近年來，受到國際法規的影響，許多企業被要求必須對其生產之產品負起回
收處理的責任，加上石油及原物料價格波動加遽，造成企業的生產成本，比以往
高出許多，因此有學者提出閉環供應鏈的概念，在此供應鏈中透過回收廢舊產
品，以供再製造之用，成為再製造產品。在此環境之下，如何對再製造產品進行
訂價將是決定製造商獲利與否的重要關鍵。
由於以往文獻皆假設不同品質水準之廢舊產品，經再製造成為再製造產品，
其品質與新品相同，本研究認為此假設並不符合現實情況。過去有學者提出單一
品質之再製造產品訂價模式(Guide et al., 2003c)，無法涵蓋不同需求的考慮，因
此本研究將以Guide 等人之模式為基礎，設立多種品質水準之再製造產品，重新
建立再製造產品訂價模式，找出再製造產品與廢舊產品之最佳產品組合，同時本
研究亦將產能限制納入考量，來進行模式建構。
本研究以ReCelluar 再製造公司之調查資料作為模式參數來源。在求解演算
法方面，使用基因演算法作為主要求解演算法，輔以內點法與序列二次規劃法作
對照。在未加入產能限制的求解結果中，本研究驗證了Guide 等人所提出的單一
再製造產品模式，並且找出以基因演算法來求解本模式，求解表現並不好，因此
本研究改用序列二次規劃法來進行求解模式。在加入產能限制的求解結果中，本
研究認為產能限制會影響最佳產品組合，在決策者已知產能限制的情況下，此模
式可提決策者找出利潤最大化的產品組合。

Recently, many enterprises are constrained by international regulations to be
responsible for the recycle and reuse of their products. Besides, the production costs
of enterprises are increased largely due to the strong fluctuation on the price of
petroleum and raw material. Consequently, some scholars propose the concept of
closed-loop supply chain to collect the used-products for remanufacturing. Under this
environment, how to price the remanufacturing products becomes a key to whether
the manufacturers make profit or not.
By literature review, we have found that most models assume the quality of
remanufacturing product is as good as the new one. This assumption is unrealistic and
different from the real situation. Moreover, most scholars propose the pricing model
on a single quality level of remanufacturing products (Guide et al., 2003c). This kind
of model can not meet the different demand types. Based on Guide’s model, we
develop a new model that sets different quality levels of remanufacturing product and
forms different models to find out the optimal product mix of the remanufacturing
products and used-products. In addition, this model also incorporates the capacity
constraint.
In this research, we use the Genetic algorithm to solve the model. In addition to
Genetic algorithm, we also solve the model by Sequential Quadratic Programming
and Interior point algorithm. As for the numerical result with the capacity constraint,
we have found that capacity will affect the optimal product mix. This model also
provides decision maker to find optimal product mix of maximum profit under known
capacity constraint.

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