Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
6897054 | European Journal of Operational Research | 2015 | 10 Pages |
Abstract
Nowadays, modern production patterns, such as batch production, have brought new challenges for multi-unit maintenance decision-making. The maintenance scheduling should not only consider individual machine deterioration, but also apply to batch production with variable lot size. An interactive bi-level maintenance strategy is thus proposed in a multi-unit batch production system with degrading machines. In the machine-level scheduling, a multi-attribute model (MAM) is used to obtain maintenance intervals according to individual machine degradation. In the system-level scheduling, a novel production-driven opportunistic maintenance strategy is developed by considering both machine degradation and characteristics of batch production. In this strategy, advance-postpone balancing (APB) utilizes set-up times as opportunities to make real-time schedules for system-level maintenance. The numerical example shows that the proposed MAM-APB methodology can efficiently eliminate unnecessary production breaks, achieve significant cost reduction and overcome complexity of system scheduling.
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Science (General)
Authors
Tangbin Xia, Xiaoning Jin, Lifeng Xi, Jun Ni,