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  • 學位論文

六標準差於工程服務業之應用:個案研究

Applying Six Sigma in Engineering Service Industry: Case Study

指導教授 : 蘇朝墩
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摘要


自 1987 年摩托羅拉公司提出六標準差並成功推行以來,六標準差已經成為 協助企業追求卓越的重要品質方法論。六標準差最早僅被應用於生產製造業中, 近年來逐漸擴展至服務業,例如金融業與醫療業。然而,在營造與工程服務業中, 六標準差仍處於萌芽的階段,貝泰公司(Bechtel)以六標準差識別並預防重工和施 工缺陷,3000 萬美元的投入創造了 2 億美元的改善效益,除此之外鮮少有其他 企業成功運用的實例,在學術研究上也少有營造與工程服務業的案例。因此,本 研究以個案研究的方式,應用六標準差於工程服務業之工時改善。 本研究將工程服務業之特色,融入六標準差理論,以關鍵成功因子、六標準 差精神、專案選擇、關鍵品質要素與六標準差工具,發展適合工程服務業之六標 準差方法論。以某工程公司為例,實施一完整 DMAIC 改善循環。於定義階段蒐 集顧客聲音,訂定設計工時符合預算為關鍵品質特性;於衡量階段施行量測系統 分析,掌握目前關鍵品質的績效;於分析階段使用特性要因圖,找出所有可能的 原因,並以決策矩陣選擇較重要的原因,再使用 5 Whys 分析根本原因;於改善 階段,針對根本原因以腦力激盪產出改善方案,並依決策矩陣選擇較可行的改善 方案;於控制階段使用 FMEA 發展應變計畫,以確保改善方案能夠確實執行, 發揮改善效果。

並列摘要


Since Motorola first proposes “Six Sigma” in 1987, it becomes an important methodology in pursuing excellence for enterprises. In early age, Six Sigma is only applied in manufacturing industry. Recently, Six Sigma gradually expands to service area such as finance and healthcare industry. However, Six Sigma is still immature in construction and engineering service industry. Bechtel Corporation, one of the largest engineering and construction companies in the world, reported savings of $200 mil- lion with an investment of $30 million in its six sigma program to identify and pre- vent rework and defects. There are hardly other successful cases except for Bechtel. Therefore, presenting a Six Sigma real case of an engineering service company is the goal of this research. With regard to the characteristic of engineering service industry, we propose a Six Sigma methodology identifying critical success factor, essence of Six Sigma, pro- ject selection, critical to quality (CTQ) and Six Sigma tool box. In addition, we apply a full DMAIC improvement cycle in an engineering service company. In define phase, “design working hour” is defined as CTQ. In measure phase, we discover some fault occurred in records of design working hour by performing measure system analysis (MSA). In analyze phase, all possible causes are found by cause-effect diagram and screened to few root causes. In improve phase, we take brain-storming to generate feasible improvement measures. In control phase, FMEA is applied to make sure all improvement measures are working as expected.

參考文獻


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