應用協同規劃預測補貨於伺服器備品存貨改善之研究－以Q代工公司為例;Application of CPFR in Server Spare Inventory Improvement －A Case Study of System Integration Company

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Title:	應用協同規劃預測補貨於伺服器備品存貨改善之研究－以Q代工公司為例;Application of CPFR in Server Spare Inventory Improvement －A Case Study of System Integration Company
Authors:	羅時安;Lo,Shih-An
Contributors:	工業管理研究所在職專班
Keywords:	需求預測;維修備品;庫存管理;產品生命周期;協同規劃;預測及補貨;Demand Forecasting;Spare Parts;Inventory Control;Product Life Cycle;CPFR (Collaborative Planning, Forecasting, and Replenishment)
Date:	2015-07-27
Issue Date:	2015-09-23 10:24:49 (UTC+8)
Publisher:	國立中央大學
Abstract:	現今企業營運持續進行多方面成本控管，然而售後服務相關的維修備品料件往往是被忽略的一環，同時維修備品與客戶滿意度是高度相依關係，影響企業營運績效甚巨，其中相關零組件供需波動變化日漸趨大，在供需兩端無法即時反應下，造成系統組裝廠依舊面臨龐大的存貨或斷料問題，整體供應鏈必須建立起協同合作關係。隨著電子商務的成熟，能好好運用資訊透明的能見度，可將預測的結果運用在供應商共同補貨決策上，同時降低個案公司的存貨成本，減少資金的積壓，以提升營運績效。由於伺服器產品涵蓋範圍極廣，本研究只針對處理器此高單價零件，以及個案公司自製PCB主機板進行探討，另外，因出貨機種過多，僅納入裝機數最大的WM機種，以個案分析的方式蒐集相關資料，從過去歷史秏用量，利用迴歸方法求出預測值，並加以分析其結果。本研究應用協同規劃、預測與補貨（CPFR），將此商業流程發展於個案公司對於終端客戶與供應商之間維修備品管理運作，並透過企業的相關績效指標設定，探究CPFR補貨模式導入後之成本效益，以達成有效預測備品存貨水準，提高客戶服務水準與整體企業的競爭力。 ;Pursuing of cost efficiency on various aspects continuously in IT industry. However keeping proper level of spare parts inventory is always overlooked in supply chain operation. Meanwhile we face drastic fluctuations in both supply and demand in raw material market. Without the timely reaction, the system integrators are still facing the huge inventory issue; therefore, we have to establish an effective collaboration among the supply chain partnerships. In addition, within a global networking of information framework, we can take the advantage of the information visibility to predict the results for the spare parts replenishments of decision-making; meanwhile, reducing the inventory costs to the supply chain, release the capitals holding and enhance the enterprise operating performance. Due to various scope of server products, this study only focus on high value material, CPU, and case company made product the PCB mother board inventory items to discuss. In addition, for the reason of excessive numbers of the product model, we only include the best-selling MW model by case study approach to the collect the relevant data. From the perspective of spare part usage and install base level, it’s property to use the regression model and calculate the values to analyze the results. This research provides a modified CPFR business process plan that resolves the service part inventory management that exists in this case study. Through the performance measurement metrics, we discuss the cost-effectiveness of CPFR forecast policy. In this thesis, not only effectively achieving to reduce the spare parts inventory level, but also increasing the service level and overall competitiveness.
Appears in Collections:	[Executive Master of Industrial Management] Electronic Thesis & Dissertation

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