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Proceedings Paper

Remanufacturing control in multistage systems with stochastic recovery rates
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Paper Abstract

Remanufacturing operations involved with highly uncertain recovery rate of used products, subassemblies and parts that complicate the planning and control of the process. In this paper, we develop a comprehensive procedure that determines the optimal input quantities at each stage of the remanufacturing operations in which recovery rates at each stage of the process are stochastic. We model the remanufacturing system as an open queueing network and use the decomposition principle and expansion methodology to analyze it. Each station in the system is subject to breakdown and has a finite buffer capacity. Repair times, breakdown times and service times follow exponential distributions. Optimization is done on the system’s expected total cost using a dynamic programming (DP) algorithm. A numerical example is presented to show the applicability of the model.

Paper Details

Date Published: 8 December 2004
PDF: 10 pages
Proc. SPIE 5583, Environmentally Conscious Manufacturing IV, (8 December 2004); doi: 10.1117/12.580418
Show Author Affiliations
Hasan Kivanc Aksoy, Osmangazi Univ. (Turkey)
Surendra M. Gupta, Northeastern Univ. (United States)

Published in SPIE Proceedings Vol. 5583:
Environmentally Conscious Manufacturing IV
Surendra M. Gupta, Editor(s)

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