研究生: |
陳冠潔 Chen, Kuan Chieh |
---|---|
論文名稱: |
基於製程能力指標之產出績效檢定與驗收抽樣計畫操作平台建構 Developing an Operating Platform for Process Performance Assessment and Sampling Plans Based on Process Capability Indices |
指導教授: |
吳建瑋
Wu, Chien Wei |
口試委員: |
張國浩
蘇明鴻 廖茂原 |
學位類別: |
碩士 Master |
系所名稱: |
工學院 - 工業工程與工程管理學系 Department of Industrial Engineering and Engineering Management |
論文出版年: | 2016 |
畢業學年度: | 104 |
語文別: | 中文 |
論文頁數: | 109 |
中文關鍵詞: | 驗收抽樣計畫 、製程能力指標 、圖形使用者介面 |
外文關鍵詞: | Acceptance Sampling Plan, Process Capability Indices, Graphic User Interface |
相關次數: | 點閱:1 下載:0 |
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驗收抽樣計畫為品質管理領域中一項廣為使用的工具,透過買賣雙方所訂定的品質水準以及可承受之風險,以提供買賣雙方判定貨批品質水準是否在可接受之品質標準內。近年來,已有許多學者以製程能力指標為考量,發展出許多不同型態的計量型驗收抽樣計畫,然而,學術研究大多無法直接運用於產業界,其中可能原因包含其公式推導複雜、需要大量數學及統計的基礎等,導致學術上之研究無法應用於產業界。
因此,本研究將建構一個操作平台,整合以製程能力指標發展產出績效檢定及計量型驗收抽樣計畫之相關文獻,以縮短學術與產業界之間的差距,此操作平台之功能包含兩大部分:第一部份為針對產出績效檢定,透過臨界值或p-value、信賴下界來評估產出績效是否符合標準;第二部分則為驗收抽樣計畫,根據不同策略的驗收抽樣計畫求解所需樣本數及臨界值,以及各驗收抽樣計畫之操作特性曲線和平均樣本數比較等兩大部分,其中驗收抽樣計畫包含計量型單次驗收抽樣計畫、計量型重複遞交驗收抽樣計畫、計量型重複群集驗收抽樣計畫、計量型多重相依狀態驗收抽樣計畫、計量型修改重複群集驗收抽樣計畫、計量型兩計畫驗收抽樣系統以及計量型快速轉換抽樣系統。最後,透過實務案例進行使用者介面操作,說明使用者如何將實務上所得到的產品數據透過本研究進行分析與判斷。
Acceptance sampling plans are practical tools for quality control management which provide decision rules for lot acceptance determination between producers and customers. Those sampling plans provide both producers and customers a common rule to meet their preset requirements on product quality and allowable risk. Lots of researchers had developed different variables sampling plans based on process capability indices in the recent years. However, for their practical use in the industry applicable platforms are necessary. In order to shorten the gap between academic research and industry, in this paper, we develop an operating platform by combing process performance assessment and different sampling plans which are based on the both one-sided and two-sided process capability indices.
The operating platform, which integrates seven different variables sampling plans and process performance assessment, can mainly be divided into three parts. First, obtaining critical value and sample size by solving two non-linear equations. Secondly, data analysis and decision-making. Lastly, comparing different variables sampling plans by operating characteristic (OC) curve and average sample size (ASN). The plan parameters are determined by solving two non-linear equations simultaneously and fulfill the two-point condition on the OC curve. The OC curve of all the proposed plans in this paper is derived under the exact sampling distribution.
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