Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/87407
Title: Spare-part demand forecasting in large-size fleet scenarios
Authors: Chee, S.Y.J.
See, C.T.
Poh, K.L. 
Keywords: Multi-population
Reliability
Weibull distribution
Issue Date: 2006
Citation: Chee, S.Y.J.,See, C.T.,Poh, K.L. (2006). Spare-part demand forecasting in large-size fleet scenarios. 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006 : 2880-2889. ScholarBank@NUS Repository.
Abstract: In many operational fleets, differences in field operating conditions, usage intensity and product inception time often result in a spread of equipment ages. While the case of homogenous equipment failure characteristic has been popular, it is not appropriate in many military systems, where deployment of the fleet is dispersed over a multiplicity of operating environment. In this paper we propose a demand forecasting system for spare-parts management in large-scale fleet scenarios with substantial variability in equipment reliability. Our model is based on multi-population mixture of Weibull failure distributions.
Source Title: 36th International Conference on Computers and Industrial Engineering, ICC and IE 2006
URI: http://scholarbank.nus.edu.sg/handle/10635/87407
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