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Disassembly Reuse Part Selection for Recovery Rate and Cost with Lifetime Analysis
Author(s) -
Shota Hasegawa,
Yuki Kinoshita,
Tetsuo Yamada,
Masato Inoue,
Stefan Bracke
Publication year - 2018
Publication title -
international journal of automation technology
Language(s) - English
Resource type - Journals
eISSN - 1883-8022
pISSN - 1881-7629
DOI - 10.20965/ijat.2018.p0822
Subject(s) - reuse , selection (genetic algorithm) , product (mathematics) , computer science , constraint (computer aided design) , set (abstract data type) , product type , process engineering , reliability engineering , biochemical engineering , engineering , waste management , mathematics , mechanical engineering , geometry , artificial intelligence , programming language
The depletion of natural resources is a critical environmental issue, and the recovery, including reuse and recycling, of end-of-life assembled products is the key to reducing the use of natural resources. However, in order to reuse or recycle an assembled product, it is essential to consider the life expectancy or material type and the weight of the parts in the product. In addition, because the assembled products comprise various parts, manual disassembly is required, which entails high costs. To recover assembled products in an environmentally friendly and economical manner, part selection for disassembly is required. A part selection method is proposed with three selection types: reuse, recycling, and disposal. First, data-set preparation is addressed. Second, the method for selecting the disassembly parts using integer programming and the ϵ constraint method is explained. Finally, numerical experiments are conducted using the proposed part selection method with a computer as a case study. Lifetime changes of the parts/product are then analyzed.

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