Disruption management strategy of terminal logistics under accidental travel time delay based on prospect theory

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.