000			a
999			_c21076 _d21076
003			OSt
005			20240528110150.0
008			240528b xxu||||| |||| 00| 0 eng d
040			_aAIKTC-KRRC _cAIKTC-KRRC
100			_923480 _aGhoreishi, Niloufar
245			_aNongraphical method to determine the optimum disassembly plan in remanufacturing
250			_aVol.135(2), Feb
260			_aNew York _bASME _c2013
300			_a1-13p.
520			_aOptimizing a disassembly process involves maximizing the number of disassembled valuable parts (cores) and minimizing the number of disassembly operations. Usually, some disassembly operations are in common among two or more cores, or sometimes removing a core requires prior removal of other cores (known as precedence relations); these correlations complicate the allocation of the disassembly cost to the cores. To overcome this complexity, the current optimization methods (decision trees) determine the optimum sequence of disassembly operations rather than the optimum set of cores to be disassembled. These methods become difficult to implement when the number of cores increases. In this paper, we developed a mechanized nongraphical approach to determine the optimum set of cores to be disassembled and their required disassembly operations based on the functionality statuses of the cores. This approach introduces a new characterization of the disassembly process and its precedence relations, and can be implemented conveniently using computer codes even when the product consists of many cores. The application of the method is explained with an example. Using this example, it was shown that the optimum disassembly can increase the net profit significantly compared with the complete disassembly.
650		0	_94626 _aMechanical Engineering
700			_923481 _aJakiela, Mark J.
773	0		_tJournal of mechanical design _dNew York ASME
856			_uhttps://asmedigitalcollection.asme.org/mechanicaldesign/article-abstract/135/2/021002/375731/A-Nongraphical-Method-to-Determine-the-Optimum?redirectedFrom=fulltext _yClick here
942			_2ddc _cAR