| Summary: | 碩士 === 中原大學 === 工業與系統工程研究所 === 106 === To assess the efficiency of an enterprise or a factory, without a doubt inventory management is one of the important indicators. To ensure a sufficient quantity to supply the downstream demand changes, the management of stockpiles is important in the supply chain. Compared to the traditional replenishment strategy, Demand-Pull and Buffer Management advocated by Theory of Constraints (TOC), is an effective set of supply chain inventory management method (proved by many references). This method includes an Exponentially Weighted Moving Average (EWMA), Reorder Point (ROP) in the safety stock, History Volatility (HV), Fibonacci series (Fibonacci number), and the extension of Fabian Nancy’s Golden Ratio (Golden Ratio) to gain a suitable inventory-related model. The objective is to make the most appropriate replenishment strategy by considering customer demand data and the demand trends.
The products evaluated in this project are from a semiconductor packaging industry. Its products are characterized mainly by short life cycle and large changes in demand. Therefore, the EWMA is used to integrate the Customer’s actual demand and the actual demand forecasts and adds ROP algorithms to assist in small details that may be overlooked. For the buffer management, we divide the ratio into six different modes based on the Golden Ratio. The Historical Volatility is used to calculate the actual demand forecast given by the manufacturer to identify the volatility of the commodity and to clearly indicate the replenishment model to which the commodity is applicable.
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