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碩士 === 國立成功大學 === 資源工程學系碩博士班 === 92 ===   Due to worldwide stricter regulations on end-of-life product recycling, evaluation of various products’ recyclability has become important. Evaluation of recycling cost, benefit of reclaimed materials and general recyclability is essential for product design...

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Main Authors: Yu-Hsi Chang, 張禹晰
Other Authors: Li-Hsing Shih
Format: Others
Language:zh-TW
Published: 2004
Online Access:http://ndltd.ncl.edu.tw/handle/08896711345123483533
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spelling ndltd-TW-092NCKU53970232016-06-17T04:16:57Z http://ndltd.ncl.edu.tw/handle/08896711345123483533 none 電子電器產品再生策略選定與成本效益評估及智慧型決策支援系統之開發 Yu-Hsi Chang 張禹晰 碩士 國立成功大學 資源工程學系碩博士班 92   Due to worldwide stricter regulations on end-of-life product recycling, evaluation of various products’ recyclability has become important. Evaluation of recycling cost, benefit of reclaimed materials and general recyclability is essential for product designers as well as recycling agents. This study tries to construct an intelligent evaluation system that incorporates artificial intelligence, database management and mathematical models for electronic product recycling evaluation. The artificial intelligence techniques include case-based reasoning method and expert system, while database contains unit operation cost, fixed cost, disassembly cost, unit prices of reclaimed materials, and disposal fee. The proposed evaluation system can be used as either a module of design for recycling in product eco-design evaluation or an independent evaluation tool for recycling cost and benefit analysis. Li-Hsing Shih 施勵行 2004 學位論文 ; thesis 128 zh-TW
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description 碩士 === 國立成功大學 === 資源工程學系碩博士班 === 92 ===   Due to worldwide stricter regulations on end-of-life product recycling, evaluation of various products’ recyclability has become important. Evaluation of recycling cost, benefit of reclaimed materials and general recyclability is essential for product designers as well as recycling agents. This study tries to construct an intelligent evaluation system that incorporates artificial intelligence, database management and mathematical models for electronic product recycling evaluation. The artificial intelligence techniques include case-based reasoning method and expert system, while database contains unit operation cost, fixed cost, disassembly cost, unit prices of reclaimed materials, and disposal fee. The proposed evaluation system can be used as either a module of design for recycling in product eco-design evaluation or an independent evaluation tool for recycling cost and benefit analysis.
author2 Li-Hsing Shih
author_facet Li-Hsing Shih
Yu-Hsi Chang
張禹晰
author Yu-Hsi Chang
張禹晰
spellingShingle Yu-Hsi Chang
張禹晰
none
author_sort Yu-Hsi Chang
title none
title_short none
title_full none
title_fullStr none
title_full_unstemmed none
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publishDate 2004
url http://ndltd.ncl.edu.tw/handle/08896711345123483533
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