This paper presents an analytical, option-based cost model for an integrated production and preventive maintenance decision making with stochastic demand. The determination of preventive maintenance times and their schedule during a production period is converted to an option problem through maximizing the profit of the production per unit time. The optimal number of preventive maintenance actions is obtained and some further discussions on how the cost parameters affect the optimal results are also derived. The resulting option-based model is found to add flexibility to the production system and thus reduce the risk of shortage when the production system is faced with stochastic demand. A comparisons between the basic model (without option) and the option-based preventive maintenance model has shown that the option model is a more flexible under demand uncertainty and results in at least as much profit as the basic one.
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ASME 2009 International Manufacturing Science and Engineering Conference
October 4–7, 2009
West Lafayette, Indiana, USA
Conference Sponsors:
- Manufacturing Engineering Division
ISBN:
978-0-7918-4362-8
PROCEEDINGS PAPER
Integrated Production and Preventive Maintenance Decision Making Using Option-Based Cost Model
Xiaoning Jin,
Xiaoning Jin
University of Michigan, Ann Arbor, MI
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Jun Ni
Jun Ni
University of Michigan, Ann Arbor, MI
Search for other works by this author on:
Xiaoning Jin
University of Michigan, Ann Arbor, MI
Lin Li
University of Michigan, Ann Arbor, MI
Jun Ni
University of Michigan, Ann Arbor, MI
Paper No:
MSEC2009-84083, pp. 535-540; 6 pages
Published Online:
September 20, 2010
Citation
Jin, X, Li, L, & Ni, J. "Integrated Production and Preventive Maintenance Decision Making Using Option-Based Cost Model." Proceedings of the ASME 2009 International Manufacturing Science and Engineering Conference. ASME 2009 International Manufacturing Science and Engineering Conference, Volume 2. West Lafayette, Indiana, USA. October 4–7, 2009. pp. 535-540. ASME. https://doi.org/10.1115/MSEC2009-84083
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