依國際環保潮流及國際環保公約之趨勢,環境化設計的方向要為可回收、低毒性、及省能源;由於WEEE及RoHS分別於2005年8月13日及2006年7月1日正式生效,輸入歐洲市場的電子電器產品都須符合此法規。 而實務上,目前國內電子業對RoHS規範產品的零件選料,大多是使用人工作業。隨著客制屬性、法規實施階段、與銷售國家,所要遵守的RoHS檢查值含量也不同,也比一般產品的零件選料作業複雜;常見的案例為,相似商品為了供應給不同的客戶,所以必須有不同的生產線同時生產;或同客戶訂購相同的產品,但隨著時間的不同,零件的檢查項目含量值也會有所變動。在這樣的複雜的生產作業下,若增加其它管理要素如:最低成本、或最佳產能的要求時人工作業勢必無法應付此零件選料作業。 研究針對綠色供應鏈產品零件選料提出一套解決方案,使用群組技術將相似的產品進行訂單整合,針對訂單中各零件檢查項目值,使用類神經網路進行分群作業,將客制需求類似的產品進行統一生產。並在分群作業結束,依企業內部現有之庫存零件資訊,進行可用零件篩選與總生產成本計算,有效減少生管人員規劃產線的複雜度。研究針對以上作業模式使用Matlab軟體提出一綠色供應鏈產品零件選料系統,並依個案公司資訊,進行實驗數據設計,確保系統於實務作業的可用性。
Recently, the product design for environment is getting more important. The European Union Restriction on Hazardous Substances(RoHS)has been driving new requirements for the management of information, including the extended electronics manufacturing value chain. Most of Taiwan’s semiconductor enterprises have been spending much time planning environment system which focuses on choices component’s materials. Production department usually manually selects component’s materials. The components have diverse production way and various materials by different customers, implementation stage of environment law, and country area. One component usually has many production lines to make many customers’ order at the same time, which leads to more enterprise costs. During this year, many researches have been used material selecting system, supporting-decision system, and AHP(Analytic Hierarchy Process) to solve selecting-material problem. The research was taken a framework, which involves the grouping technique and some algorithms. It can solve selecting materials problem from mass orders and considers replacement’s cost. Finally, it can improve benefit and makes selecting materials more efficiently.