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Article type: Research Article
Authors: Ning, Taoa; * | Gou, Taoa | Zhang, Pengb
Affiliations: [a] Institute of Software, Dalian Jiaotong University, Dalian | [b] Innovation Entrepreneurship Institute of Education, Dalian Jiaotong University, Dalian
Correspondence: [*] Corresponding author. Tao Ning, Institute of Software, Dalian Jiaotong University, Dalian 116021. E-mail: daliannt@mail.dlut.edu.cn.
Abstract: Focus on the distribution vehicle scheduling problem under travel time delay, a series of rescue modes generalized from practical vehicle planner’ experiences were presented. The measurement method of value function based on prospect theory and the disruption management strategy of customer’s psychological perception are put forward in this paper. A multi-objective optimization model for disruption management of logistics distribution is established through multi-objective programming at first. Next, the idea of gradual optimization for the target to obtain the terminal logistics distribution adjustment scheme with minimum disturbance is introduced. Acting the customer’s psychological perception time as the reference point, the degree of the customer’s psychological perception of the expected time of goods is measured with the prospect theory. In order to optimize the disruption management model and search the optimum solution of multi-objective optimization problem, an improved quantum bacterial foraging algorithm is proposed. The effectiveness and practicability of the proposed method is verified through the comparison and analysis with rescheduling method.
Keywords: Travel time delay, terminal logistics, disruption management, psychological perception, prospect theory
DOI: 10.3233/JIFS-190916
Journal: Journal of Intelligent & Fuzzy Systems, vol. 37, no. 6, pp. 8371-8379, 2019
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