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研究生:郭憶妤
研究生(外文):YI-YU GUO
論文名稱:根據製造時程與製程品質建構外包商評選模式 -以齒輪的研磨製程為例
論文名稱(外文):Development an outsourcing selection model based on manufacturing time and process quality - A case study of grinding process of gear
指導教授:陳坤盛陳坤盛引用關係
指導教授(外文):Kuen-Suan Chen
學位類別:碩士
校院名稱:國立勤益科技大學
系所名稱:工業工程與管理系
學門:工程學門
學類:工業工程學類
論文種類:學術論文
論文出版年:2017
畢業學年度:105
語文別:中文
論文頁數:28
中文關鍵詞:品質特性六標準差品質指標製造時程外包廠商
外文關鍵詞:quality characteristicssix sigma quality indexmanufacturing timeoutsourcing manufacturers
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台灣的機械業產業中,中小型企業達95%,顯示其具有專業分工且已形成產業聚落,但在這經濟競爭激烈的時代背景下,製造業者必須要提高生產彈性並快速回應市場,才能滿足終端顧客的需求,其中外包就是製造業為了提高生產效能常用的一種對策之一,外包也從原本純粹的交易關係發展到合作的夥伴關係。因此本文將建構外包廠商評選矩陣,以齒輪的研磨製程為例,主要是因為齒輪為機械業相當重要且應用廣泛的零件之一,其功用為傳遞動力、改變動力方向及旋轉速度等用途,而研磨製程是齒輪生產流程中的一項重要加工程序。首先本文將定義六標準差品質指標與製造時程指標,並以製造時程指標為橫座標,以六標準差品質指標為縱座標建構一個外包廠商評選矩陣,並建立外包廠商評選法則,以提供業者進行外包廠商評選。接著為了要避免以樣本點估計評估績效所產生的誤判機率,所以本文將根據樣本進行檢定來估計樣本的信賴上限,並透過信賴上限進行嚴謹的推論,將計算結果繪製於外包廠商評選矩陣圖中,以判定五家外包廠商在品質與製造時程的表現情況,並選出兩項皆符合要求的外包廠商,而對於表現較差的外包廠商給予建議,本文所建構出的外包廠商評選系統可以使業者更方便觀察外包廠商表現結果、更能全方面的掌握外包廠商製程情形,使其管理起來更加簡易,且能從圖中得知表現較差的外包廠商需要改善的地方,使其能提高製程品質與製造時程的績效。
Small and medium-sized enterprises are up to 95% of machinery industry in Taiwan, it shows that they developed professional job assignment and formed industrial clusters. But facing intense economic competition, manufacturers must improve production flexibility and respond quickly to the market for satisfying customers' needs. In that case outsourcing is one of manufacturers' common way to improve production efficiency. Therefore, this paper will construct the outsourcing vendor selection matrix by a case study of grinding process of gear, because the gear is one of very important and widely applied parts for the machinery, its functions are to transmit power, change power direction, rotate speed and so on, and the grinding process is one of major processing procedures for producing gears. First, this paper will define the six sigma quality level index and manufacturing time index. Then, create a time-qualified rate as the horizontal axis, six sigma quality index as the vertical axis to construct outsourcing selection matrix, and establish outsourcing manufacturer selection rules to provide industry for selection. Avoiding the probability of misjudgment caused by the performance of the samples, we will estimate the upper confidence limit according to the samples and infer rigorously. The results will be drawn in the outsourcing vendor selection matrix chart to determine the five outsourcing manufacturers’ performance. They whose manufacturing time and process quality meet requirements will be selected, as well as ones with poor performance will be suggested for improving. This paper constructs the outsourcing vendor selection system can help the industry to observe the outsourcing manufacturers' performance more conveniently, grasp their process more fully, manage more easily, and realize the poor performance ones' weaknesses from the figure for enhancing the manufacturing quality and manufacturing time performance.
摘要 ------------------------------------------------ i
Abstract ------------------------------------------- ii
目錄 ---------------------------------------------- iii
表目錄 --------------------------------------------- iv
圖目錄 ---------------------------------------------- v
符號表 --------------------------------------------- vi
第一章 緒論 ------------------------------------------ 1
1.1 研究背景與動機 ----------------------------------- 1
1.2 研究目的與方法 ----------------------------------- 2
1.3 研究架構 ---------------------------------------- 2
第二章 製程介紹 -------------------------------------- 4
第三章 定義評估指標與指標估計 -------------------------- 7
3.1 製程品質的評估指標與指標估計 ----------------------- 7
3.2 製造時程的評估指標與指標估計 ---------------------- 11
3.3 建立評選外包廠商矩陣 ----------------------------- 13
3.4 說明評選外包廠商矩陣 ----------------------------- 16
第四章 實例應用 ------------------------------------- 18
第五章 結論 ----------------------------------------- 21
中文參考文獻 ---------------------------------------- 22
英文參考文獻 ---------------------------------------- 22
附錄一:五家外包廠商製造時程常態機率圖 ----------------- 24
附錄二:五家外包廠商真圓度常態機率圖 ------------------- 25
附錄三:五家外包廠商偏擺常態機率圖 --------------------- 26
附錄四:五家外包廠商面粗糙度常態機率圖 ----------------- 27
附錄五:五家外包廠商內徑常態機率圖 --------------------- 28
中文參考文獻
1.吳明機,2014,提升機械產業競爭優勢措施,行政院第3469次院會報告。

英文參考文獻
1.Chen, K. S., Huang, M. L., and Li, R. K., (2001), “Process capability analysis for an entire product.” International Journal of Production Research, Vol. 39, No. 17, pp. 4077-4087.
2.Chen, K. S., Pearn, W. L., and Lin, P. C., (2003), “Capability measures for processes with multiple characteristics.” Quality and Reliability Engineering International, Vol. 19, No. 2, pp. 101-110.
3.Chen, K. L., Chen, K. S., and Li, R. K., (2005), “Suppliers capability and price analysis chart.” International Journal of Production Economics, Vol. 98, No. 3, pp. 315-327.
4.Chen, K. S., Huang, M. L., and Chang, P. L., (2006), “Performance evaluation on manufacturing times.” International Journal of Advanced Manufacturing Technology, Vol. 31, No. 3-4, pp. 335-341.
5.Cheng, C. B., and Wang, C., (2008), “Outsourcer selection and order tracking in a supply chain by mobile agents.” Computers and Industrial Engineering, Vol. 55, No. 2, pp. 406-422.
6.Chen, K. S., Chen, H. T., and Chang, T. C., (2017), “The construction and application of Six Sigma quality indices.” International Journal of Production Research, Vol. 55, No. 8, pp. 2365-2384.
7.Dickson, G. W., (1966), “An analysis of vendor selection system and decisions.” Journal of Purchasing, Vol. 2, No. 1, pp. 5–17.
8.Delattre, A., Hess, T., and Chieh, K., (2003), “Strategic Outsourcing: Electronics Manufacturing Transformation in Changing Business Climates.” Accenture, pp. 1-12.
9.Kane, V. E., (1986), “Process capability indices.” Journal of Quality Technology, Vol. 18, No. 1, pp. 41-52.
10.Pearson, K., (1900), “On the criterion that a given system of deviations from the probable in the case of a correlated system of variables is such that it can be reasonably supposed to have arisen from random sampling.” Philosophical Magazine Series 5, Vol. 50, No. 302, pp. 157-175.
11.Prahalad, C. K., and Hamel, G., (1990), “The Core Competence of the Corporation.” Harvard Business Review, Vol. 68, No. 2, pp. 79-91.
12.Weber, C. A., Current, J. R., and Benton, W. C., (1991), “Vendor selection criteria and methods.” European Journal of Operation Research, Vol. 50, No. 1, pp.2–18.
13.Wadhwa, V., and Ravindran, A. R., (2007), “Vendor selection in outsourcing.” Computers and Operations Research, Vol. 34, No. 12, pp. 3725-3737.
14.Wang, C. C., Chen, K. S., Wang, C. H., and Chang, P. H., (2011), “Application of 6-sigma design system to developing an improvement model for multi-process multi-characteristic product quality.” Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture, Vol. 225, No. 7, pp. 1205-1216.
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