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Automatic derivation of transition matrix for end-of-life decision making

Cited 14 time in Web of Science Cited 16 time in Scopus
Authors

Kang, Chang Muk; Kwak, Min Jung; Hong, Yoo Suk; Cho, Nam Wook

Issue Date
2010
Publisher
TAYLOR & FRANCIS LTD
Citation
INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH; Vol.48 11; 3269-3298
Keywords
end-of-life treatmenttransition matrixdisassembly planningproduct architectureprecedence graphconnection graph
Abstract
Recently strengthened environmental regulations have obligated manufacturing companies to treat end-of-life (EOL) products both environmentally consciously and economically. EOL treatment begins with disassembling a product into recyclable or disposable sub-assemblies. Therefore, the economic value of an EOL product is largely a function of the plan for its disassembly: the means by which it is to be disassembled into smaller sub-assemblies, and the choice of sub-assemblies to be disassembled first. In order to make these decisions, a disassembly structure describing every possible sub-assembly division and its disassembly path from the original product has to be presented in a typical form. A widely used form of such a structure is a transition matrix. A transition matrix shows all feasible sub-assemblies and their disassembly hierarchy. Whereas it can be easily transformed into mathematical disassembly planning problem, the tedious work required for its generation limits its practical use. In this paper, we propose an algorithm for automatic derivation of a transition matrix. The proposed algorithm provides an efficient way to derive a transition matrix based on a product''''''''s architectural information, which includes the product''''''''s physical connections and the relative geometric locations between individual parts. The algorithm was validated in deriving a transition matrix of a car door-trim. Our algorithm can significantly expand the applicability of transition-matrix-based disassembly planning research.
ISSN
0020-7543
Language
English
URI
https://hdl.handle.net/10371/74982
DOI
https://doi.org/10.1080/00207540902729918
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