 Dynamic planning method of product multimodal logistics transportation pathYulong Wan and Xinchun Li International Journal of Manufacturing Technology and Management, 2022, vol. 36, issue 2/3/4, 241-256 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. (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:ids:ijmtma:v:36:y:2022:i:2/3/4:p:241-256 Access Statistics for this article More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.