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30 August 2022, Volume 25 Issue 4 Previous Issue    Next Issue

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Manufacturing/Remanufacturing Production Decision Considering Share Finance Lease under Carbon Quota Trading CHEN Weida, CAO Mingrui 2022, 25 (4):  1-10,27.  doi: 10.3969/j.issn.1007-7375.2022.04.001 Abstract ( 1156 )   HTML ( 55 )   PDF (1252KB) ( 3740 )   Save Under the carbon quota trading system, the carbon emission reduction equipment in the manufacturing and remanufacturing process was introduced by sharing financial leasing, and its impact on the production decision-making of enterprises was analyzed. The objective function of profit maximization was constructed and solved by Kuhn Tucker condition. Through numerical analysis, the influence of capital, income sharing rate and unit carbon emission reduction on production decision-making was explored. The results show that: the higher the revenue sharing rate is, the lower the new product output is; with the increase of carbon emission reduction per unit, the total profit will increase, and when the enterprise is constrained by funds, the total carbon emission will decrease; when the revenue sharing rate and carbon emission reduction per unit take the same value, the enterprise will introduce carbon emission reduction equipment in remanufacturing process through share financing lease rather than carbon emission reduction equipment in manufacturing process, make more profits and generate less carbon emissions. References | Related Articles | Metrics

A Research on Pricing Decision of Hybrid Channel Supply Chain Considering Online Coupon Promotion DU Jianguo, LI Jingfu 2022, 25 (4):  11-19.  doi: 10.3969/j.issn.1007-7375.2022.04.002 Abstract ( 1253 )   HTML ( 16 )   PDF (817KB) ( 3829 )   Save Under the scenario of a third-party online retailer's coupon promotion, the heterogeneity of consumer channel preferences and price preferences are considered, and a mixed channel supply chain model composed of manufacturers and third-party online retailers constructed. Based on the theory of consumer utility analysis and discussion of market division, and through the establishment of a Stackelberg game model with the manufacturer as the leader, the manufacturer's pricing decisions and the third-party online retailers' promotion decisions are studied. The research results show that when the travel cost is large, the increase in the proportion of online channel preference cannot make the amount of online coupons smaller; the complexity of promotional activities is negatively related to the manufacturer's pricing and negatively related to the amount of coupons. References | Related Articles | Metrics

A Study of Closed Loop Supply Chain Price Decision of Electronic Waste Duales Recycling JIA Xiaoxia, ZHANG Yuheng 2022, 25 (4):  20-27.  doi: 10.3969/j.issn.1007-7375.2022.04.003 Abstract ( 1260 )   HTML ( 18 )   PDF (6628KB) ( 3886 )   Save Considering the importance of producer's responsibility arrangement on the sustainable development of “Zero Waste City”, from the view-point of reverse supply chain, manufacture and consumer are introduced into the model. This duales recycling means the recovery work completed by environmental sanitation enterprise and recycling enterprise. The respective optimal decision of these and their effects on the supply chain are further analyzed in supply chain economic activities. Therefore, the rationality of the model is verified. The research results prove that the price sensitivity of consumer has a significant impact on recovery quantity. Also, the competition status between recovery subjects can affect the healthy and continuous operation of this dual channel recovery closed loop supply chain. Moreover, the price decision of manufacture is of different influence on the strategy choice of other subjects. References | Related Articles | Metrics

Dual-channel Manufacturer Pricing and Financing Decisions Considering 3PL Corporate Financing Service LIANG Xi, ZHAO Yingjie 2022, 25 (4):  28-35.  doi: 10.3969/j.issn.1007-7375.2022.04.004 Abstract ( 1144 )   HTML ( 12 )   PDF (787KB) ( 3780 )   Save In the dual channel supply chain composed of a manufacturer, a traditional retailer and a 3PL enterprise, the manufacturer is dominant and has capital constraints. The traditional retailer and 3PL enterprise provide transportation services for the traditional channel and the direct channel respectively. A Stackelberg game model is constructed and three situations compared and analyzed: the manufacturer having no capital constraints, financing from the retailer and financing from the 3PL enterprise. The pricing and internal financing decision of dual channel supply chain are discussed. The results show that: when the transportation service cost is high, manufacturers always choose to finance from 3PL enterprises; when the transportation service cost is low, if the direct channel market share is high, manufacturers tend to finance from 3PL enterprises; if the direct channel market share is low, manufacturers tend to finance from retailers. References | Related Articles | Metrics

A Research on the Optimal Decision of Internet Financial Platform Considering Short-sighted Cognition and Herd Effect XIA Yu, WEI Mingxia 2022, 25 (4):  36-44.  doi: 10.3969/j.issn.1007-7375.2022.04.005 Abstract ( 918 )   HTML ( 13 )   PDF (928KB) ( 3662 )   Save In order to explore the impact of short-sighted cognition and herd effect on project admission decision of Internet financial platform, decision models of a single platform and industry are respectively constructed on the basis of behavioral economics theory. Then, a numerical simulation method is used to verify the model results and analyze the influence of various factors on optimal decision in combination with actual scene. The results show that short-sighted cognition affects the decision of Internet financial platform and industry, and the greater the degree of cognitive deviation, the higher the degree of irrationality of the platform, so that the decision period of the actual decision period deviates from the planning period, and more low-quality projects enter the platform and industry. In addition, the herd effect and the proportion of short-sighted platforms will also affect the actual decision of the industry, which makes a big difference between the decision bias of industry and single platform. To prevent the risks posed by the entry of too many low-quality projects, regulators should increase penalties, take more measures and reduce the short-sighted awareness of the platform, while paying attention to the impact of herd effects to avoid further spread of the negative effects of herd effects. References | Related Articles | Metrics

Retailer's Inventory Policy with Payment Time-Related Wholesale Price under Stochastic Demand ZHOU Yongwu, CHEN Yi, HE Huan, CHEN Chuanying 2022, 25 (4):  45-53.  doi: 10.3969/j.issn.1007-7375.2022.04.006 Abstract ( 932 )   HTML ( 14 )   PDF (813KB) ( 3646 )   Save Considering a market with demand uncertainty, the supplier provides the retailer with wholesale price related to the payment time—that is, the longer the retailer delays the payment, the higher the wholesale price of the product. Then, the retailer's optimal payment time and target inventory at the order point are addressed in order to obtain the maximum expected unit cycle revenue. Combining the relationship between the time when the retailer's inventory level drops to 0, the order time and the payment time, three inventory scenarios of the retailer are analyzed and the retailer's expected unit cycle revenue derived. The results show that the retailer's expected unit cycle revenue is a concave function of target inventory and there is a unique solution of target inventory. When the variation parameter of wholesale price is small, the retailer's expected unit cycle revenue is a concave function of payment time. The numerical results show that when the standard deviation of market demand increases, the retailer's optimal payment time, optimal target inventory and expected unit cycle revenue decrease; When the average market demand increases, the retailer's optimal payment time, optimal target inventory and expected unit cycle revenue increase. References | Related Articles | Metrics

A Research on Braess Paradox and Price of Anarchy in Traffic Networks WANG Aihu, TANG Yuanhua 2022, 25 (4):  54-59.  doi: 10.3969/j.issn.1007-7375.2022.04.007 Abstract ( 1075 )   HTML ( 8 )   PDF (843KB) ( 3913 )   Save Braess Paradox suggests that new roads may reduce travel efficiency. To quantitatively analyze the impact of Braess Paradox on the efficiency of the road network, the expressway networks of Guangzhou, Suzhou and California are selected to locate Braess Paradox Links; then the change of total travel time and Price of Anarchy after closing paradox links under various traffic demands are empirically analyzed. The results show: 1) Braess Paradox Links exist in all three road networks under specific demands, and the total travel time can be respectively shortened by 0.72%, 1.79%, 1.51% after closing Braess Paradox Links; 2) Braess Paradox does not occur under low demand or high demand, but may occur in the intermediate demand interval; 3) Closing Braess Paradox Link does not change the overall trend of Price of Anarchy curve, but it will locally change Price of Anarchy. Therefore, it is necessary to locate the Braess Paradox Links, and improve the travel efficiency of the road network through measures such as limiting traffic flow or closing the road. References | Related Articles | Metrics

Optimization of Distribution Path of Electric Refrigerated Vehicle under Time-Varying Road Network WANG Jiuhe, AN Congzhuo, GUO Tianyu 2022, 25 (4):  60-69,107.  doi: 10.3969/j.issn.1007-7375.2022.04.008 Abstract ( 1276 )   HTML ( 19 )   PDF (1077KB) ( 4142 )   Save In order to solve the route selection problem of electric vehicles in the process of cold chain logistics distribution in time-varying road network, according to the characteristics of cold chain products and electric refrigerated vehicles, the multi-fuzzy time window constraints and the distribution vehicle power constraints are introduced, and the electric refrigerated vehicle route optimization model considering the multi-time window constraints of charging stations in time-varying road network established. The AP clustering algorithm is used to divide the distribution area, and the improved genetic algorithm used to solve the model on the basis of clear distribution range. The validity and feasibility of the model and algorithm are verified by a simulation example. The distribution schemes under static network and time-varying network are compared, and the universality of the model is verified by randomly generated cases of different scales. The results show that compared with the static road network, the distribution scheme based on time-varying road network can reduce the distribution cost by 12.201%. The research results have certain guiding significance for helping enterprises to plan the distribution route scientifically and reduce the distribution cost. References | Related Articles | Metrics

A Cloud Service Selection Method Considering User Dynamic Preference under an Intuitionistic Fuzzy Environment CHENG Yuxin, YU Chunxia, LIU Mingming 2022, 25 (4):  70-79.  doi: 10.3969/j.issn.1007-7375.2022.04.009 Abstract ( 1023 )   HTML ( 11 )   PDF (828KB) ( 3745 )   Save There are a large number of cloud services on the cloud manufacturing platform. How to select satisfactory cloud services from a large number of cloud services for users without professional knowledge has become an important challenge. In the process of cloud service selection, when users are at different stages of the product life cycle, their preference for the attributes of cloud services is different. In other words, the preferences of users change dynamically over time, which will directly affect the results of cloud service selection. A cloud service selection method is proposed that considers the dynamic preferences of users. First, the intuitionistic fuzzy numbers is used to process heterogeneous QoS attribute data. Secondly, under the intuitionistic fuzzy environment, the entropy method is used to obtain the QoS attribute weight as the user's initial preference, and then the user's dynamic preference is determined by using the Markov chain. Finally, the VIKOR method is used to evaluate cloud services under an intuitionistic fuzzy environment, and a ranking is given. Experimental results show that this method can effectively help decision makers in different life cycles of products to choose satisfactory services, and the method proposed is reliable in different scenarios. References | Related Articles | Metrics

A Refined Variable Neighborhood Search Algorithm for Automated Guided Vehicle Flow Path Design Based on the Theory of Strongly Connected Digraph LIAO Yong, CHEN Qingxin, MAO Ning, ZHANG Huiyu 2022, 25 (4):  80-90.  doi: 10.3969/j.issn.1007-7375.2022.04.010 Abstract ( 994 )   HTML ( 14 )   PDF (1301KB) ( 3776 )   Save The flow path network for automated guided vehicle (AGV) is an important part for the layout design of material handling system. The AGV flow path network determines shop floor logistics cost by setting the routing and distances of material transportation. A refined variable neighborhood search (VNS) algorithm for AGV flow path design is proposed using the strongly connected theory of digraph. The research is conducted in the following four steps: 1) a mathematical model is established with the optimization objective to minimize the loading costs and no-loading loss for AGV; 2) a new initial solution generation method is proposed, and a network flow model is constructed to calculate objective function of solution; 3) three neighborhood structure generation methods are proposed to enhance the local search ability, and feasible solutions can be ensured in the local search within neighborhood, which in turn improve the efficiency and quality of solution; 4) six AGV flow path design instances are used to make comparisons between the new proposed VNS algorithm and the other heuristic algorithms. The experimental results show that the refined VNS can obtain optimal solutions in small and medium scale instances, and better AGV flow path design schemes can be obtained by the new proposed algorithm in large scale instances. The outcomes reveal the effectiveness of the new proposed VNS algorithm. References | Related Articles | Metrics

Joint Optimization Decision of Preventive Maintenance Plan and Buffer Inventory Considering Service Age SHEN Bin, LI Fang, LYU Wenyuan 2022, 25 (4):  91-99.  doi: 10.3969/j.issn.1007-7375.2022.04.011 Abstract ( 930 )   HTML ( 4 )   PDF (1244KB) ( 3912 )   Save Aiming at the problem of preventive maintenance in production system, the preventive maintenance strategy is put forward considering buffer inventory and service age regression. The influence of service age on failure rate is analyzed and the number of equipment failures calculated. A joint optimization decision-making model of equipment preventive maintenance plan and buffer inventory is established. This model takes preventive maintenance cycle T and buffer stock S as decision variables, and takes the total cost per unit time in the cycle CT(T, S) as the decision goal. The discrete iteration algorithm is used to solve the example simulation, to obtain the optimal inventory and preventive maintenance cycle, so as to minimize the total cost per unit time. The comparison of the examples shows that the strategy model can effectively save the production cost. Finally, through a sensitivity analysis, the influence of relevant parameters on the strategy model is obtained, which verifies the validity of the model and provides theoretical guidance for maintenance planning. References | Related Articles | Metrics

A Research on the Errand Purchasing Instant Delivery Based on Crowdsourcing Platform YU Haiyan, WANG Shuxiang, LI Hongmei 2022, 25 (4):  100-107.  doi: 10.3969/j.issn.1007-7375.2022.04.012 Abstract ( 1084 )   HTML ( 9 )   PDF (852KB) ( 3963 )   Save According to the characteristics of errand purchasing, such as order sparsity, the long delivery distance, and the dependence of the delivery distance on the return of the deliverymen. In order to improve the delivery efficiency of the orders and the income of the deliverymen, a real-time order allocation and routing model is established. A strategy of long-distance direct delivery and short-distance combined based on the rolling horizon is designed to solve this problem. A numerical analysis is used to verify the effectiveness of this strategy. And a comparative study with the ordinary crowdsourcing combined order strategy is conducted. Its applicability is further studied through a sensitivity analysis of the parameters such as vehicle capacity, limited delivery distance and total order quantity. The results show that, the established mathematical model and the designed strategy have advantages in delivery timeliness and deliverymen utilization rate. This strategy is more suitable for the errand purchasing. Increasing the limited delivery distance can reduce customers' waiting time and improve their satisfaction; reducing the total number of deliverymen or increasing the order quantity can improve the income and enthusiasm of deliverymen; the average completion time per order can be reduced by increasing the limited delivery distance, and the average return of deliverymen increased by reducing the total number of deliverymen. References | Related Articles | Metrics

Manufacturer's R&D Investment Selection and Supply Chain Optimization with Reference Price Effect NIE Jiajia, YAN Shenglan 2022, 25 (4):  108-115,124.  doi: 10.3969/j.issn.1007-7375.2022.04.013 Abstract ( 971 )   HTML ( 11 )   PDF (1138KB) ( 3750 )   Save A study is conducted on the strategy selection analysis of the manufacturer's investment in cost reduction or quality improvement and whether the E-commerce provides the historical price of the product. The supply chain structure of one manufacturer and one E-commerce supplier is considered, the equilibrium results are obtained by backwards induction method, and the influence of different strategy combinations on the manufacturer, E-commerce and supply chain is discussed. The results show that the manufacturer's cost reduction is always beneficial to the E-commerce. The E-commerce can increase the profit of the supply chain, consumer surplus and social welfare by offering the historical price on its own initiative, and the greater the reference price effect is, the greater the increase is. When the cost investment efficiency of the manufacturer is far lower than the quality improvement efficiency, the manufacturer chooses to improve product quality. As the quantity of quality improvement becomes larger, the E-commerce supplier will not provide the historical price. References | Related Articles | Metrics

A Research on Optimization of Product Service Supply Chain under the Influence of Pre-sales Service REN Xiaohui, SHEN Jin, CHANG Daofang 2022, 25 (4):  116-124.  doi: 10.3969/j.issn.1007-7375.2022.04.014 Abstract ( 1039 )   HTML ( 3 )   PDF (843KB) ( 3740 )   Save In view of the product service supply chain (PSSC) optimization problem considering the influence of pre-sales service, the non-linear optimization theory is used to construct the PSSC network optimization model under the influence of pre-sales service. The global profit optimal solution of service integrators and product suppliers are taken as the goal to solve the optimal service level, service price and PSSC network structure. A bi-level nested genetic algorithm with constraint reasoning is proposed. Finally, by calculating the PSSC case of a building material company that produces ship water mist spray system, it is proved that the mathematical model and the constrained double-nested genetic algorithm have some theoretical guidance and reference value for solving this kind of problems. References | Related Articles | Metrics

An Optimization Selection Decision Making Method of Engineering Project Group in Henan Pilot Free Trade Zone Based on Mixed Multi-dimensional Heterogeneity Information HAN Erdong 2022, 25 (4):  125-133.  doi: 10.3969/j.issn.1007-7375.2022.04.015 Abstract ( 1007 )   HTML ( 10 )   PDF (589KB) ( 3767 )   Save In order to deal with optimal decision problem of engineering project group with interactive coupling correlation among sub-projects, the positive and negative ideal reference points are determined by the normalized decision matrix based on prospect theory. Based on the vertical distance, the prospect value of each alternative engineering project group under a single criterion is calculated, a nonlinear programming model is built to maximize the sum of the comprehensive prospect value of all the alternative engineering project groups to determine the weight of each criterion. The ranking of alternative engineering projects is selected based on improved TODIM method and according to the total superiority degree. Through sensitivity analysis and comparative analysis, the influence of different parameters on the ranking results is discussed, to illustrate the effectiveness and feasibility of the decision making method. References | Related Articles | Metrics

PRACTICE & APPLICATION

A Research on the Impact of Overconfidence on Joint R&D Decision of New Energy Vehicle Supply Chain MA Liang, PU Tianle 2022, 25 (4):  134-142.  doi: 10.3969/j.issn.1007-7375.2022.04.016 Abstract ( 1024 )   HTML ( 6 )   PDF (1344KB) ( 3757 )   Save The new energy vehicle supply chain is chosen as an object, and the changes of cooperative R&D decisions between battery manufacturers and automobile manufacturers are compared and analyzed under three different conditions of overconfidence and complete rationality. The results show that overconfidence in the three conditions can promote to some extent the R&D effort investment of battery manufacturer and automobile manufacturer, which is beneficial to improve the overall utility of the supply chain, and the effect of overconfidence in the condition of both sides is the strongest. In order to improve the overconfidence effect of both sides, a targeted revenue sharing mechanism is established, and the revenue sharing coefficient under the maximum condition of endurance capacity and the overall utility of the supply chain is determined, which can reach the optimum overall benefit of the supply chain. Finally, the effect of it in different situations is verified by simulation analysis, and corresponding optimization suggestions are put forward. References | Related Articles | Metrics

Conflict Resoluting in Complex Spatiotemporal Networks via Group Role Assignment LIU Dongning, XIANG Jiamin, ZENG Simin, YE Ziqing 2022, 25 (4):  143-150,172.  doi: 10.3969/j.issn.1007-7375.2022.04.017 Abstract ( 957 )   HTML ( 7 )   PDF (1474KB) ( 3798 )   Save Tasks are often executed in a highly parallel and concurrent mode in spatiotemporal networks. Specified task distribution benefits the decreases of the complexity of cooperation among system components. As one of the important and pivotal issues in collaborating, spatiotemporal constraints must be taken into consideration in task allocation. Otherwise, the assigned tasks will be in conflict frequently during the execution step, which will lead to a sharp decline of the overall system performance. In order to avoid conflicts and optimize the team performance and the interoperability, the following three aspects are mainly investigated: 1) taking airport parking space scheduling as an example, modeling the assignment problem under time and space constraints via group role assignment (GRA), which is a sub-model of Role-Based Collaboration (RBC) and its general model E-CARGO; 2) analyzing situation of different agents undertaking different roles, and different agents undertaking the same role, so as to establish the qualification matrix and the collaboration matrix; 3) decoupling and dissolving spatiotemporal constraints, and furthermore, pursuing an integer programming, which is used to solve the multi-objective balance between the passengers' preference and the utilization of airport parking space. Large-scale simulation experiments and results indicate that, this method is general, valid and reliable. In addition, compared with the traditional GRA model, the subject performance is increased by 6.21%, the object preference is increased by 9.72%, and the second level running speed can meet the requirements of rapid assignment response in complex spatiotemporal networks. References | Related Articles | Metrics

Asynchronous Parallel Disassembly Sequence Planning Based on Improved Genetic Algorithm SUN Xianjing, TANG Qiuhua, DENG Mingxing 2022, 25 (4):  151-157.  doi: 10.3969/j.issn.1007-7375.2022.04.018 Abstract ( 1115 )   HTML ( 67 )   PDF (757KB) ( 3706 )   Save Aiming at the problem of asynchronous parallel disassembly sequence planning considering the priority relationship constraint and the machine working area conflict constraint, a genetic algorithm with path reconnection strategy is proposed. The disassembly direction is simplified by defining the And/Or priority relationship between components. And via the working area conflict constraint, the working area conflict is avoided during the disassembly process of the parts. On this basis, the population is encoded and decoded, and a path reconnection operator is added to reconnect the elite solution obtained by the genetic algorithm iteration to enhance the local search ability of the algorithm. Finally, a number of actual cases prove the effectiveness of the algorithm. References | Related Articles | Metrics

A Research on Optimization of Railway Survey Vehicle Scheduling ZENG Junhao, DENG Lianbo 2022, 25 (4):  158-164.  doi: 10.3969/j.issn.1007-7375.2022.04.019 Abstract ( 1162 )   HTML ( 7 )   PDF (834KB) ( 3819 )   Save In view of the current situation that the predominant method of railway survey vehicle scheduling is that the driver responds to the surveyors to realize picking and sending, which leads to a long waiting time. A study is conducted on how to build a reasonable vehicle scheduling optimization model to realize the balance and collaborative optimization of workload distribution and to generalize survey cost for the sake of providing the optimal transportation organization guarantee for the survey work. According to the traveling characteristics of survey vehicles, the extended network of picking and sending is used to describe the optimization problem of survey vehicle scheduling. On this basis, the bi-level programming model of vehicle scheduling is established considering the interests of decision makers and drivers. The upper model ensures the most balanced distribution of generalized survey cost, and the lower one solves the multi-vehicle routing model with picking and sending. The case study shows that the generalized survey cost based on the bi-level programming model of survey vehicle scheduling is reduced by 18.0% compared with the current reactive scheduling method, which verifies the effectiveness of the model and algorithm. References | Related Articles | Metrics

A Research on Coordination Strategy of Carbon Emission Reduction in Three-level Supply Chain Based on Differential Game NIE Xiuwu, YAO Jinxin, DING Minglei 2022, 25 (4):  165-172.  doi: 10.3969/j.issn.1007-7375.2022.04.020 Abstract ( 1339 )   HTML ( 70 )   PDF (821KB) ( 3877 )   Save In the context of a low-carbon economy, in order to achieve supply chain coordination under different cooperation mechanisms, a three-level supply chain composed of suppliers, manufacturers, and retailers is used as the research object, and the game theory method is used to find that the game subject under the Nash equilibrium emission reduction strategy in the three mechanisms of non-cooperation, cost sharing and coordination and cooperation. The equilibrium results and optimal profit values under these three mechanisms are compared. The results show that under the cooperative mechanism, each game player has a higher degree of emission reduction efforts, and the cooperative decision-making of product emission reduction and profit optimal value is also superior to non-cooperative and cost-sharing mechanisms. References | Related Articles | Metrics