantee the random features, and the crossover and mutation operators of the genetic algorithm are introduced to maintain the global optimal particle acquisition and improve the algorithm exploration ability. To verify the validity of the model, an example of a sand casting company's order acceptance evaluation problem is used for experimental analysis, and the parameter experiment is carried out and compared with other algorithms. The results show that the average relative error of the model is 1.945%, which can help sand casting enterprises to make scientific order acceptance evaluation decisions and improve the production efficiency of sand casting enterprises.
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    A Multi-objective Scheduling Optimization for Crude Oil Operations
    HOU Yan, HUANG Kanghuan, ZHANG Yixian, WU Naiqi
    2020, 23 (4):  131-139.  doi: 10.3969/j.issn.1007-7375.2020.04.017
    Abstract ( 1405 )   HTML ( 8 )   PDF (862KB) ( 5496 )   Save
    To detail the schedules for crude oil operations, it is necessary to optimize multiple objectives. A dual population algorithm is proposed,being called bare bone particle swarm optimization and NSGA-II algorithm, BPGA, which is based on the improved bare bone particle swarm optimization algorithm (I-BBPSO) and non-dominated sorting genetic algorithm II (NSGA-II). It controls population exchange through Pareto difference entropy, which optimizes all the costs of the charging tanks, switching the charging tanks, mixing crude oil in the pipeline and mixing crude oil in the bottom of the tanks. The proposed algorithm is applied to an industrial example and compared with several representative evolutionary multi-objective algorithms and shows its feasibility and validity .
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    A Research on Vehicle Scheduling Optimization Considering Power Consumption
    WANG Ze, YANG Xinfeng, LIU Lanfen
    2020, 23 (4):  140-147.  doi: 10.3969/j.issn.1007-7375.2020.04.018
    Abstract ( 1302 )   HTML ( 15 )   PDF (654KB) ( 5491 )   Save
    Based on the electric vehicle's power consumption characteristics, considering the constraints of electric vehicle mileage, load, and customer service time window, an electric vehicle scheduling optimization problem model with the minimum total cost of distribution as the target is established, and then uses the genetic algorithm of natural number coding is used to solve the electric vehicle. The distribution route and the charging plan of the vehicle are combined with the enumeration method at a time interval of 10 minutes during the operation time of the distribution center to calculate the optimal starting time when the penalty cost of the delivery vehicle is the smallest. Finally, the validity and correctness of the model and method are verified by an example.
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    Study on Working Improvement of Coal Mine Workers Under the Influence of Physical Mental Fatigue Interaction
    WANG Xinping, CHANG Taotao, SUN Linhui
    2020, 23 (4):  148-153,182.  doi: 10.3969/j.issn.1007-7375.2020.04.019
    Abstract ( 852 )   HTML ( 13 )   PDF (773KB) ( 5738 )   Save
    The subjective fatigue evaluation method was used to investigate and study the physical fatigue and mental fatigue of coal mining workers in a mining company of Shaanxi, and to know the work content and rest time of workers. Through data analysis with SPSS software, obtain the fatigue value of coal miners, and analyzes the cause of fatigue, put forward corresponding suggestions and solution based on the actual situation. The results show that the physical fatigue of coal miners mainly occurs in the waist, shoulders, forearms and hind legs, noise fatigue and visual fatigue is the main factors that affect workers' mental fatigue. Therefore, it is recommended to optimize the operation of miners to maximize the working environment of workers and optimize the production process and management system. The purpose is to reduce the physical and mental fatigue of coal miners, prevent human error and improve the safety of the production process.
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    Application of Combining Interpretative Structure Model and Analytic Network Process with FMEA
    CHEN Jihkuang
    2020, 23 (4):  154-158.  doi: 10.3969/j.issn.1007-7375.2020.04.020
    Abstract ( 772 )   HTML ( 9 )   PDF (374KB) ( 5659 )   Save
    Interpretative structural modeling (ISM) is introduced to analyze the level and sequence relationship between the control actions, and then the analytic network process (ANP) is used to consider the dependent relationship between the control actions, to calculate the objective weight as a new Detection values, and then the calculation of the new RPN is carried out. Taking the poor furnace welding process as a study case, the difference between the new method and the traditional method is compared, and the different results of priority improvement order are obtained and the effect improved.
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    A Cross-country Network Optimization Design for Air-transportation Pilot License Training
    WANG Yu, CHE Tong, SUN Hong, ZHU Jinfu
    2020, 23 (4):  159-166.  doi: 10.3969/j.issn.1007-7375.2020.04.021
    Abstract ( 593 )   HTML ( 6 )   PDF (816KB) ( 5641 )   Save
    To overcome the drawbacks of the traditional approach to cross-country network design for air- transportation pilot license training, and reduce the cross-country network design cost in total, a cross-country training path connection network was constructed, in which 4 levels including source arc, starting arc, connecting arc and arrival arc were used. Then several sets of feasible training paths for each cross-country training item were obtained by using computer in-depth searching algorithm. Based on these sets, the locations of training bases and the number of aviation transportation pilot license (ATPL) training students flowing on each cross-country training path were considered as decision variables, and several limitations involving the available number of both training bases and total ATPL training students, as well as the training capacity of each cross-country training base, were taken as constraints. A cross-country network design model with objective of minimizing the total cross-country network training cost was established. The results of numeric example show that the proposed approach can decrease the cross-country network training cost by 9.18% in total as opposed to the traditional approach. Additionally, as the airspace and airport capacity range from −30% to 30%, the number of training bases changes and the total network design cost fluctuates from 1.12% to −10.67%. Therefore, the approach is feasible and effective. It can guide the cross-country network design for flight training schools.
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    Posture Analysis and Improvement Research of Casting Grinding Workers
    LI Liang, XIAO Jun, LIU Zhiyan, LI Luyun
    2020, 23 (4):  167-173.  doi: 10.3969/j.issn.1007-7375.2020.04.022
    Abstract ( 785 )   HTML ( 15 )   PDF (976KB) ( 5685 )   Save
    In order to design a working platform that can reduce the working posture load of casting grinding workers, the videos of grinding work were first recorded on the spot, and then the working posture of the grinding operation in the video was analyzed by the OWAS (Ovako working posture analysis system) method. It was found that workers had to keep their back and legs bent for a long time when grinding castings and 86% of working positions were at the level of AC3 and AC4 (the two highest fatigue levels), which were in urgent need of improvement. In view of problems found in the posture analysis above, a new work platform suitable for the grinding operation is designed by combining the human body size data and the realistic constraints of the grinding operation. And the Jack software is used to verify the new platform. The results showed that when workers grinded castings on the new working platform the posture level of AC1 (the lowest fatigue level) accounted for 42.6%, the AC2 accounted for 57.4%, and the AC3 and AC4 were basically eliminated, so that the working posture of casting grinding workers has been significantly improved.
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    A Comparative Study of the Algorithm of Assembly Job Shop Lot Streaming Scheduling
    ZENG Chuifei, LIU Jianjun, CHEN Qingxin, MAO Ning
    2020, 23 (4):  174-182.  doi: 10.3969/j.issn.1007-7375.2020.04.023
    Abstract ( 1325 )   HTML ( 24 )   PDF (1087KB) ( 5556 )   Save
    A batch scheduling model of assembly job shop with minimum makespan is established. The genetic algorithm is used to construct a solution algorithm based on the overall optimization strategy, hierarchical iterative optimization strategy and bilevel evolution strategy. The difference between them is the optimization mechanisms to deal with the batch division problem and the sub-batch scheduling problem. Finally, through the simulation experiment, the solution effect and convergence speed of several kinds of algorithms are compared, and adaptability are also analyzed.
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