A multi-objective brain storm optimization for integrated distributed flexible job shop and distribution problems

• Published in: Heliyon Vol. 10; no. 16; p. e36318
• Main Authors: Jia, Yanhe, Zhou, Yaoyao, Fu, Yaping
• Format: Journal Article
• Language: English
• Published: England Elsevier Ltd 30.08.2024; Elsevier
• Subjects: Brain storm optimization; Distributed flexible job shop; Integrated production and distribution scheduling; Vehicle routing problem; Distributed flexible job shop; Vehicle routing problem; Brain storm optimization; Integrated production and distribution scheduling
• ISSN: 2405-8440; 2405-8440
• DOI: 10.1016/j.heliyon.2024.e36318

Production and distribution are critical components of the furniture supply chain, and achieving optimal performance through their integration has become a vital focus for both the academic and business communities. Moreover, as economic globalization progresses, distributed manufacturing has become a pioneering production technique. Via leveraging a distributed flexible manufacturing system, mass flexible production at lower costs can be achieved. To this end, this study presents an integrated distributed flexible job shop and distribution problem to minimize makespan and total tardiness. In our research, a set of custom furniture orders from different customers are processed among flexible job shops and then delivered by vehicles to customers as the due date. To distinctly show the presented problem, a mixed integer mathematical programming model is created, and a multi-objective brain storm optimization method is introduced considering the problem's features. In comparison to the other three advanced methods, the superiority of the algorithm created is showcased. The findings of the experiments demonstrate that the constructed model and the introduced algorithm have remarkable competitiveness in addressing the problem being examined.