運用六標準差改善進料品質資訊系統

NCUIR > School of Management at National Central University > Graduate Institute of Industrial Management > Electronic Thesis & Dissertation > Item 987654321/85632

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Title:	運用六標準差改善進料品質資訊系統
Authors:	周詩湘;Chou, Shih-Hsiang
Contributors:	工業管理研究所
Keywords:	半導體封裝;六標準差 DMAIC;品質資訊系統;Semiconductor;Six Sigma of DMAIC;Quality Information System
Date:	2021-07-15
Issue Date:	2021-12-07 11:10:10 (UTC+8)
Publisher:	國立中央大學
Abstract:	本論文以半導體產業為研究背景，半導體產業鏈分為上游 IP/IC 設計，中游 IC/晶圓製造產業，下游為 IC 封裝測試產業，從上游設計到下游接單生產，傳統的供應鏈上下游分工明確，資訊為一層一層傳遞，上游業著如需要知道兩個階層以下的廠商資訊，它必須仰賴中間階層的業者傳遞，但因應市場需求，產品及服務趨於客製化及多樣性，產品生產週期縮短及上市時間壓力，半導體產業必須整合各部門管理系統流程及運用大數據分，配合產品生命週期及新產品開發替代排程優化整體營收，縮短市場到製造的落差。企業欲達到產品品質水準，須對重要原物料透過進料檢驗方式確保進料之品質保證，因此，進料檢驗單位對半導體封裝產業為重要單位之一。針對半導體封裝產業之個案公司之進料檢驗單位品質資訊系統問題進行改善以符合系統整合及數位轉型要件，建立數據完整性資料庫，得以大數據分析之應用。以六標準差 DMAIC 方法探討進料檢驗的品質資訊系統資料庫完整度問題，使用專案式架構流程，將 DMAIC 展開；定義階段使用 SIPOC 工具界定問題範圍及建立專案團隊，個案公司進料檢驗單位品質資訊系統由三大系統及兩類介面所組合而成，範圍縮小至量測檢驗資料庫，探討資料庫不完整度問題；衡量階段，統計 2021 年 1 到 3 月數據，量測資料庫完整度為 39%，明顯偏低，使用柏拉圖分析，以 80/20 理論，前 20%重要變因，影響著 80%效率，找出前 20%重要因子進行探討及定義衡量關鍵績效指標；而分析階段使用特性要因圖，探討異常問題之影響因子，進行改善措式；控制階段使用標準程序書(SOP)訂定系統介面操作和檢驗作業注意事項以縮短新進人員學習時間去面臨不熟悉且複雜的流程。讓本研究目的達到三要點為探討如何運用六標準差 DMAIC 策略改善進料檢驗之品質資訊系統中的量測數據資料庫完整度，其次，為建立完整品質資訊系量測資料庫，以利於後端大數據分析，最後藉由個分析，為其他相同公司背景提供品質資訊系統改善之參考。;The study of background for semiconductor, The semiconductor industry chain is divided into upstream IP/IC design, midstream IC/wafer manufacturing industry, and downstream IC packaging and testing industry. From upstream design to downstream order-to-order production, the traditional supply chain division of labor is clear, and the information is transmitted layer by layer. If upstream industry need to know the information of manufacturers below two levels, it must rely on the middle-level industry to transmit it. However, in response to market demand, products and services tend to be customized and diversified. With shortened production cycles and time-to-market pressure, the semiconductor industry must integrate the management system processes of various departments and use big data to optimize overall revenue and shorten the gap between market and manufacturing in conjunction with product life cycles and new product development alternative scheduling. If an enterprise wants to achieve product quality, it must ensure the quality of incoming materials through incoming inspection methods for important raw materials. Therefore, incoming inspection are one of the important in the semiconductor industry. Improve the quality information system of the incoming inspection unit of the case company in the semiconductor packaging industry to meet the requirements of system integration and digital transformation, and establish a data integrity database for the application of big data analysis. Use the six sigma DMAIC method to discuss the integrity of the quality information system database for iii incoming material inspection, use the project-based framework process to expand DMAIC, use the SIPOC tool to define the scope of the problem and establish a project team in the definition phase, and the company′s incoming material inspection quality of information system is composed of three major systems and two types of interfaces. The scope is narrowed to the measurement and inspection database to discuss the incompleteness of the database; the measurement phase is to collect the data from January to March 2021 integrity of the database. It is 39%, which is obviously low. Using Plato analysis and 80/20 theory, the top 20% of important variables affect 80% of efficiency. Find out the top 20% of important factors to discuss and define key performance indicators; and the analysis stage Use the characteristic factor diagram, explore the influencing factors of abnormal problems, and carry out improvement measures; use the standard procedure (SOP) to set the system interface operation and inspection operation precautions in the control phase to shorten the learning time of new recruits to face unfamiliar and complicated process. To achieve the purpose of this research, the three main points are to explore how to use the six sigma deviation DMAIC strategy to improve the integrity of the measurement data database in the quality information system of the incoming material inspection, and secondly, to establish a complete quality information system measurement database to facilitate the future End big data analysis, and finally through this analysis, provide a reference for the improvement of quality information systems for other companies with the same background.
Appears in Collections:	[Graduate Institute of Industrial Management] Electronic Thesis & Dissertation

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