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Performance Analysis and Optimization of Remanufacturing Systems With Stochastic Returns

[+] Author Affiliations
Guoxian Xiao, Stephan Biller

General Motors R&D Center, Warren, MI

Xiaoning Jin, Jun Ni, S. Jack Hu

University of Michigan, Ann Arbor, MI

Qing Chang

SUNY Stony Brook University, Stony Brook, NY

Paper No. MSEC2012-7383, pp. 1041-1047; 7 pages
doi:10.1115/MSEC2012-7383
From:
  • ASME 2012 International Manufacturing Science and Engineering Conference collocated with the 40th North American Manufacturing Research Conference and in participation with the International Conference on Tribology Materials and Processing
  • ASME 2012 International Manufacturing Science and Engineering Conference
  • Notre Dame, Indiana, USA, June 4–8, 2012
  • Conference Sponsors: Manufacturing Engineering Division
  • ISBN: 978-0-7918-5499-0
  • Copyright © 2012 by ASME and General Motors

abstract

This paper considers a modular product assembly and inventory planning and control problem in a remanufacturing environment. The return process of end-of-life product is a stochastic process in terms of arriving time, quality and quantity. We investigate the returned module reassembly policies in an assemble-to-order strategy. A threshold policy is considered to control the admission of the product returns and its effect on the trade-off between excessive inventory and stock out. We study how the control parameters in these strategies relate to the average inventory level and stock out level of the remanufacturable modules. Starting with a single quality grade problem, we extend the analysis to a multiple quality grade problem and derive exact expression of the system performance measures as function of the control parameters. Main objective of this paper is to provide managerial insights into decision-making for stochastic remanufacturing systems.

Copyright © 2012 by ASME and General Motors

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