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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。
Aiming at the characteristics of perishable food supply chain network, considering transport speed and corruption rate, a mixed integer non-linear (MINLP) model was established and solved by YALMIP software to minimize the total cost of the entire supply chain and maximize carbon emissions Less purpose. Finally, the feasibility of the model is proved by an example. The results show that the carbon emissions are related to the vehicle speed and the optimal transportation speed of the vehicles. And the sensitivity analysis is used to reveal the impact of changes in the carbon unit price and the corruption rate on the whole supply chain.