再制造中敏捷混合拆卸系统的状态感知能力规划

IF 5.4 2区 工程技术 Q2 ENGINEERING, MANUFACTURING
Marco Wurster , Timon Feuerstein , Finn Bail , Marvin Carl May , Lihui Wang , Gisela Lanza
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引用次数: 0

摘要

废旧产品再制造在循环经济中至关重要,但面临着产品品种多样性高、产品状态多变等挑战,需要灵活的生产资源。灵活的混合拆卸系统,结合了手动和自动化资源,提供了一个解决方案。这些系统需要一种规划方法来有效地重新配置能力和结构。本文提出了一种前瞻性的状态感知容量规划方法,利用混合整数线性优化问题来调整系统容量,同时最小化成本。一个基于能力的框架对混合系统建模,考虑产品条件偏差。该系统在真实工业场景的数据基础上进行了测试,显示了基于状态感知规划的频繁重新配置的好处。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Condition-aware capacity planning for agile hybrid disassembly systems in remanufacturing
Remanufacturing of used products is essential in the circular economy but faces challenges like high variant diversity and varying product states, requiring flexible production resources. Agile hybrid disassembly systems, combining manual and automated resources, offer a solution. These systems need a planning methodology to reconfigure capacity and structure effectively. This work proposes a foresighted condition-aware capacity planning method, using a mixed-integer linear optimization problem to adjust system capacity while minimizing costs. A capability-based framework models the hybrid system, considering product condition deviations. The system, tested on data grounded in a real industrial scenario, shows the benefits of frequent reconfiguration based on condition-aware planning.
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来源期刊
CIRP Journal of Manufacturing Science and Technology
CIRP Journal of Manufacturing Science and Technology Engineering-Industrial and Manufacturing Engineering
CiteScore
9.10
自引率
6.20%
发文量
166
审稿时长
63 days
期刊介绍: The CIRP Journal of Manufacturing Science and Technology (CIRP-JMST) publishes fundamental papers on manufacturing processes, production equipment and automation, product design, manufacturing systems and production organisations up to the level of the production networks, including all the related technical, human and economic factors. Preference is given to contributions describing research results whose feasibility has been demonstrated either in a laboratory or in the industrial praxis. Case studies and review papers on specific issues in manufacturing science and technology are equally encouraged.
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