Abstract

Timely and cost-effective acquisition of spare parts at post product life cycle (PPLC) is a challenging task due to limited supply of new spare parts. The most commonly used solution to this problem is the placement of a final order in the beginning of PPLC. Another alternative is the use of disassembled parts from End of Life (EOL) products. In this study, we consider both alternatives at the same time. First, a detailed discrete event simulation (DES) model of a disassembly line is developed. Then, a Genetic Algorithm (GA) is integrated with the DES model for the optimization of Final Order Quantities (FOQs) for critical spare parts.

Notes

Originally published in the Proceedings of the 2009 Northeast Decision Sciences Institute Conference, Uncasville, CT, April 1-3, 2009 (CD-ROM)

Keywords

end-of-life processing, post product life cycle, spare parts inventory management

Disciplines

Industrial Engineering | Mechanical Engineering

Publisher

Northeast Decision Sciences Institute

Publication Date

2009

Rights Information

Copyright 2009, Surendra M. Gupta

Rights Holder

Surendra M. Gupta

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