考慮隨機產品生命週期，時間價值及不良品最佳補貨策略

Ordering policies with random product life cycle, time-value of money and imperfect item

林毓芬(Yu-Fen Lin)

指導教授 ： 黃惠民 ； 鍾峻任

中原大學/電機資訊學院/工業與系統工程研究所/碩士(2012年)

https://doi.org/10.6840/cycu201200222

摘要

隨著科技的進步，近幾年來許多的高科技產品都具有短生命週期特性並且面臨著需求不穩定的問題，因此衍生出很多的問題，因產品過時而產生大量的安全存貨及高額的報廢成本，此外近年來隨著物價的持續上漲，導致貨幣有通貨膨脹的趨勢，此為零售商主要關切的議題之一，因此本研究將考慮單一零售商在金錢的時間價值及通貨膨脹並發展出一較佳的訂購策略。
本論文假設單一零售商考慮金錢的時間價值、通貨膨脹、隨機產品生命週期、不良品及不良品重工，以最小期望總成本為目標，發展出一最佳訂購策略。本研究應用一維搜尋法中的黃金切割搜尋法，求得最佳訂購週期時間及最低期望成本，並以Maple15及Matlab輔助計算本模型，並以數值範例分析及敏感度分析驗證本研究模型之有效性及說明參數的改變對本模式的影響。

關鍵字

不良品 ； 不良品重工 ； 隨機產品生命週期 ； 金錢的時間價值 ； 黃金分割搜尋法

並列摘要

With the advancement in technology, several high-tech products with short life-cycle are facing uncertainty of demands. Due out date of products; it leads to high level of safety stock and scrap. Moreover, the increasing price results in inflation. These issues pose a major concern for the retailers in their cost analysis. Hence, this paper considers the time value of money and inflation in developing an optimal ordering policy for a single retailer in a supply chain.
This paper assumes a single retailer considering the time value of money, inflation, random product life-cycle, imperfect products and rework. This study aims to optimize the ordering policy in order to achieve the minimum expected total cost. We apply the Golden Section Search, a one dimensional search approach to solve the optimal order cycle time and the lowest expected total cost. Maple 15 and Matlab are used to solve the model. Numerical example and sensitivity analysis are given to validate the model and to illustrate the changing effect of key parameters in the model.

並列關鍵字

Golden section search ； Imperfect rework ； random product life-cycle ； time-value of money

參考文獻

32. 張維哲，「在隨機產品生命週期及考慮金錢的時間價值下之存貨模式」，中原大學工業與系統工程學系碩士論文。

35. 黃怡婷，2011，「考慮價格變動及外包之不良品訂購策略」，中原大學工業與系統工程學系碩士論文。

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