Loading...

Table of Content

    30 April 2022, Volume 25 Issue 2 Previous Issue   
    For Selected: Toggle Thumbnails
    ARTICLES
    An Evolutionary Game Analysis of Multi-agent Co-governance of Online Food Safety
    SHEN Cong, WEI Mingxia, XIA Yu, SHENG Yilong
    2022, 25 (2):  1-12.  doi: 10.3969/j.issn.1007-7375.2022.02.001
    Abstract ( 1692 )   HTML ( 60 )   PDF (776KB) ( 4793 )   Save
    In order to discuss the effectiveness of online food safety governance under the co-governance scenario, an evolutionary game model of online food safety co-governance with the participation of platforms, governments and consumers is constructed. Through the calculation and simulation analysis, the evolutionary equilibrium law of online food safety governance is revealed. It is found that when the evolution of online food safety governance reaches the equilibrium point, there are four different evolutionary stability strategy combinations between the platforms and the enterprises. When the co-governance mode meets the following two conditions, food enterprises in the online market will continue selling safe food: (1) The cost difference between selling safe food and unsafe food is less than the sum of the losses caused by government punishment and negative online reviews; and (2) platform negative regulation punishment is greater than the positive regulation of investment, meanwhile the cost difference between selling safe food and unsafe food is greater than the sum of the losses caused by government punishment and negative online reviews, but less than the overall punishment from the government, platform, and negative comments to the enterprises. In order to ensure the effective supply of safe food, the government departments should improve the probabilities of investigation and increase punishment for the enterprises and the platform, the platform should reduce the fees for enterprises to enter the platform, and consumers can actively participate in food safety governance through online reviews.
    References | Related Articles | Metrics
    Game Research on Quality Investment of Upstream and Downstream Enterprises of Agricultural Machinery Equipment
    LI Hongbo, ZHANG Xinpu, SHI Huan
    2022, 25 (2):  13-21.  doi: 10.3969/j.issn.1007-7375.2022.02.002
    Abstract ( 1448 )   HTML ( 34 )   PDF (2546KB) ( 4839 )   Save
    Through the establishment of a differential game model, the quality investment strategies of an agricultural component supplier and an equipment manufacturer in the design and manufacturing process under the dynamic framework are analyzed. The decision-making process and optimal strategy of the supplier and the demander are investigated under the situation of no cost sharing and cost sharing Stackelberg game and cooperation game. Finally, the results of the theoretical derivation is verified by a numerical example. The results show that the cost-sharing of the equipment manufacturer to the component supplier can improve the quality investment level of the component supplier in the design and manufacturing process and the overall income. In the case of collaborative cooperation, both the quality investment level and overall income are better than the other two situations. And the income distribution coefficient within a certain range can make the individual income of both parties reach the Pareto optimal, thereby realizing the effective coordination of the quality investment behavior.
    References | Related Articles | Metrics
    A Research on the Prediction Method of Sealing Quality of M-type Gearbox Assembly
    ZHOU Kangqu, ZHANG Chaowu, QU Qing, TANG Zhezhan
    2022, 25 (2):  22-27,41.  doi: 10.3969/j.issn.1007-7375.2022.02.003
    Abstract ( 1527 )   HTML ( 30 )   PDF (1372KB) ( 4713 )   Save
    In order to predict the seal quality of the gearbox assembly and improve the first-time assembly pass rate, a grey relational analysis and genetic algorithm-BP neural network prediction model is proposed. Applying the grey relational analysis method, the grey relational degree of the assembly process parameters is calculated, and the key assembly process parameters that affect the sealing quality of the gearbox assembly are determined. A BP neural network prediction model based on GA is established to predict the leakage value of M-type gearbox assembly. The results of several prediction methods show that the average relative error of the prediction value obtained by the proposed prediction method is the smallest, about 5.67, which verifies the effectiveness of the prediction method.
    References | Related Articles | Metrics
    A Research on Brand Image Based on Gene Classification Interactive Genetic Algorithm
    SU Chen, ZHOU Fuying, CAO Jian, PENG Wei
    2022, 25 (2):  28-33.  doi: 10.3969/j.issn.1007-7375.2022.02.004
    Abstract ( 1420 )   HTML ( 28 )   PDF (1597KB) ( 4830 )   Save
    In order to improve the commercial value of electromechanical equipment brand products and meet the needs of users for brand image, a brand image optimization and innovation method based on gene classification interactive genetic algorithm is proposed. Research and expert evaluation methods are used to extract important design elements and clear brand image vocabulary. Then the quantitative theory I is used to construct the perceptual evaluation matrix according to the corresponding relationship, and calculate the contribution value of each design element to the perceptual element set, bringing them in genetic operation through IGA. Finally, the perceptual evaluation value interval is used as the constraint condition to select the final output scheme. The method and process are applied to the design project of Jingshan Light Machinery Jepley Printing Machines. Comparing the cases before and after gene classification, the improved algorithm can obtain the shape design scheme with high user adaptability more quickly, effectively improve the effective scheme output efficiency and shorten the project period. Moreover, the equipment has been put into production in Antalya and Cerkezkoy factories of Ankutsan Group, which proves that the equipment has certain competitiveness in the high-end market. Therefore, this method can effectively guide the innovative design of electromechanical brand products, and provide a feasible and effective method for the brand image research of electromechanical equipment.
    References | Related Articles | Metrics
    Detection of Key Links in the Quality of Government Procurement of Home-based Senior Care Services Based on GERT Network
    XU Lan, LIU Hongwei
    2022, 25 (2):  34-41.  doi: 10.3969/j.issn.1007-7375.2022.02.005
    Abstract ( 1240 )   HTML ( 26 )   PDF (675KB) ( 4766 )   Save
    The key links that affect the quality of government procurement of home-based senior care services (GPHSCS) are explored. Taking Gulou district of Nanjing city as an example to construct the GERT network model of GPHSCS, the key node measure coefficients are proposed and the key nodes of GERT network identified through the numerical examples and numerical simulation, which are the key links that affect the quality of GPHSCS. The results show that supervision and evaluation, construction of supervision and evaluation system, and selection of contractors are the key links about quality of GPHSCS, and they have the greatest impact on the quality of senior care services. Improvement measures are put forward for key links, which can provide reference for solving quality problems of GPHSCS.
    References | Related Articles | Metrics
    Decision-making of Dominant Mode and Logistics Mode for Reverse Supply Chain under Mixed Recycling
    GONG Yande, YANG Junxin
    2022, 25 (2):  42-49.  doi: 10.3969/j.issn.1007-7375.2022.02.006
    Abstract ( 1510 )   HTML ( 26 )   PDF (544KB) ( 4927 )   Save
    At present, the research on different logistics service modes and dominant modes is under the assumption of a single recycling channel, and there are few related studies on the mixed recycling mode. For this reason, through the construction of models, using game theory to solve and conducting a comparative analysis, it is found the following results. 1) Enterprise pricing decisions, logistics strategies and the stability of reverse supply chain system are all related to the ratio T of cost savings from remanufacturing between self-logistics and logistics outsourcing. 2) Both manufacturers and retailers regard their leading reverse supply chain system as the optimal choice, but the choices of the corresponding logistics strategies are different. When the value of T is small, the leading enterprises tend to logistics outsourcing strategies; when the value of T is large, the leading enterprises prefer self-logistics strategies; when the value of T is moderate, the choice of corresponding logistics strategies are different according to the dominant modes. 3) No matter who is the leading enterprise, when the value of T is large or small, it is easy for manufacturers and retailers to form cooperation, and the reverse supply chain system corresponding to the two logistics models has high stability; when the value of T is moderate, the possibility of cooperation between the two is the lowest, and even if the two sides form cooperation, the reverse supply chain system is also extremely unstable.
    References | Related Articles | Metrics
    Joint Contract Coordination of O2O Agricultural Product Supply Chain under Promotion Spillover Effect
    YANG Huaizhen, ZHU Yaqin
    2022, 25 (2):  50-58.  doi: 10.3969/j.issn.1007-7375.2022.02.007
    Abstract ( 1488 )   HTML ( 22 )   PDF (827KB) ( 4734 )   Save
    In the supply chain system consisting of an online agricultural product platform and an offline physical store of agricultural products, the benefit coordination of the O2O supply chain under the spillover effect of offline to online promotion is considered. Through Stackelberg game and system cooperation, the optimal decision-making under the decentralized and centralized mode is compared, and it is found that cooperation can make the distribution of supply chain benefits more reasonable. Subsequently, a joint contract of "cost sharing and order risk sharing" is established. The results show that the promotion spillover effect can expand the demand and promote the increase of the interests of both parties without affecting the offline interests; and that the joint contract can effectively coordinate the supply chain, increase the order quantity and promotion level, and realize the maximum benefit and win-win situation for all parties.
    References | Related Articles | Metrics
    A Study of the Fresh Retailer's Optimal Logistics Decision in Transformation Based on Community O2O Mode and the Coordination of Supply Chain
    LIANG Zhanhong, HOU Qiang
    2022, 25 (2):  59-69.  doi: 10.3969/j.issn.1007-7375.2022.02.008
    Abstract ( 1431 )   HTML ( 32 )   PDF (1187KB) ( 4914 )   Save
    In order to study the optimal logistic decision-making of the traditional retailer when he develops the online sales channels in the community online to offline mode, based on the consumer utility theory, employing a function of convenience, the decision-making models under three strategies of retailer sales offline, sales online and operating in self-logistics, and cooperating with a third-party logistics service provider are constructed, to analyze the changes in retailer's optimal product pricing, optimal effort level and optimal service scope. In the two-level supply chain system with a third-party logistics service provider as the leader, a Stackelberg game is employed to obtain the optimal decision-making of both parties in the equilibrium state, and a coordination contract of "revenue sharing + cost sharing" is designed. The results show that offline sales strategy attracts consumers by lower price and moderate quality product, and its profits largely depend on the potential demand of fresh products within the service scope; the retailer under the self-logistics strategy has a more positive response to changes in consumer demand, the product pricing, preservation and distribution service effort level is highly dependent on the combination of consumer preferences; logistics outsourcing strategy has a wide range of services, and the change of consumer sensitivity has little impact on its profit level; the coordination contract has a greater incentive effect on the third-party logistics service providers, and effectively improves the overall profits and consumer utility of the supply chain. According to the numerical analysis, when both the contract ratios are 0.85, the supply chain achieves coordination.
    References | Related Articles | Metrics
    A Study of Behavioral Selection of Pharmaceutical Supply Chain Members from Dynamic Perspective
    YU Xiyuan, WEN Yan
    2022, 25 (2):  70-78,104.  doi: 10.3969/j.issn.1007-7375.2022.02.009
    Abstract ( 1466 )   HTML ( 19 )   PDF (888KB) ( 4812 )   Save
    Based on the dynamic differential game, the short-sighted and far-sighted behaviors of manufacturers and retailers as well as the cost-sharing behaviors of retailers are considered to study their influences on the behavioral choices of pharmaceutical supply chain members, research and advertising investment operation strategies, and supply chain performance. A differential game model is constructed for four behavior modes: short-sighted manufacturers and retailers (SS), far-sighted manufacturers and short-sighted retailers (FS), short-sighted manufacturers and far-sighted retailers (SF), and far-sighted manufacturers and retailers (FF). The member strategy and performance of four behavior patterns are analyzed and compared. The research shows that: far-sighted behavior is the dominant strategy for both drug manufacturers and drug retailers, and choosing far-sighted behavior, both parties' profit throughout the supply chain will be higher; in addition, the advertising cost sharing behavior of drug retailers can increase the profit of pharmaceutical supply chain members, and cost-sharing ratio in its cooperation with short-sighted manufacturers will be higher.
    References | Related Articles | Metrics
    An Analysis of Influence Factors of VMI Stability Based on Orthogonal Experiment
    SHA Jin, ZHENG Sisi
    2022, 25 (2):  79-85.  doi: 10.3969/j.issn.1007-7375.2022.02.010
    Abstract ( 1297 )   HTML ( 20 )   PDF (429KB) ( 4748 )   Save
    In order to clarify the influence of supply chain parameters on stability of VMI cooperation, a revenue model considering demand amplification, change of ordering and inventory costs is built and an orthogonal experiment is introduced into multi-parameter sensitivity analysis to confirm that enterprises with different characteristics on different positions in supply chain have different tendencies to VMI cooperation. It is found that enterprises on downstream of supply chain have willingness to VMI and their intentionality is negatively correlated with their inventory management level, but those with excellent operation level are more likely to find cooperation partners. However, upstream enterprises on supply chain are cautious about VMI, and the higher the level of operation is, the less likely they are to cooperate, hence the poorer stability of VMI.
    References | Related Articles | Metrics
    A Study of Branch and Price Algorithm for E-commerce Warehouse Order Batching and Routing Problem
    CHEN Yanbo, CHEN Feng, WEN Ruolin
    2022, 25 (2):  86-94.  doi: 10.3969/j.issn.1007-7375.2022.02.011
    Abstract ( 1421 )   HTML ( 32 )   PDF (785KB) ( 4786 )   Save
    With the development and popularity of e-commerce, warehousing logistics has become an important link to determine the service quality of e-commerce. E-commerce has gradually transformed into a modern e-commerce model based on warehousing operation and service. The problem of order picking and routing optimization for e-commerce warehousing is studied. Firstly, the mixed integer linear programming model is established on the basis of the problem. Secondly, an accurate algorithm based on column generation and branch pricing is proposed. Furthermore, a comprehensive numerical experiment is carried out to verify the effectiveness of the proposed model and the high efficiency of the algorithm. Finally, a case study is carried out to verify the applicability of the proposed model and algorithm.
    References | Related Articles | Metrics
    A Research on the Influencing Factors of Customer Perceived Value of Electric Vehicle Rental Industry on Customer Loyalty
    GUO Peng, MIAO Rui, HU Hao, JIANG Zhibin
    2022, 25 (2):  95-104.  doi: 10.3969/j.issn.1007-7375.2022.02.012
    Abstract ( 1346 )   HTML ( 35 )   PDF (728KB) ( 4880 )   Save
    The rental service of electric vehicles (EVs) has attracted considerable attention due to its unique advantages such as environmental protection and convenience. To better provide service, companies must maintain long-term customer loyalty (CL) . Existing research mainly clarifies the relationship between customer perceived value (CPV) and CL, and fails to optimize the rental service system. First, multi-dimensional measurement models and path hypothetical models of customer perceived value (CPV), customer trust (CT), planned behavior (PB) and CL are established. Then, factor analysis is used to verify that the questionnaire data has good reliability and validity. Finally, the path analysis of structural equation modeling (SEM) is used to derive the main factors and value-added paths that drive CL in EV rental service. The results show that CPV in rental service of EVs effectively improves CT, actively drives PB, and ultimately plays a positive role in CL. This study can improve CL of EV rental service, promote the urban governance and provide companies with decision support and service optimization direction.
    References | Related Articles | Metrics
    Pricing Strategies for Dual-channel Retailers and Online Retailers Considering Product Freshness
    ZENG Mingang, LI Min
    2022, 25 (2):  105-112,120.  doi: 10.3969/j.issn.1007-7375.2022.02.013
    Abstract ( 1426 )   HTML ( 24 )   PDF (1197KB) ( 4822 )   Save
    A study is conducted on the competitive behavior of a single supplier and two retailers of the supply chain system, the double channel and online channel of fresh products retailers in situations dominated by different channel structures, considering product freshness, fresh investment level, cross channel product freshness and price to the market demand. Using the Stackelberg game, the influence of pricing strategies for retailers in market competition in different channels is analyzed, and the influence of model parameters on the optimal results is analyzed by using Matlab. The results show that product freshness has a greater influence on dominant price, and the influence on cross-price of dual-channel retailers is always higher than that of online retailers. When retailers invest in high fresh-keeping cost, the online price of dual-channel retailers is always higher than that of online retailers. Retailers, as followers, are more influenced by the freshness of fresh products.
    References | Related Articles | Metrics
    Research on Evaluation of Synergy Degree of Collaborative Innovation in High-tech Industry
    CHEN Hongchuan, WEI Luqing, HUANG Xiaojun, WEI Lulu
    2022, 25 (2):  113-120.  doi: 10.3969/j.issn.1007-7375.2022.02.014
    Abstract ( 1188 )   HTML ( 23 )   PDF (462KB) ( 4583 )   Save
    Analyzing the synergy degree of collaborative innovation system of high-tech industry helps to industrial innovation. The collaborative innovation system of high-tech industry is divided into three subsystems: innovation input, innovation output and innovation environment. By use of the synergy degree model of composite system, the synergy degree of collaborative innovation system of high-tech industry in China and its 11 districts is analyzed empirically. The results show as follows. Firstly, the mean of synergy degree of collaborative innovation system of high-tech industry in China and its 11 districts is low from 2013 to 2020, and the national mean of synergy degree is only 0.41. Secondly, the value of order degree of input subsystem of collaborative innovation system of high-tech industry in China in 2020 is high(0.84), the value of order degree of output subsystem is high(0.97), and the value of order degree of environment subsystem is high(0.97). Thirdly, the order degree of each subsystem of collaborative innovation system of high-tech industries in 11 districts in 2020 is unbalanced. The value of order degree of output subsystem and that of environment subsystem are high overall, while the value of order degree of input subsystem is low on the whole. Fourthly, the mean of synergy degree of collaborative innovation system of high-tech industry in Guangdong ranks first among the 11 districts in China from 2013 to 2020.
    References | Related Articles | Metrics
    PRACTICE & APPLICATION
    Effects of Carbon Credits Buy-back Strategy on Manufacturing/Remanufacturing Decisions of the Capital-constrained Enterprise
    WANG Yongjian, WANG Fei, WANG Zhanjie
    2022, 25 (2):  121-127,145.  doi: 10.3969/j.issn.1007-7375.2022.02.015
    Abstract ( 1308 )   HTML ( 16 )   PDF (900KB) ( 4747 )   Save
    Aiming at a hybrid manufacturing/remanufacturing enterprise, considering both capital and emissions constraints, a nonlinear programming model is formulated under the carbon credits buy-back strategy and solved by using Kuhn-Tucker conditions. Meantime, a numerical example is provided to show that critical values of the carbon price and emissions increments of unit new product jointly define a few different decision regions under the carbon credits buy-back strategy. And production decisions are also affected by carbon quotas, while the carbon price has more obvious controlling effects on production decisions and total carbon emissions. Moreover, there exists a unique emissions incremental value of unit new product to enable total profit to be optimum when the carbon emissions of unit remanufactured product remain unchanged.
    References | Related Articles | Metrics
    A Research on Multi-objective Non-permutation Flow-shop Scheduling Considering Deterioration Effect
    QIAN Weikang, TANG Hongtao
    2022, 25 (2):  128-136.  doi: 10.3969/j.issn.1007-7375.2022.02.016
    Abstract ( 1363 )   HTML ( 22 )   PDF (1035KB) ( 4775 )   Save
    The performance of the machine will be reduced after a long period of work, which will lead to longer processing time of the job. Hence, considering the deterioration effect caused by the machine, a non-permutation flow shop scheduling problem is studied. A mixed-integer linear programming model is firstly formulated to minimize maximum completion time and total energy consumption, and a two-stage whale optimization algorithm (TWOA) is proposed to solve this model. In the algorithm, the coding method based on the workpiece sequence is used and an initialization method based on the NEH heuristic is adopted to improve the quality of the population. The "better and nearest" individual is adopted and a two-stage global search is designed. At the same time, the tabu search mechanism is used to improve the local search ability. Finally, the simulation experiment is carried out to verify the effectiveness and superiority of proposed TWOA in solving the proposed problem.
    References | Related Articles | Metrics
    Process Optimization of Clean Operation Center Based on Dynamic Value Flow
    HUANG Li, YE Chunming, LIU Wenzhi, LUO Qun, DONG Xuewen, CAO Wanlin
    2022, 25 (2):  137-145.  doi: 10.3969/j.issn.1007-7375.2022.02.017
    Abstract ( 1276 )   HTML ( 20 )   PDF (1027KB) ( 4699 )   Save
    In order to solve the problems of long overtime running time, high energy consumption in clean operation center, the dynamic value flow based on triangular fuzzy number theory is employed to analyze the operation process with uncertain duration. It is found that the key to solve the problem is to shorten the timespan and fluctuation range of bottleneck resources, so as to reconstruct the operation process. In order to evaluate the process performance before and after improvement, a Monte Carlo method is used to generate the simulation data based on the survey data, a Matlab software used to simulate and analyze the operation process, and a Gantt chart used to visualize the improvement effect of bottleneck resources. The research conclusions have theoretical significance and application reference value for the process optimization of clean operation center.
    References | Related Articles | Metrics
    A Demand Response Model Based on User's Renewable Energy Preference
    DUAN Jinpeng, DAI Yeming, QI Yao, ZHAO Pei
    2022, 25 (2):  146-154.  doi: 10.3969/j.issn.1007-7375.2022.02.018
    Abstract ( 1378 )   HTML ( 19 )   PDF (993KB) ( 4847 )   Save
    With the gradual opening of electricity retail market and the rapid development of renewable energy power generation, the consumption of renewable energy has become a hot issue. To promote the consumption of renewable energy in the retail market, a Stackelberg game model among traditional power retailer, island hybrid renewable energy system (IHRES) and multiple users is established to research the demand response. Meanwhile the influence of users' renewable energy preference on the results is considered. The existence of non-cooperative game equilibrium on the retail side and the unique global optimal solution of the user side is proved, and the Stackelberg game equilibrium is obtained. A distributed iterative algorithm is proposed to solve the resident user's optimal power demand and the retailer's optimal pricing strategy in the equilibrium state. The simulation results verify the convergence of proposed algorithm, and show that the pricing strategies of the two types of power retailers appear in an opposite trend with the change of user preference. In addition, with the improvement of user preference, it can effectively promote the consumption of renewable energy in the electricity market and ensure the stability of power load.
    References | Related Articles | Metrics
    A Decision-making Analysis of Express Packaging Recycling Considering Reciprocal Preference Based on Patent Protection and Policy Subsidy
    LI Lulu, PANG Jingya, MU Wenjing, TIAN Liping
    2022, 25 (2):  155-162.  doi: 10.3969/j.issn.1007-7375.2022.02.019
    Abstract ( 1384 )   HTML ( 22 )   PDF (939KB) ( 4774 )   Save
    Under the background of patent protection and government subsidies, the mutual preference model between logistics service providers and express packaging manufacturers and the pairwise mutual benefit model between members of the supply chain are respectively constructed , and the models are solved by reverse induction. Through the research, it is found that the reciprocal preference relationship among the members of the supply chain can not only increase the profits of the members and the whole closed-loop supply chain, but also improve the subjective utility of the members. The reciprocal preference degree of express packaging manufacturers has the greatest influence on the profits of each member of the supply chain, the overall profits of the system and the subjective utility of the system. The degree of reciprocal preference among members of the supply chain is negatively correlated with their own interests and positively correlated with each other's interests. The total utility and profit of the system are positively correlated with the degree of mutual preference among them. Finally, the correctness of the conclusion is verified by numerical results.
    References | Related Articles | Metrics
    Warranty Cost Prediction Considering Users' Replacement Behavior
    MA Xiaomin, HE Shuguang, LI Ting
    2022, 25 (2):  163-167.  doi: 10.3969/j.issn.1007-7375.2022.02.020
    Abstract ( 1148 )   HTML ( 27 )   PDF (533KB) ( 4471 )   Save
    In view of the short life of consumer electronic products and the frequent upgrade process, considering that users may replace products in advance under the consideration of multiple factors, some warranty claim manufacturers do not have to bear the cost of quality assurance, which will help manufacturers to improve their profits. Considering the case of random sales, the cost of quality assurance is predicted by integrating hardware failure, software failure, random sales and users' replacement behavior in advance, including the situation where hardware failure and software failure are independent and correlated, the modeling process of quality assurance cost within a fixed time interval is discussed. The numerical analysis shows that the cost of quality assurance can be significantly reduced when users' replacement behavior is taken into account, and it can also provide references for manufacturers to make quality assurance policies.
    References | Related Articles | Metrics