系统仿真学报 ›› 2020, Vol. 32 ›› Issue (11): 2272-2281.doi: 10.16182/j.issn1004731x.joss.20-FZ0334

• 国民经济仿真 • 上一篇    下一篇

双驱动式废弃品逆向供应链激励机制仿真

孙冬石1, 谢旦岚1, 关峰2, 纪媛3   

  1. 1.大连东软信息学院,信息与商务管理学院,辽宁大连 116023;
    2.沈阳建筑大学,商学院,辽宁沈阳 110168;
    3.大连海事大学,辽宁大连 116026
  • 收稿日期:2020-06-10 修回日期:2020-07-20 出版日期:2020-11-18 发布日期:2020-11-17
  • 作者简介:孙冬石(1982-),男,辽宁锦州,硕士,讲师,研究方向为供应链服务创新;谢旦岚(1992-),女,浙江绍兴,硕士,讲师,研究方向为供应链管理、系统仿真。
  • 基金资助:
    教育部人文社科青年项目(20YJC630127)

Simulation of Incentive Mechanism Simulation on Reverse Supply Chain of Waste Products Based on Dual Drive

Sun Dongshi1, Xie Danlan1, Guan Feng2, Ji Yuan3   

  1. 1. College of information and business management,Dalian Neusoft University of Information,Dalian 116023,China;
    2. Business College,Shenyang Jianzhu University,Shenyang 110168,China;
    3. Dalian Maritime University,Dalian 116026,China
  • Received:2020-06-10 Revised:2020-07-20 Online:2020-11-18 Published:2020-11-17

摘要: 针对废弃品逆向供应链各主体由于收益不同导致协调失灵的现状,构建了基于系统动力学的居民、垃圾处理机构和生产企业三方演化博弈模型。使用Vensim仿真软件建立以三方策略选择概率为水平变量的存量流量图,在外生变量为常数和存在时间趋势的情况下,分别进行仿真,得出在无外界干扰情况下三方主体的策略演化路径。通过灵敏度分析,找出对主体策略产生主要影响的外生变量,并据此设计由垃圾分类驱动,市场机制拉动的双驱动式供应链激励机制。

关键词: 废弃品, 逆向供应链, 激励机制, 仿真, 垃圾分类

Abstract: In view of the current situation of coordination failure caused by different benefits of different entities in the waste reverse supply chain, based on system dynamics, a three-party evolutionary game model of residents, waste disposal institutions and production enterprises is constructed. Vensim simulation software is used to establish the stock-flow chart with the strategy selection probability as the horizontal variable. In the two cases of exogenous variable in constant and a time-trend, the simulation is carried out separately, and the strategy evolution path of the three parties is obtained without external interference. Through sensitivity analysis, the exogenous variables having a major impact on the main strategy is fixed, and a dual-drive supply chain incentive mechanism driven by garbage classification and market mechanism is designed.

Key words: waste products, reverse supply chain, incentive mechanism, simulation, waste classification

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