A dynamic artificial bee colony for fuzzy distributed energy-efficient hybrid flow shop scheduling with batch processing machines

IF 12.2 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL Journal of Manufacturing Systems Pub Date : 2024-11-27 DOI:10.1016/j.jmsy.2024.10.019
Jing Wang , Deming Lei , Debiao Li , Xixing Li , Hongtao Tang
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Abstract

Distributed energy-efficient hybrid flow shop scheduling problem (DEHFSP) with batch processing machines (BPMs) is rarely considered, let alone DEHFSP with BPMs and uncertainty. In this study, a fuzzy DEHFSP with BPMs at a middle stage and no precedence between some stages is presented, and a dynamic artificial bee colony (DABC) is proposed to simultaneously optimize the total agreement index, fuzzy makespan, and fuzzy total energy consumption. To produce high quality solutions, Metropolis criterion is used, dynamic employed bee phase based on neighborhood structure dynamic selection is implemented, and group-based onlooker bee phase with bidirectional communication is given. Migration operator is also adopted to replace scout bee phase. Extensive experiments are conducted, and the optimal combination of key parameters for DABC is decided by the Taguchi method. Comparative results and statistical analysis show that new strategies of DABC are effective, and DABC is highly competitive in solving the considered fuzzy DEHFSP.
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用于批量处理机的模糊分布式节能混合流程车间调度的动态人工蜂群
带有批量处理机(BPM)的分布式节能混合流程车间调度问题(DEHFSP)很少被考虑,更不用说带有BPM和不确定性的DEHFSP了。本研究提出了一种在中间阶段有 BPM,且某些阶段之间没有优先级的模糊 DEHFSP,并提出了一种动态人工蜂群(DABC)来同时优化总协议指数、模糊有效期和模糊总能耗。为了产生高质量的解决方案,使用了 Metropolis 准则,实现了基于邻域结构动态选择的动态受雇蜜蜂阶段,并给出了具有双向通信功能的基于群的旁观蜜蜂阶段。此外,还采用了迁移算子来替代侦察蜜蜂阶段。进行了广泛的实验,并通过田口方法确定了 DABC 关键参数的最佳组合。比较结果和统计分析表明,DABC 的新策略是有效的,而且 DABC 在解决所考虑的模糊 DEHFSP 时具有很强的竞争力。
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来源期刊
Journal of Manufacturing Systems
Journal of Manufacturing Systems 工程技术-工程:工业
CiteScore
23.30
自引率
13.20%
发文量
216
审稿时长
25 days
期刊介绍: The Journal of Manufacturing Systems is dedicated to showcasing cutting-edge fundamental and applied research in manufacturing at the systems level. Encompassing products, equipment, people, information, control, and support functions, manufacturing systems play a pivotal role in the economical and competitive development, production, delivery, and total lifecycle of products, meeting market and societal needs. With a commitment to publishing archival scholarly literature, the journal strives to advance the state of the art in manufacturing systems and foster innovation in crafting efficient, robust, and sustainable manufacturing systems. The focus extends from equipment-level considerations to the broader scope of the extended enterprise. The Journal welcomes research addressing challenges across various scales, including nano, micro, and macro-scale manufacturing, and spanning diverse sectors such as aerospace, automotive, energy, and medical device manufacturing.
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