TY - GEN
T1 - Selective disassembly and simultaneous end-of-life decision making for multiple products
AU - Behdad, Sara
AU - Kwak, Minjung
AU - Kim, Harrison Hyung Min
AU - Thurston, Deborah L
PY - 2010
Y1 - 2010
N2 - Environmental protection legislation, consumer interest in "green" products, a trend towards corporate responsibility and recognition of the potential profitability of salvaging operations have resulted in increased interest in product take- back. However, the cost-effectiveness of product take-back operations is hampered by many factors, including the high cost of disassembly and a widely varying feedstock of dissimilar products. Two types of decisions must be made; how to carry out the disassembly process in the most efficient manner to "mine" the value-added that is still embedded in the product, and then how to best utilize that value-added once it is recovered. This paper presents a method for making those decisions. The concept of a transition matrix is integrated with mixed integer linear programming to determine the extent to which products should be disassembled, and simultaneously determine the optimal end of life (EOL) strategy for each resultant component or subassembly. The main contribution of this paper is the simultaneous consideration of selective disassembly, multiple products, and the value added that remains in each component or subassembly. Shared disassembly operations and capacity limits are considered. An example using two cell phone products illustrates application of the model.
AB - Environmental protection legislation, consumer interest in "green" products, a trend towards corporate responsibility and recognition of the potential profitability of salvaging operations have resulted in increased interest in product take- back. However, the cost-effectiveness of product take-back operations is hampered by many factors, including the high cost of disassembly and a widely varying feedstock of dissimilar products. Two types of decisions must be made; how to carry out the disassembly process in the most efficient manner to "mine" the value-added that is still embedded in the product, and then how to best utilize that value-added once it is recovered. This paper presents a method for making those decisions. The concept of a transition matrix is integrated with mixed integer linear programming to determine the extent to which products should be disassembled, and simultaneously determine the optimal end of life (EOL) strategy for each resultant component or subassembly. The main contribution of this paper is the simultaneous consideration of selective disassembly, multiple products, and the value added that remains in each component or subassembly. Shared disassembly operations and capacity limits are considered. An example using two cell phone products illustrates application of the model.
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U2 - 10.1115/DETC2009-87405
DO - 10.1115/DETC2009-87405
M3 - Conference contribution
AN - SCOPUS:77953776648
SN - 9780791849057
T3 - Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009
SP - 313
EP - 321
BT - Proceedings of the ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference 2009, DETC2009
T2 - 2009 ASME International Design Engineering Technical Conferences and Computers and Information in Engineering Conference, DETC2009
Y2 - 30 August 2009 through 2 September 2009
ER -