Joint decision model of supplier selection and order allocation for the mass customization of logistics services

•This paper considers the SSOA problem under the MC logistics service mode.•This paper considers the satisfaction of all members in the logistics supply chain.•An improved GA is designed to solve the nonlinear mixed integer programming model. This paper formulates a multi-objective mixed-integer non...

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Bibliographic Details
Published in:Transportation research. Part E, Logistics and transportation review Logistics and transportation review, 2018-12, Vol.120, p.76-95
Main Authors: Hu, Xiaojian, Wang, Guanxiong, Li, Xiaozheng, Zhang, Yue, Feng, Shuai, Yang, Aifeng
Format: Article
Language:English
Subjects:
Genetic algorithms
Logistics service supply chain
Mass customization
Supplier selection and order allocation
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Summary:•This paper considers the SSOA problem under the MC logistics service mode.•This paper considers the satisfaction of all members in the logistics supply chain.•An improved GA is designed to solve the nonlinear mixed integer programming model. This paper formulates a multi-objective mixed-integer nonlinear programming model to simultaneously determine the optimal selection strategy of functional logistics service providers and the order allocation strategy under the mass customization of logistics services. An improved genetic algorithm based on multi-layer coding is designed to solve the model. Numerical experiments show that the supplier selection strategy and the order allocation strategy are mutually influential, therefore, decision makers need to consider both simultaneously to optimize the overall performance of the supply chain. The influence of some important parameters on the model results was observed through a sensitivity analysis.
ISSN:1366-5545
1878-5794
DOI:10.1016/j.tre.2018.10.011