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考虑运输速度和碳排放的易腐食品供应链网络优化研究

  

  1. (上海大学 管理学院,上海 200444)
  • 出版日期:2016-08-30 发布日期:2016-10-08
  • 作者简介: 章添霞(1990-),男, 浙江省人,硕士研究生,主要研究方向为低碳经济、低碳供应链.
  • 基金资助:

     国家自然科学基金资助项目(11471210; 11571222)

Optimizing Perishable Food Supply Chain Network Considering Vehicle Speed and Carbon Emission

  1. (School of Management, Shanghai University, Shanghai 200444, China)
  • Online:2016-08-30 Published:2016-10-08

摘要:

 针对易腐食品供应链网络的特征,将运输速度、腐败率考虑在内,建立了一个混合整数非线性(MINLP)模型,利用YALMIP软件求解以达到使整个供应链总成本最少和碳排放量尽量少的目的。最后,通过算例分析证明该模型的可行性,得出碳排放量与车速相关及车辆的最佳运输速度,并利用灵敏度分析,揭示碳单位价格和腐败率的变化对整个供应链的影响。

关键词:  , 碳排放, 易腐食品, 供应链网络, 可持续发展

Abstract:

 According to the characteristics of perishable food supply chain network, transport speed and corruption rates are taken into consideration, and a MINLP (mixed-integer nonlinear programming)model is developed to solve this supply chain optimization problem and YALMIP software is used to solve the model so as to minimize the total cost of the entire supply chain and carbon emissions as little as possible. Finally, a case of fresh vegetable transportation is studied to demonstrate the feasibility of the model. The results show that carbon emission is proportional to the speed of truck and the optimum speed of trucks. The sensitivity analysis shows that the change of carbon price and deteriorating rate influence the whole supply chain.

Key words: carbon emission, perishable food, supply chain network, sustainable development