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技術學刊 EIScopus

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篇名 產品生命週期下整合模組化與拆裝規劃之研究
卷期 28:4
並列篇名 DEIGN FOR END OF LIFE ON PRODUCT MODULARITY AND DISASSEMBLY PLANNING
作者 曾懷恩郭婉儀
頁次 279-288
關鍵字 集群基因演算法關聯強度模組化拆裝規劃grouping genetic algorithmsliaison intensitymodularitydisassembly planning.EIScopusTSCI
出刊日期 201312

中文摘要

市場激烈的競爭造成産品生命週期日益縮短,而消極性的資源回收方式,已經無法因應現今産品所造成環境日益嚴重的負擔,故如何在産品初期的設計工作考量中,就考慮到資源的利用率可以達到最大、同時對於環境的傷害最輕,一般稱這種更積極的趨勢爲綠色生命週期工程設計。爲了使生命週期延長、使得資源能夠做更有效的使用,產品生命週期的結束並不見得是其組成零件的全面更新,就需要從企業活動的根源:產品的研發與設計層面來作解決。
本研究擬企圖建立模組化及拆裝規劃的整合性評估方法,方法總共分爲四個階段,首先在第一階段,以工程資訊來量化產品零件間的結合強度,本研究稱之爲關聯強度。第二階段則以集群基因演算法將產品模組化;第三階段則是拆裝順序的產生;第四階段則評估模組的拆解成本與回收利益。本研究以Borland C++6.0作爲發展演算方法的工具,最後,本文以檯燈爲範例來驗證本研究所提出的方法。

英文摘要

Fierce competition in the market is cutting down product life cycle.
Therefore, it is important to maximize the usage percentage of resources and minimize the damage to the environment in the early stage of product design. This more aggressive design tendency is referred to as green life cycle engineering design. This study attempts to build an integrated approach for product modular design and disassembly planning using the four stage procedure. At Stage one, the liaison intensity was used to quantify the connection relationship among parts by their engineering information. At Stage two, the product to be recycled was modularized by the grouping genetic algorithms. At Stage three, a forward phase heuristic
algorithm was used to specify the disassembly planning. At Stage four, the
disassembly cost and recycle profit of the modules were evaluated.

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