Publication Type
Conference Proceeding Article
Version
publishedVersion
Publication Date
11-2004
Abstract
Successful military mission planning and execution depend critically on equipment serviceability and resupply. Due to the stochastic nature of demands, the forecast of optimal spares and resources needed to guarantee the level of serviceability is a complex problem, especially in a multi-echelon setting. In this paper, we propose a decision-support concept and software tool known as Corrective Maintenance Optimizer (CMO) that helps to optimize system availability, through proper allocation of spare parts, both strategically and operationally.
Discipline
Artificial Intelligence and Robotics | Business | Operations Research, Systems Engineering and Industrial Engineering
Publication
35th Meeting of the Decision Sciences Institute (DSI)
First Page
1911
Last Page
1917
City or Country
Boston, USA
Citation
LAU, Hoong Chuin; Neo, K. Y.; and Wan, W. C..
Corrective Maintenance Optimization in an Air Force. (2004). 35th Meeting of the Decision Sciences Institute (DSI). 1911-1917.
Available at: https://ink.library.smu.edu.sg/sis_research/1132
Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-No Derivative Works 4.0 International License.
Additional URL
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.4686
Included in
Artificial Intelligence and Robotics Commons, Business Commons, Operations Research, Systems Engineering and Industrial Engineering Commons