歐盟於2003年2月公布了「電機電子設備回收指令(WEEE)」以及「限用有害物質指令(RoHS)」,其內容針對歐盟各國10大類別的電機電子產品的有毒及重金屬物質予以管制。並要求歐盟各國依照這兩項指令所制定的法規與制度,自行制定符合各會員國的對應法規,亦在2006年七月一日起實施,將立即對台灣每年輸出至歐洲的電機電子產品產生很大的衝擊 ,目前各大廠紛紛公佈出自己定義的規範。例如:SONY、Motorola、Microsoft、IBM、HP、GM Motor、GE、PHILIPS……等。但是如果要能生產符合環保要求的產品,則單一零件的成本勢必增加,所以如何兼顧RoHS的環保要求又能儘量節省成本,想必是許多台灣企業所要追求的目標。本文期望藉由利用多目標基因演算法(MOGA)技術,搭配料號表、可以替代料資訊等,再搭配基因演算法,將BOM的組合重新規劃,演化出最佳的組合,以達到成本及有毒物質含量的最佳化,並且能依據全世界各大廠規範以最低的成本及最少的有害物質含量來達到其要求。
The「Waste Electrical and Electronic Equipment(WEEE )」 and 「Restriction of the use of certain Hazardous Substance(RoHS )」 were announced by European Union in February, 2003. It is content is to control the poisonous and heavy metal material of electronic products for 10 classifications in the EU countries, and to require the EU countries to accord with these regulations and systems made of the above two orders. Each EU member state should legislate to correspond the regulations also to implement them beginning from July 2006. This creates very big impact to the electronic products exported from Taiwan to Europe every year. Most of the international companies such as SONY, Motorola, Microsoft, IBM, HP, GM Motor, GE, PHILIPS and etc., have already announced the norms of their own. To comply with these norms, the cost of a single part will certainly increase in order to meet the environmental protection request. So, how to produce a product that meet the RoHS order and save the cost as possible is believed the goals pursued by the enterprises in Taiwan.