透過您的圖書館登入
IP:3.141.199.243
  • 期刊
  • OpenAccess

雙次計數值允收抽樣計畫與作業特徵曲線之設計-圖形化介面程式設計使用LabVIEW語言

Design of a Double Attribute Acceptance Sampling Plan and Its Operating Characteristic Curve: A Visual Approach Using LabVIEW Programming Language

摘要


計數值允收抽樣檢驗為一最常使用的抽樣類型,本文中分成三部分將雙次抽樣檢驗之方法程式化,第一部分藉由作業特徵曲線之設計與製作,在改變允收參數值時觀察作業特徵曲線的變化;本文中的第二部分則引導進入抽樣檢驗的設計方案,由單獨設定允收參數的允收水準(AQL)與生產者風險(α),該作業特徵曲線可以圖形化呈現比較其差異性,亦可藉由單獨設定允收參數的品質界線(LQL)與消費者風險(β),設計滿足該條件之允收抽樣計畫,且圖形化作業特性曲線可顯示不同抽樣計畫之差別;第三部分中則以同時設定計畫參數的允收水準(AQL)與生產者風險(α)及品質界線(LQL)與消費者風險(β),以尋求能滿足該設計之抽樣計畫,並圖形化最近似該條件之多個計畫作業特徵曲線,以供使用者選擇應用。

並列摘要


In this study, programs are created for designing double attribute acceptance sampling plans. Three important concepts of the design of attribute acceptance sampling plans are illustrated by using the LabVIEW programming language. The first concept is to calculate the probability of lot acceptance, based on which the operating characteristic (OC) curve of an attribute sampling plan is accomplished. The second concept introduces the design of an attribute sampling plan based on the Acceptable Quality Level (AQL) associated with Producer's Risk (α) or the Limiting Quality Level (LQL) of Consumer's Risk (β). Different sampling plans may all satisfy the criterions and can be visually shown for comparison. The third concept links to design the sampling plan based on both the Acceptable Quality Level (AQL) and the Limiting Quality Level (LQL). Because the criterion is more stringent, it can be difficult to find a sampling plan that exactly satisfies both the producer's- and consumer's-risk stipulations. A procedure to satisfy both stipulations is then incorporated in the design criteria. The decision-making framework based on either stipulation is visually displayed to aid in selecting a appropriate sampling plan.

被引用紀錄


謝雅惠(2016)。根據隨機過程理論建構複合式最適檢驗計畫之研究〔碩士論文,國立屏東科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0042-1805201714162524

延伸閱讀