在許多國家中，環境的憂慮、全球暖化、缺乏垃圾處理場以及缺乏快速發展廢電子電機設備指令已經成為一個非常迫切的問題。為了避免回收的損失及降低環境汙染，電子公司需要尋求一些適當的方法去減少廢電子電機設備並且從使用過的產品中重新獲取更多的利用價值。基於對廢電子電機設備逆物流網路之分析及規劃的特性，此論文提出一個在多產品逆物流系統模式下最小化成本之混整數線性規劃。此回收系統包含四階段流程分別為收集場、分解場、處理場及最終端場，其中處理場包含回收及維修功能，最終端場包含廢物處理，主要市場及次要市場。模型中所考慮到的因子包含了作業成本、處理成本、銷售收入及受回收產品少量變動的運輸成本。
本數學模型是利用AMPL (A Mathematical Programming Language)求解，藉由此模型能夠幫助決定在網路中最佳的設備及物料的流動，此外，本研究也利用無限射頻辨識技術來計算在收集場之回收產品的資訊，並且將資料傳送給經理，使經理可以利用這些資料來提昇物流作業的效率。

Environmental concerns, global warming, the lack of landfill and rapid development of WEEE (Waste Electrical and Electronic Equipment) have become a matter of great urgency in many countries. In order to avoid returning losses and reduce environmental pollution, there is a need for electronic companies to find proper ways to reduce WEEE and recover the value from used products for further utilities. Based on the analysis of the WEEE reverse logistic network and the characteristics of its planning, this thesis presents a mixed integer linear programming (MILP) model, which has a cost minimization model for multi-products reverse logistics system. The recycling system consists of four stages of process such as collection sites, disassembly sites, treatment sites (for recycling, repair facility), and final sites (disposal, primary market, secondary market). The factors considered in the model include the cost of operation, treatment, sales income as well as transportation cost with different fractions of returned products. The model is solved by an algebraic modeling package AMPL (A Mathematical Programming Language). The proposed optimization model can help determine the optimal facilities and the material flows in the network. Besides, Radio Frequency Identification (RFID) technology is suggested to manage returned products at collection points and send the data to the managers that can help them determine the quantity and quality of returned products in order to increase efficiency of logistic operations.

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