An enhanced memetic algorithm for energy-efficient and low-carbon flexible job shop scheduling problem considering machine restart

IF 12.2 1区 工程技术 Q1 ENGINEERING, INDUSTRIAL
Wentao Wang, Jing Zhao
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引用次数: 0

Abstract

The technological advancements of Industry 5.0 place greater emphasis on environmental sustainability and resilience for production scheduling. The flexible job shop scheduling problem (FJSP) effectively adapts to complex production environments and diverse scheduling requirements, which has made it an essential tool for studying modern production scenarios. Against this backdrop, this paper proposes an energy-efficient and low-carbon flexible job shop scheduling problem considering machine restart (ELFJSP-MR), aiming to minimize the makespan and total carbon emissions of the system. To solve ELFJSP-MR, we present an enhanced memetic algorithm (EMA) and design machine restart strategy to balance energy consumption and equipment lifespan. A multi-population hybrid model initialization based on logistic population growth model is used to enhance initial population diversity. Two novel neighborhood search methods are developed to improve convergence speed and explore the solution space more thoroughly. To enhance the flexibility and efficiency of local search, an adaptive operator selection model is designed. Finally, EMA and four well-known algorithms are evaluated on various benchmark problem instances. Experimental results demonstrate that EMA achieves faster convergence and greater stability for ELFJSP-MR. Furthermore, EMA exhibits exceptional performance across eight instances of aerospace composite material processing.
考虑机器重启的节能低碳柔性作业车间调度问题的改进模因算法
工业5.0的技术进步更加强调环境的可持续性和生产调度的弹性。柔性作业车间调度问题(FJSP)能有效适应复杂的生产环境和多样化的调度需求,是研究现代生产场景的重要工具。在此背景下,本文提出了一种考虑机器重启的节能低碳柔性作业车间调度问题(ELFJSP-MR),以最小化系统的完工时间和总碳排放量为目标。为了解决ELFJSP-MR问题,我们提出了一种增强模因算法(EMA),并设计了机器重启策略,以平衡能耗和设备寿命。采用基于logistic种群增长模型的多种群混合模型初始化来增强初始种群多样性。提出了两种新的邻域搜索方法,提高了收敛速度,更深入地探索了解空间。为了提高局部搜索的灵活性和效率,设计了自适应算子选择模型。最后,在各种基准问题实例上对EMA和四种知名算法进行了评估。实验结果表明,EMA对ELFJSP-MR具有更快的收敛速度和更高的稳定性。此外,EMA在航空航天复合材料加工的八个实例中表现出卓越的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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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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