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No-Idle Flowshop Scheduling for Energy-Efficient Production: An Improved Optimization Framework
Mathematics ( IF 1.747 ) Pub Date : 2021-06-09 , DOI: 10.3390/math9121335
Chen-Yang Cheng, Shih-Wei Lin, Pourya Pourhejazy, Kuo-Ching Ying, Yu-Zhe Lin

Production environment in modern industries, like integrated circuits manufacturing, fiberglass processing, steelmaking, and ceramic frit, is characterized by zero idle-time between inbound and outbound jobs on every machine; this technical requirement improves energy efficiency, hence, has implications for cleaner production in other production situations. An exhaustive review of literature is first conducted to shed light on the development of no-idle flowshops. Considering the intractable nature of the problem, this research also develops an extended solution method for optimizing the Bi-objective No-Idle Permutation Flowshop Scheduling Problem (BNIPFSP). Extensive numerical tests and statistical analysis are conducted to evaluate the developed method, comparing it with the best-performing algorithm developed to solve the BNIPFSP. Overall, the proposed extension outperforms in terms of solution quality at the expense of a longer computational time. This research is concluded by providing suggestions for the future development of this understudied scheduling extension.

中文翻译:

用于节能生产的无空闲流水车间调度:改进的优化框架

集成电路制造、玻璃纤维加工、炼钢、陶瓷熔块等现代工业生产环境的特点是每台机器的入库和出库工作之间的空闲时间为零;这项技术要求提高了能源效率,因此对其他生产情况下的清洁生产有影响。首先对文献进行详尽的回顾,以阐明无闲置流水车间的发展。考虑到该问题的棘手性,本研究还开发了一种扩展求解方法,用于优化双目标无空闲置换流水车间调度问题 (BNIPFSP)。进行了广泛的数值测试和统计分析来评估所开发的方法,并将其与为解决 BNIPFSP 开发的最佳性能算法进行比较。全面的,所提出的扩展在解决方案质量方面的表现优于以更长的计算时间为代价。本研究的结论是为这个未充分研究的调度扩展的未来发展提供建议。
更新日期:2021-06-10
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