備品的管理是企業內部設備管理非常重要的組成要素，加強備品的管理可以提升企業生產設備的使用效率，同時為企業節約費用產生的效益。
備品存貨透過即時滿足生產維修需求以提高服務水準，但是當備品存貨過高時不僅造成存貨空間的浪費且同時形成呆滯，加上存貨成本的增加都將佔用企業營運的資金；另外當備品存貨缺料時導致設備停機無法維修，進而影響產線的製造規劃，帶來巨大的損失。
個案C公司在備品物料的存貨管理現況皆以人工估算的方式進行物料需求規劃(Material Requirements Planning, MRP)的設定，在不確定需求的工程與維修案同步進行下，MRP無法即時反應，造成有庫存不足或庫存過高的問題產生；MRP目前被廣泛應用於企業的物料管理，其最佳運用於預測需求穩定的環境，但在不確定的需求情境下，容易發生存貨短缺與過高的問題。
本研究運用需求驅動物料需求規劃(Demand Driven Material Requirements Planning, DDMRP)針對個案C公司工程用備品實務之歷史數據，透過緩衝區設定、動態調整及需求驅動規劃對個案備品存貨進行模擬，並與個案C公司現行MRP系統作業方法進行存貨績效比較。
研究結果顯示在滿足使用需求的情況下，透過DDMRP理論能有效維持與降低平均庫存水位並同時優化存貨周轉率(次數)、存貨週轉天數與缺貨量等相關備品存貨績效，有效改善個案C公司目前所面臨的備品管理問題。

Effective management of spare parts is a crucial aspect of equipment management within any company. By enhancing spare parts management, a company can improve the efficiency of its production equipment and save costs.
Currently, Case C company relies on manual estimation to set Material Requirements Planning (MRP) for spare parts inventory management. However, this approach falls short when uncertain demand projects and maintenance cases occur simultaneously. MRP is commonly used in enterprise material management, particularly in scenarios with stable demand forecasts. Nevertheless, in situations with uncertain demand, MRP can lead to inventory shortages or excesses.
To address these issues, this study proposes the use of Demand Driven Material Requirements Planning (DDMRP) to simulate the spare parts inventory for Case C company. The simulation involves buffer setting, dynamic adjustment, and demand-driven planning based on historical data from engineering spare parts practices. This approach is then compared with the current MRP system employed by Case C company.
The research findings demonstrate that, while meeting usage requirements, DDMRP theory effectively maintains and reduces the average inventory level while optimizing inventory turnover rate, inventory turnover days, and out-of-stock volume. These improvements effectively address the challenges faced by Case C company in its current spare parts management.

宋炫慶 (2009). 以再訂購點與訂購量為決策變數下TFT-LCD設備零件存貨模式之研究，國立交通大學管理學院碩士在職專班管理科學組。
林清河 (2006). 工業工程與管理，二版，臺北，華泰文化。
林翰輝 (2007). 考慮需求不確定下庫存管理模式－以汽車維修零件為例，國立臺灣大學管理學院商學研究所。
林家卉 (2020). 運用DDMRP 模式優化庫存水位研究－以 A 公司為例，國立交通大學管理學院工業工程與管理學程。
洪崇獻 (2015). 運用 DDMRP概念改善工廠庫存管理-以 E 公司為例，國立交通大學管理學院(工業工程與管理學程)碩士班。
許芳瑞 (2021). 藥品庫存管理之個案研究，長庚大學商管專業學院碩士學位學程在職專班資訊管理組。
黃惠民，楊伯中 (2013). 供應鏈存貨系統設計與管理，臺中，滄海書局。
蔡青松 (2011). BOM製作與MRP流程優化之研究：以C公司為例，國立高雄大學國際高階經營管理碩士在職專班(IEMBA)。
Acosta, A. P. V., Mascle, C., & Baptiste, P. (2020). Applicability of Demand-Driven MRP in a complex manufacturing environment. International Journal of Production Research, 58(14), 4233-4245.
Bayard, S., Grimaud, F., & Delorme, X. (2021). Study of buffer placement impacts on Demand Driven MRP performance. IFAC-PapersOnLine, 54(1), 1005-1010.
Damand, D., Lahrichi, Y., & Barth, M. (2022). A simulation-optimization approach to parameterize Demand-Driven Material Requirements Planning. IFAC-PapersOnLine, 55(10), 263-268.
Favaretto, D., & Marin, A. (2018). An empirical comparison study between DDMRP and MRP in Material Management. Department of Management, Università Ca'Foscari Venezia Working Paper, (15).
Hasanati, N., Permatasari, E., Nurhasanah, N., & Hidayat, S. (2019). Implementation of material requirement planning (MRP) on raw material order planning system for garment industry. IOP Conference Series： Materials Science and Engineering, Vol. 528, No. 1, p. 012064. IOP Publishing.
Kortabarria, A., Apaolaza, U., Lizarralde, A., & Amorrortu, I. (2018). Material management without forecasting： From MRP to demand driven MRP. Journal of Industrial Engineering and Management, 11(4), 632-650.
Lee, C. J., & Rim, S. C. (2019). A mathematical safety stock model for DDMRP inventory replenishment. Mathematical Problems in Engineering.
Miclo, R., Fontanili, F., Lauras, M., Lamothe, J., & Milian, B. (2016). An empirical comparison of MRPII and Demand-Driven MRP. IFAC-PapersOnLine, 49(12), 1725-1730.
Ptak, C., & Smith, C. (2011). Orlicky’s Material Requirements Planning. McGraw Hill Professional.
Ptak, C., & Smith, C. (2016). Demand Driven Material Requirements Planning (DDMRP). Industrial Press.
Spearman, M. L., & Zazanis, M. A. (1992). Push and pull production systems： issues and comparisons. Operations research, 40(3), 521-532.