預燒測試在產品可靠度上扮演重要的角色，在產品量產階段的預燒測試，能夠將早夭期失效的產品篩檢出來，避免在產品出廠之後產生失效，造成顧客與企業的損失，由於預燒有企業自身的成本考量，以及顧客對產品之期望的目標，因此預燒測試可以視為一項考量多個目標的決策問題。然而預燒測試的政策執行與設定的實務上，決策者多以經驗法則訂定預燒的政策的內容；而過去的文獻當中，並沒有考量到預燒測試當中有多個項目的搭配，因此本研究建構出多階段預燒政策問題的多目標規劃模型，並建構出權重法與目標規劃法之模型，當決策者能夠判斷目標之間的重要度時，可使用權重法進行求解；而對於各個目標的期望已知時，可使用目標規劃方法求解。
預燒政策模型需考量產品當中多道的製程後是否需要進行預燒測試，並考量當中的預燒項目是否需要使用。模型假設預燒測試的篩檢能力會隨著預燒時間以及預燒項目的水準增加線性遞增，並且能夠篩檢出相對應品質較差的產品，在模型的求解上，預燒時間與項目水準之乘積代換，轉為混合整數線性規劃，並使用Gurobi進行求解。本研究透過文獻案例驗證，不僅能夠得到不同情境之下對應的預燒政策的項目搭配，且得知預燒決策當中，對於政策改變影響最大的因素在於決策者對於重要性的考量、經費與資源、客戶對產品的要求。決策者須善用有限資源，提供客戶最佳的產品，或是在客戶的期望中，盡可能避免多餘的資源消耗，以訂定最佳政策。

Burn-in test is important to the reliability of products. The infant defects in production stage can be removed by burn-in tests, so that producers could avoid the failure in on field phase and the loss of the customers. Burn-in test decision problem is a multi-objective decision problem, since it needs to consider in costs and expectation from customers. But most of the decision makers were used to use the rule based decisions. In addition, there are no research considered the multiple stage tests and options selecting. Therefore, in this research we have proposed two methods applying for the burn-in multiple stages and multiple options selecting decision problem. Weighted method is that decision makers can use if they could measure the importance between costs and product performance. Goal programming is that decision makers have the information about the target value of the total costs or the product performance.
In this research we considered the multi-stage burn-in test of the products, and there are several options can be chosen in each stages. The proportion of the defects removed will increased simultaneously with the burn-in time and the parameters level of the options. Since the models could be formulated in linear form, we used Gurobi to solve the problems to get the solution. Then we used the previous case to prove the models’ feasibility, and got the decision of the burn-in policies. In addition, we have known what would make burn-in policies different, such as the consideration from decision makers, budgets, and the expectation from customers.

中文文獻
許志義，多目標決策，五南圖書出版公司，台北市，民國八十三年。
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劉怡佳(2010)，考量目標優先順序之供應鏈彈性與利潤最佳化研究，碩士論文，國立成功大學工業與資訊管理學系碩士班。
王佩淳(2012)，運用確定性全域最佳化方法求解工程與管理問題，博士論文，國立臺北科技大學工商管理研究所博士班。
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