Publication Type
Journal Article
Version
publishedVersion
Publication Date
5-2007
Abstract
In manufacturing control, machine scheduling research has mostly dealt with problems either without maintenance or with deterministic maintenance when no failure can occur. This can be unrealistic in practical settings. In this work, an experimental model is developed to evaluate the effect of corrective and preventive maintenance schemes on scheduling performance in the presence of machine failure where the scheduling objective is to minimize schedule duration. We show that neither scheme is clearly superior, but that the applicability of each depends on several system parameters as well as the scheduling environment itself. Further, we show that parameter values can be chosen for which preventive maintenance does better than corrective maintenance. The results provided in this study can be useful to practitioners and to system or machine administrators in manufacturing and elsewhere.
Keywords
Experiments, Machine scheduling, Maintenance, Manufacturing control
Discipline
Operations and Supply Chain Management
Research Areas
Operations Management
Publication
Mathematical and Computer Modeling
Volume
45
Issue
9-10
First Page
1067
Last Page
1080
ISSN
0895-7177
Identifier
10.1016/j.mcm.2006.09.018
Publisher
Elsevier
Citation
GUO, Yunsong; LIM, Andrew; RODRIGUES, Brian; and YU, Shuang.
Machine Scheduling Performance with Maintenance and Failure. (2007). Mathematical and Computer Modeling. 45, (9-10), 1067-1080.
Available at: https://ink.library.smu.edu.sg/lkcsb_research/557
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
https://doi.org/10.1016/j.mcm.2006.09.018