Authors: Yulong Wan; Xinchun Li
Addresses: School of Economics and Management, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China; School of Business, Jiangsu Vocational College of Electronics and Information, Huai'an, Jiangsu, 223003, China ' School of Economics and Management, China University of Mining and Technology, Xuzhou, Jiangsu, 221116, China
Abstract: In order to overcome the problems of low accuracy of optimal path selection and long time of path planning existing in traditional logistics transportation path planning method, this paper designs a dynamic logistics transportation path planning method for multimodal transportation of products. A comprehensive index system of multimodal logistics transportation is constructed and fuzzy mathematics method is used to extract uncertainty evaluation factors of product multimodal transportation. According to the extraction results of uncertainty evaluation factors, a dynamic path planning model is constructed, and the genetic algorithm is used to solve the model constructed, and the results of multimodal logistics transportation path planning of products are output. The experimental results show that the optimal path selection accuracy of the proposed method is always above 98%, and the average path planning time is 0.76 s. The path planning effect is good, and it can be further extended in practice.
Keywords: product multimodal transport; logistics transportation route; path dynamic planning; genetic algorithm.
International Journal of Manufacturing Technology and Management, 2022 Vol.36 No.2/3/4, pp.241 - 256
Received: 27 Jan 2021
Accepted: 03 Jun 2021
Published online: 23 Jun 2022 *