Short-term decision support system for maintenance task prioritization |
| |
Authors: | Lin Li Jun Ni |
| |
Institution: | aDepartment of Mechanical Engineering, University of Michigan—Ann Arbor, 1035 H.H. Dow, 2300 Hayward Street, Ann Arbor, MI 48109-2136, USA;bDepartment of Mechanical Engineering, University of Michigan—Ann Arbor, 1023 H.H. Dow, 2300 Hayward Street, Ann Arbor, MI 48109-2136, USA |
| |
Abstract: | Maintenance operations have a direct influence on production performance in manufacturing systems. Short-term production analysis is imperative to enable manufacturing operations to optimally respond to dynamic changes in the system behavior. However, most of the conventional decision support systems for production and maintenance focus on long-term statistic analysis, which is usually not applicable to a short-term period. Maintenance task prioritization is crucial and important for short-term analysis to reduce unnecessary or improper maintenance activities, especially when availability of maintenance resources is limited. The existing methods for maintenance priority assignment are often through heuristic methods or experience, which could cause unscheduled downtime and production losses. In this paper, a short-term decision support system for maintenance task prioritization based on the system operating conditions is introduced. The impact factor for priority assignment is obtained theoretically. A case study based on the simulation of an automotive assembly line illustrates that the proposed short-term system improves the system performance with a lower cost than the long-term method. |
| |
Keywords: | Short term Maintenance task prioritization Data driven bottleneck detection Maintenance opportunity window |
本文献已被 ScienceDirect 等数据库收录! |
|