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

Xiaojian Hu, Guanxiong Wang, Xiaozheng Li, Yue Zhang, Shuai Feng and Aifeng Yang

Transportation Research Part E: Logistics and Transportation Review, 2018, vol. 120, issue C, 76-95

Abstract: 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.

Keywords: Mass customization; Supplier selection and order allocation; Logistics service supply chain; Genetic algorithms (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (9)

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DOI: 10.1016/j.tre.2018.10.011

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