Title: Research on distributed logistics scheduling method for workshop production based on hybrid particle swarm optimisation

Authors: Liu Liu; Xiangli Xu

Addresses: College of Business, Chongqing City Management College, Chongqing 401331, China ' Department of Automation and Information Engineering, Ordos Vocational College, Ordos 017010, China

Abstract: In order to overcome the problem of fuzzy priority of distributed logistics scheduling, this paper proposes a distributed scheduling method for workshop production logistics based on hybrid particle swarm optimisation. This method introduces radio frequency identification (RFID) technology designs, analyses RFID application structure, and collects production process data of the workshop. Based on the satisfaction of task completion time and delivery time, total production input cost, and equipment utilisation, etc. the optimal construction logistics distributed scheduling model is constructed, and the particle swarm algorithm and genetic algorithm are used to solve the target model, and the particle position. The sequence of the strings in the vector is described as the scheduling priority. The decision-making layer selects the best scheduling solution based on actual requirements. Experimental results show that this method can effectively control the cost and time of scheduling, and its performance is better than the current method.

Keywords: workshop production; logistics; distributed scheduling; intelligent manufacturing.

DOI: 10.1504/IJMTM.2021.118805

International Journal of Manufacturing Technology and Management, 2021 Vol.35 No.3, pp.234 - 250

Received: 29 Oct 2019
Accepted: 29 Sep 2020
Published online: 08 Nov 2021 *

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