- 學位論文
考慮隨機產品生命週期與保固策略之損耗性存貨模式
Deteriating Inventory Model considering a Random Product Life Cycle and Warranty Policy
摘要
近幾年來損耗性產品之存貨模式逐漸受到重視，而指數分配經常被用來描述產品損耗特性。由於產品生命週期日益縮短和產品多元性的需求，也加速了新產品的研發速度來因應顧客需求與市場競爭。但過去並沒有太多的相關研究考慮將經濟生產批量模式結合隨機產品生產週期與金錢的時間價值來做探討，且考慮重製和瑕疵項目的保固策略與在保固期內失效品補償機制是必要的。 因此本論文主要的目的是著重在發展結合隨機產品生命週期與產品保固策略的經濟生產批量模式，同時考慮金錢的時間價值與通貨膨脹因素，並以指數分配作為隨機產品生命週期的機率分配，在模式中也加入了損耗性存貨的特性，而文中模式均以總成本現值最小化為目標函數，利用現金流量折現、一維搜尋法中的黃金分割搜尋法及電腦應用軟體，推導出最佳的生產週期及期望總成本，最後以數值範例及敏感度分析作為驗證。
並列摘要
In recent years, the problem of deteriorating inventory has received considerable attention. And exponential distribution is usually used to represent the distribution of deterioration. Due to the shortened product life cycle and the diversified product demand, new product development is vital to sustain customer demand and competitiveness. However, there are few current researches which take EPQ models incorporating a random product life cycle and the time-value of money into consideration. Moreover, it is necessary to consider rework and defective item as well as warranty policy which is a mechanism to compensate failures during the warranty period. The purpose of this study is to develop a deteriorating EPQ model with a random product life cycle, free-repair warranty policy and it also considers the time-value of money effect or inflation. The product life cycle is considered to be exponentially distributed. The research developed an integrated model to minimize the present worth total cost. The Golden Section Search, a kind of One-Dimensional Search approach and a computer code are used to derive the optimal policies. Numerical examples including sensitivity analysis are presented to validate the results of the models.
參考文獻
延伸閱讀
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