 Research on distributed logistics scheduling method for workshop production based on hybrid particle swarm optimisationLiu Liu and Xiangli Xu International Journal of Manufacturing Technology and Management, 2021, vol. 35, issue 3, 234-250 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. (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:35:y:2021:i:3:p:234-250 Access Statistics for this article More articles in International Journal of Manufacturing Technology and Management from Inderscience Enterprises Ltd |
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