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Integrated Predictive-Maintenance and MPC Scheduling: Achieving High Availability in Smart Manufacturing

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成果类型:
期刊论文
作者:
Yingqi Zhang;Wenbo Xiao;Yao Bi
作者机构:
[Yingqi Zhang] School of Architecture and Design, Hunan University of Science and Technology, Xiangtan, Hunan, China
[Wenbo Xiao] School of Materials Science and Engineering, Central South University of Forestry and Technology, Changsha, Hunan, China
[Yao Bi] School of Furniture and Art Design, Central South University of Forestry and Technology, Changsha, Hunan, China
语种:
英文
期刊:
IEEE ACCESS
ISSN:
2169-3536
年:
2025
卷:
13
页码:
177694-177705
机构署名:
本校为其他机构
院系归属:
材料科学与工程学院
家具与艺术设计学院
摘要:
Open-shop scheduling in smart manufacturing requires both rapid rescheduling and high equipment availability. However, most model predictive control (MPC) schedulers assume perfect machine reliability. This leaves predictive maintenance (PdM) as an external problem, separate from the dispatcher’s control. This paper introduces a degradation-aware MPC (D-MPC) for unrestricted open shops. Our approach makes Remaining Useful Life (RUL)-triggered maintenance an internal endogenous part of the scheduling decision. We use a two-level architecture. T...

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