Publication Type

Conference Proceeding Article

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

Research Areas

Intelligent Systems and Decision Analytics

Publication

35th Meeting of the Decision Sciences Institute (DSI)

First Page

1911

Last Page

1917

City or Country

Boston, USA

Additional URL

http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.65.4686