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研究生:翁秀儀
研究生(外文):H.Y. Weng
論文名稱:自動化生產系統之整體績效分析與衡量
論文名稱(外文):The Integrated Performance Analysis and Evaluation for an Automatic Production System
指導教授:蕭堯仁蕭堯仁引用關係
指導教授(外文):Y.R. Shiau
學位類別:碩士
校院名稱:逢甲大學
系所名稱:工業工程學系
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:2001
畢業學年度:89
語文別:中文
論文頁數:64
中文關鍵詞:檢測資源檢測能力製程規劃
外文關鍵詞:inspection resourcemeasurement capabilityprocess planning
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隨著高科精密產業的蓬勃發展,及顧客對於品質的要求日益嚴苛,進行在製品之檢驗量測已為企業提昇與確保品質必備的基本程序之一。然而,不論採用何種檢測系統在使用上均會有其限制存在,故當引用一檢測設備時,有必要瞭解其量測能力是否足以符合使用者之需求。再者,在偌大的生產系統中,企業所能提供之檢測資源有限,因此決策者要如何在這有限的檢測資源中,將適當之檢驗站指派到適當之地點進行檢測工作,以作出最有效之規劃與運用,藉以提昇產品品質,降低生產線之不良率,並為企業帶來最大的效益,實為一值得深入探討的課題。
為此,於本研究中將以序列式生產系統為對象,針對多品質特性之多功能性產品,藉由同時考量製程能力與量測誤差,探討各種量測結果之期望機率模式及工作站中不同類別之加工件數,建構出一評估生產線不良率之數學模式,以其作為衡量檢測資源配置績效之指標﹔此外,並以其為基礎,提出一衡量整個生產系統績效之整合性製程能力指標,期能提供決策者更有效的規劃檢測資源。
此外,藉由所建構出之生產線不良率的數學模式,採用窮舉法來尋求最小化不良率之最佳檢驗站配置方案,並針對其所得之數據加以整理、歸納,以分析出影響檢測資源配置之重要決策因子--各工作站之K值及其製程標準差。而後,藉由該決策因子,以最小化生產線不良率為目標,設計出一套啟發式演算法,並於求解過程中,將檢驗站使用及數量的限制一併納入考量,以期能更符合生產系統之真實狀況。而該套啟發式演算法除能找出不錯的近似最佳解外,更能大幅地縮短求解時間,可供決策者快速且有效的規劃檢測資源。

No matter what the production system is automatic or semi-automatic, the variation caused from the technology, experience, materials, operator, and process variation, etc still exits in production quality. It is necessary to allocate inspection stations among workstations. Therefore, the product quality can be improved, and the defective rate can be respectively reduced.
The performance of inspection systems should be evaluated for allocating the inspection resource. Based on the limit of inspection resource, the way to evaluate the allocating performance of inspection station was developed in this research. Instead of ambiguous index, the expected defective rate was studied to measure the performance distinctly. Then, a feasible inspection allocation plan can be determined. Under the consideration of the real situations, such as reworking and discarding, in a production system, the defective rate model of the entire system was constructed by considering both the process capability and the measurement capability.
To obtain a feasible inspection allocation plan, total enumeration method (TEM) is used to get the global optimal solution of the mathematical model. The larger the problem size is, the more the computational time is. Thus, a heuristic solution method has been developed to reduce the time of solution in this research. The result shows that it is effective to obtain a near optimal solution with great savings in computational time when comparing with TEM.

目錄
中文摘要……………………………………………………………Ⅰ
英文摘要……………………………………………………………Ⅱ
誌謝…………………………………………………………………Ⅲ
目錄…………………………………………………………………Ⅳ
圖目錄………………………………………………………………Ⅵ
表目錄………………………………………………………………Ⅶ
第一章 緒論………………………………………………………1
1.1 研究動機…………………………………………1
1.2 研究目的…………………………………………3
1.3 研究範圍…………………………………………4
1.4 研究方法簡介……………………………………4
第二章 文獻探討…………………………………………………7
第三章 學理概述…………………………………………………11
3.1 品質與品質管制…………………………………11
3.2 檢驗………………………………………………12
3.2.1 檢驗的功能…………………………………13
3.2.2 檢驗的種類…………………………………13
3.3 生產系統…………………………………………14
3.4 製程能力指標……………………………………17
第四章 研究方法…………………………………………………18
4.1 研究範圍與假設…………………………………18
4.2 量測模式分析……………………………………19
4.2.1 符號定義……………………………………19
4.2.2 量測模式的建立……………………………22
4.3 加工件數分析……………………………………26
4.4 不良率模式分析…………………………………33
4.5 整合性製程能力…………………………………34
4.6 模式建立…………………………………………35
第五章 演算法建構與案例驗證…………………………………36
5.1 模擬工具…………………………………………36
5.2 窮舉法……………………………………………36
5.3 啟發式演算法……………………………………37
5.3.1 決策因子分析………………………………38
5.3.2 啟發式演算法之建構………………………42
5.4 案例驗證與分析…………………………………45
5.4.1 案例描述……………………………………45
5.4.2 案例結果分析………………………………45
第六章 結論與未來發展.………………………………………47
6.1 結論………………………………………………47
6.2 未來研究發展……………………………………48
參考文獻……………………………………………………………49
附錄─測試案例之參數設定與結果………………………………53
圖目錄
圖3-1品管活動循環…………………………………………12
圖3-2連續式序列生產系統…………………………………15
圖3-3間斷式序列生產系統…………………………………15
圖3-4非序列式生產系統……………………………………16
圖3-5再回流生產系統………………………………………16
圖4-1未考量檢驗設施之作業流程分析……………………30
圖4-2不考量量測誤差之作業流程分析……………………31
圖4-3考量量測誤差之作業流程分析………………………32
圖5-1啟發式解法流程圖……………………………………44
表目錄
表4-1量測分析………………………………………………26
表5-1工作站參數設定(一)…………………………………39
表5-2實驗數據(一)………………………………………39
表5-3 工作站參數設定(二)…………………………………39
表5-4實驗數據(二)……………………………………… 40
表5-5 工作站參數設定(三)…………………………………41
表5-6誤判機率分析…………………………………………41
表5-7實驗數據(三)………………………………………42
表5-8案例測試結果…………………………………………46
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