研究生: |
王沛安 Wang, Pei-An |
---|---|
論文名稱: |
發展以製程能力指標為基礎之計量型跳批抽樣計畫 Developing Variables Skip-lot Sampling Plans Based on Process Capability Index |
指導教授: |
吳建瑋
Wu, Chien-Wei |
口試委員: |
蘇明鴻
Shu, Ming-Hung 張英仲 Chang, Ying-Chung |
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: | 2018 |
畢業學年度: | 106 |
語文別: | 中文 |
論文頁數: | 85 |
中文關鍵詞: | 驗收抽樣計畫 、製程能力指標 、跳批抽樣計畫 、操作特性曲線 |
外文關鍵詞: | acceptance sampling plan, process capability index, skip-lot sampling plan, operating characteristic curve |
相關次數: | 點閱:2 下載:0 |
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驗收抽樣計畫 (acceptance sampling plan) 為一廣泛使用的品質管理工具,提供生產者與消費者在判決貨批接收或拒收的參考依據。過去多使用不良率做為判決貨批的品質基準,然而在針對不良率極低的貨批則需要抽取大量的樣本數才能夠做出有效的判定,因此,近年許多研究結合製程能力指標 (Process Capability Indices, PCIs) 為衡量判決貨批之品質水準來發展計量型驗收抽樣計畫。跳批抽樣計畫 (Skip-lot Sampling Plan, SkSP) 為實務上常用的驗收抽樣計畫之一,主要概念為當連續檢驗一連串貨批且生產者過往品質記錄優良時,可以跳過一定數量的貨批進行檢驗,以降低檢驗時間與成本。因此,結合製程能力指標與跳批抽樣計畫之優點,本研究基於最為常見之製程能力指標 發展兩種計量型跳批抽樣計畫,分別為型二跳批抽樣計畫 (SkSP-2) 與跳批重複抽樣計畫 (SkSP-R),利用指標估計值 之真實抽樣分配來建構抽樣計畫操作特性函數及進行參數求解,有別於過往文獻多為計數型或使用 之近似抽樣分配的跳批抽樣計畫。此外,本研究提供不同品質水準、生產者與消費者風險組合下的兩抽樣計畫之計畫參數表,以及建構圖形化使用者介面並輔以實際案例說明計畫操作流程,做為實務上應用之參考。
Acceptance sampling plans are widely used statistical management tools for both supplier and consumer to lot sentencing. In recent literature, acceptance sampling plans always use process capability indices (PCIs) for measuring quality level of lots, rather than using the fraction nonconforming in order to avoid the larger sample size. Skip-lot sampling plan (SkSP) is one type of acceptance sampling plans, and the major concept is to skip a fraction of the lots, when the quality of product are superior from history. With skip-lot sampling plan, the inspection expenditure will dramatically decrease. As a result, this paper aims to integrate the advantage of process capability indices and skip-lot sampling plan, develop two type of variables skip-lot sampling plans based on the well-known process capability index , including SkSP-2 and SkSP-R. Moreover, the proposed approach is derived from the exact sampling distribution instead of approximation, which can provide more trustworthy information. The operational procedure and tabulated parameters of two plans are given and also a graphical user interface is made as the reference for making decisions on the submitted lots accepted or rejected.
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