- 期刊
退貨商品與製程異常之關聯分析－以工業電腦為例
Association Analysis of Return Merchandise and Manufacturing Process Abnormalities: A Case Study of Industrial Personal Computer
摘要
由於消費性電子產品獲利降低，許多公司競相投入獲利較高的工業電腦產業。除提供滿足客戶需求的創新設計與應用外，業者同時要維持良好品質與效率，以擊敗競爭對手及確保利潤。本研究首先彙整某工業電腦公司製造執行系統（manufacturing execution systems, MES）與退貨商品授權（return merchantdise authorization, RMA）中的品質異常資料；接著，應用Apriori演算法找出RMA與MES間的品質異常關聯並建立RMA-MES預測模型，以預測製程異常所可能造成的退貨問題；最後，分析與討論RMA-MES關聯資訊，以做為RMA及MES發生異常時，管理人員採取適當對策及防禦措施之參考。
並列摘要
Due to the low profit return of consumer electronic products, many companies transferred their investment to the industrial personal computers (IPC) industry to pursue higher profit. In addition to providing innovative design and application to meet customer requirements, manufacturers also need to keep good quality and high efficiency to defeat competitors and ensure profits. This research first collects the abnormal quality data from the Manufacturing Execution System (MES) and Return Merchandise Authorization (RMA) of a real IPC company. Then, the Apriori algorithm is applied to analyze the association of quality abnormalities between RMA and MES, and further, to build the RMA-MES forecasting model to predict the possible return merchandise problems from the manufacturing process abnormalities. Finally, RMA-MES association information is discussed and explained to provide managers a reference for taking proper countermeasures and prevention when RMA and MES abnormalities occur.