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Proceedings Paper

Impact of different disassembly line balancing algorithms on the performance of dynamic kanban system for disassembly line
Author(s): Elif A. Kizilkaya; Surendra M. Gupta
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Paper Abstract

In this paper, we compare the impact of different disassembly line balancing (DLB) algorithms on the performance of our recently introduced Dynamic Kanban System for Disassembly Line (DKSDL) to accommodate the vagaries of uncertainties associated with disassembly and remanufacturing processing. We consider a case study to illustrate the impact of various DLB algorithms on the DKSDL. The approach to the solution, scenario settings, results and the discussions of the results are included.

Paper Details

Date Published: 7 November 2005
PDF: 8 pages
Proc. SPIE 5997, Environmentally Conscious Manufacturing V, 59970D (7 November 2005); doi: 10.1117/12.631371
Show Author Affiliations
Elif A. Kizilkaya, Northeastern Univ. (United States)
Surendra M. Gupta, Northeastern Univ. (United States)


Published in SPIE Proceedings Vol. 5997:
Environmentally Conscious Manufacturing V
Surendra M. Gupta, Editor(s)

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