Planning the location of facilities in the supply chain using the firefly meta-innovation algorithm

IF 1.8 Q3 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE Foundations of Computing and Decision Sciences Pub Date : 2022-12-01 DOI:10.2478/fcds-2022-0024
Sayed Ahmad Shayannia
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Abstract

Abstract Analysis of supply chain location issues and decision-making regarding the location of facilities in the supply chain is one of the most important issues in the decision-making of governments, organizations and companies. Undoubtedly, the correct location of facilities has very important effects on economic benefits, providing appropriate services and customer satisfaction. Supply chain issue is one of the most widely used issues in today’s competitive world and location issues are among the most used issues in designing supply chain networks to improve and reduce costs and increase competitiveness. The facilities under consideration include warehouses and distribution centers, which have been solved with the aim of reducing transportation costs. And then the two methods are compared. The problem is solved in small, medium and large dimensions and finally it was concluded that the firefly algorithm had a better performance than the genetic algorithm.
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使用萤火虫元创新算法规划供应链中的设施位置
摘要供应链选址问题的分析和供应链中设施选址的决策是政府、组织和公司决策中最重要的问题之一。毫无疑问,设施的正确位置对经济效益、提供适当的服务和客户满意度有着非常重要的影响。供应链问题是当今竞争世界中使用最广泛的问题之一,而位置问题是设计供应链网络以提高和降低成本并提高竞争力时使用最多的问题之一。考虑中的设施包括仓库和配送中心,这些设施已得到解决,目的是降低运输成本。然后对这两种方法进行了比较。在小、中、大三个维度上对该问题进行了求解,最终得出萤火虫算法比遗传算法具有更好的性能的结论。
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来源期刊
Foundations of Computing and Decision Sciences
Foundations of Computing and Decision Sciences COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE-
CiteScore
2.20
自引率
9.10%
发文量
16
审稿时长
29 weeks
期刊最新文献
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