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.
disassembly line balancing (DLB), Dynamic Kanban System for Disassembly Line (DKSDL), disassembly processing, remanufacturing processing
Copyright 2005, Society of Photo-Optical Instrumentation Engineers
This paper was published in Proceedings of SPIE (Volume 5997) and is made available as an electronic reprint with permission of SPIE. One print or electronic copy may be made for personal use only. Systematic or multiple reproduction, distribution to multiple locations via electronic or other means, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.
Society of Photo-Optical Instrumentation Engineers
Gupta, Surendra M. and Kizilkaya, Elif A., "Impact of different disassembly line balancing algorithms on the performance of dynamic kanban system for disassembly line" (2005). . Paper 65. http://hdl.handle.net/2047/d10009899
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