考量報廢機率之消耗性部品存貨之最佳補貨策略; Determining Optimal Order Quantity per Procurement Cycle with a Given Length for a Consumption Part subject to Obsolescence Phenomenon

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Title:	考量報廢機率之消耗性部品存貨之最佳補貨策略;Determining Optimal Order Quantity per Procurement Cycle with a Given Length for a Consumption Part subject to Obsolescence Phenomenon
Authors:	許惠晴;Hui-Ching Hsu
Contributors:	工業管理研究所
Keywords:	報廢性存貨問題;socket pin;Weibull分配;nonhomogeneous Poission process;最佳訂購量;obsolescent inventory problem;socket pin;Weibu
Date:	2009-07-01
Issue Date:	2009-09-22 14:20:21 (UTC+8)
Publisher:	國立中央大學圖書館
Abstract:	隨著科技及市場的快速變遷，存貨之報廢問題儼然成為一重要問題，為了順應當今生命週期率退、工程變更快速之環境，已有許多學者針對報廢性存貨問題提出相關之研究。而本研究以個案公司之消耗性零件-socket pin為例，提出考量報廢機率求解最佳補貨策略之演算法。其報廢機率受IC之phase out及socket pin之工程變更兩個報廢因子影響，本研究假設以上報廢因子為兩獨立受時間影響之Weibull分配，進一步結合以上因子，進一步，以nonhomogeneous Poisson process之公式求得一時間區間之報廢機率。本研究之訂購策略演算法必須考量固定的需求、相關之成本及收益，並求其最佳訂購量使其利潤最大。最後再針對此報廢率、利潤函數之最佳訂購量及最大利潤進行數值分析與敏感度分析。 Obsolescent inventory is a critical concern in some industries, especially in the environment where the rapid change of technology and market. In spite of the significance of the increasing speed of technological change, there are now few prescriptive studies of the control of obsolescent inventory. The aim of this study is develop a joint rate function of socket pin obsolescence and propose a model to determine the order quantity at any time point to maximize the total profit per procurement cycle with a given length. Consider the case in this research, the obsolescent probability of consumption part-socket pin is effect by two conditions. One is phase out of IC, the other is engineering change of socket pin. We assume the two conditions follow Weibull distribution. Then, joint above two independent distribution to be obsolescent hazard rate. Use nonhomogeneous Poisson process formulation to obtain the interval probability of obsolescence. Furthermore, propose a decision algorithm that solves optimally the procurement policy problem taking into obsolescence problem. The ordering strategy should take into the constant expected demand during the life cycle, relevant costs and revenue. to maximize the profit. Final, we do sensitivity analysis and numerical analysis with the particular parameters finally.
Appears in Collections:	[Graduate Institute of Industrial Management] Electronic Thesis & Dissertation

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