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

Abstract

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

ZHANG Tianxia， LI Hui. Optimizing Perishable Food Supply Chain Network Considering Vehicle Speed and Carbon Emission[J]. Industrial Engineering Journal .

References

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