現今企業在國際化的環境下，產品間相互競爭更為激烈，企業面臨如何提高對市場需求反應能力的挑戰。如何快速且有效的回應顧客需求，為現今企業的主要課題，而庫存的掌控能力更是企業決勝的關鍵成功因素之一。 隨著供應鏈競爭日趨激烈，愈來愈多企業運用「供應商管理存貨模式」協同補貨，以快速滿足顧客需求。本研究主要在探討「供應商管理存貨」之「補貨機制」與「庫存控管模式」，並以個案公司為例，探討企業在進行供應商管理存貨的物料規劃、實務運作與補貨決策時所面臨之困境。 本研究藉由文獻探討與個案研究作為邏輯推導之基礎，首先，以品管工具特性要因圖歸納出個案公司供應商管理存貨庫存水準不良之真因；其次，應用限制理論中之DBR (Drum Buffer Rope) 規劃系統為主要方法，以及使用統計製程控制、產品生命週期、時間序列預測等輔助方法，針對個案公司建立供應商管理存貨補貨改善模型，並透過個案公司歷史資料，驗證本研究應用DBR建構之供應商管理存貨補貨模型。期能透過本研究之過程與方法，提供相關業者在遇到同樣問題時，能夠給予實質上實務運用的幫助。 最後，本研究結果顯示，應用DBR建構供應商管理存貨補貨模型的觀念與方法是可行且有效的，將個案公司原先採用顧客需求預測的補貨策略做庫存水準之比較，本研究之DBR補貨模型相對得到較優的績效表現。在產品導入期，改善個案公司70%的不良庫存；於成長期，改善39%；在產品成熟期，改善32%；於衰退期的成效為改善85%的不良庫存水準，故本研究應用DBR建構之VMI補貨模型，可達到明顯改善庫存水準的成效。 With the product competition in international environment, the main challenge for companies is how to quick response to customers, and how to meet customer requirements rapidly and efficiently. The ability of controlling inventory level becomes the one of key element for successful companies. Along with the fierce competition in the supply chain, more and more companies using Vender-Managed Inventory (VMI) as the strategy of collaborative replenishment in order to meet customer demands quickly. This study is aimed to investigate VMI replenishment model and focuses on VMI system and the difficulties that case company is faced with during replenishment process. Based on the literature review and case study, this study uses Cause and Effect Diagram of quality control tool to identify the root cause of why the inventory level is not under control, and then uses Drum-Buffer-Rope (DBR) planning system approach supplemented by Statistical Process Control (SPC), Product Life Cycle (PLC), and Time Series Forecast methods to build a VMI replenishment model for case company to improve the inventory levels. After verifying by case company historical data, the VMI replenishment model can be provided to relevant industry as a solution for practical using. The results of this study show that VMI replenishment model applied by DBR planning system is feasible and effective. Compared with Forecast Push System which used by case company originally, there is 70% of improvement in product introductory state on inventory level controlling, 39 % of improving in product growth stage, 32% of improvement in product maturity stage, and 85% of improving in product decline stage. The significant improvement is achieved.
