DocumentCode :
3266093
Title :
An integrated model and its extension for disassembly leveling and lot-sizing for multiple product types
Author :
Kang, Kyung-Wan ; Doh, Hyoung-Ho ; Park, Jung-Hyeon ; Lee, Dong-Ho
Author_Institution :
LSIS, Ltd., Cheongju, South Korea
fYear :
2011
fDate :
20-22 Dec. 2011
Firstpage :
756
Lastpage :
761
Abstract :
Disassembly leveling, one of disassembly process planning decisions, is to determine disassembly structures that specify parts/subassemblies to be obtained from used/end-of-life products, and disassembly lot-sizing is the problem of determining the amounts of disassembly operations required to satisfy the demands of their parts and/or subassemblies. In this study, we consider the two problems at the same time for the objective of minimizing the sum of disassembly setup and operation costs. In particular, we consider a generalized version in which disassembly levels may be different even for products of the same type. Two types of the problem are considered: (a) basic problem without parts commonality, i.e., products do not share their parts/subassemblies; and (b) extended problem with parts commonality. For the basic problem, a polynomial-time optimal algorithm is suggested after developing a mathematical programming model. Also, we show that the extended problem is NP-hard and then suggest a heuristic, together with its computational results.
Keywords :
assembling; computational complexity; lot sizing; optimisation; process planning; NP-hard; disassembly leveling; disassembly lot-sizing; disassembly process planning; disassembly structures; integrated model; multiple product types; polynomial-time optimal algorithm; Assembly; Computational modeling; Heuristic algorithms; Job shop scheduling; Linear programming; Process planning; Silicon;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Integration (SII), 2011 IEEE/SICE International Symposium on
Conference_Location :
Kyoto
Print_ISBN :
978-1-4577-1523-5
Type :
conf
DOI :
10.1109/SII.2011.6147543
Filename :
6147543
Link To Document :
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