逆物流在過去一直不被受到重視，但是在最近不管是世界各國開始制定法規諸如WEEE、RoHS等以及消費者環保意識的抬頭，都不得不讓企業開始專注在逆物流供應鏈上面，由於逆物流的不確定因素及成本都遠比過去正物流來的複雜，因此，過去企業往往選擇外包給專業第三方逆物流業者來處理。
　　然而在過去文獻中指出，其實企業自行建立逆物流供應鏈擁有一些外包得不到的好處，因此，仍然有企業願意自行建立逆物流供應鏈，本研究的目的在於提出一個最佳化模式，此模式利用非線性規劃先將整個研究模式建立成數學模式，再利用隨機規劃方法來將回收量、回收品質及拆解數量這三項不確定因素考慮進去，接著透過情境的方式來表達未來各種可以能發生的情況，再透過非線性隨機規劃模式來去求得一個綜合各種情境的最佳回收處理分配，最後再利用一個手機品牌廠商來做為範例。

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