Impact of different disassembly line balancing algorithms on the performance of dynamic kanban system for disassembly line
Originally published in the Proceedings of the SPIE International Conference on Environmentally Conscious Manufacturing V, Boston, Massachusetts, pp. 103-110, October 23-24, 2005
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.
Surendra M. Gupta and Elif A. Kizilkaya. "Impact of different disassembly line balancing algorithms on the performance of dynamic kanban system for disassembly line" Gupta Publications (2005).
Available at: http://works.bepress.com/gupta/70