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DISASSEMBLY PARTS SELECTION FOR RECOVERY RATE AND COST CONSIDERING REUSE
Author(s) -
Shota Hasegawa,
Yuki Kinoshita,
Tetsuo Yamada,
Masaaki Inoue,
Stefan Bracke
Publication year - 2018
Publication title -
destech transactions on engineering and technology research
Language(s) - English
Resource type - Journals
ISSN - 2475-885X
DOI - 10.12783/dtetr/icpr2017/17658
Subject(s) - reuse , selection (genetic algorithm) , constraint (computer aided design) , computer science , variety (cybernetics) , process engineering , engineering , reliability engineering , waste management , operations research , artificial intelligence , mechanical engineering
Since material starvation has become a serious issue, reuse and recycling are required to recover parts and materials from End-of-life assembled products. As the assembled products are composed of variety of parts, manual disassembly is required that has higher cost. To establish environmental and economic recycling factories, a disassembly parts selection is carried out to promote higher a recovery rate but the lower cost. The environmental and economical disassembly parts selection by material recycling and disposing has been proposed in the literature. However, the reuse for the parts has not been considered. This study proposes the disassembly parts selection with the reuse. First, data sets for the disassembly parts selection are addressed. Second, a disassembly parts selection with the reuse is formulated by using integer programming with e constraint method. Third, behaviors of the recovery rate for the cost are observed in a case of a computer. Finally, changes of length of life time are analyzed.

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