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題名 | 模糊歸屬函數在修正計數值抽樣檢驗計劃之應用=The Modification of Attribute Acceptance Sampling Plan Using Fuzzy Membership Functions |
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作者 | 潘浙楠; 周芳儀; | 書刊名 | 品質學報 |
卷期 | 12:2 民94.06 |
頁次 | 頁89-100 |
分類號 | 494.568 |
關鍵詞 | 抽樣檢驗計劃; 模糊檢定; 模糊歸屬函數; Acceptance sampling plan; Fuzzy hypothesis; Fuzzy membership functions; |
語文 | 中文(Chinese) |
中文摘要 | 工業界在進料或產品量產時,由於受到時間與人力的限制,必須藉由抽樣檢驗計劃隨機抽取一定數量之樣本,經過檢驗或測試後,根據其結果再依統計方法判定此批量是否達到允收。本研究針對現行MIL-STD-105 單次抽樣檢驗計劃的允收過程,以模糊檢定 (Fuzzy hypothesis) 的方式取代明確檢定 (Crisp hypothesis, H0: p ≦ AQL 與H1: p > AQL),再依照現行抽樣檢驗計劃對生產者與消費者風險的定義,將生產者與消費者風險延伸至模糊檢定可適用之形式,並利用模糊歸屬函數建構模糊抽樣檢驗計劃。最後本文進行此一模糊抽樣檢驗計劃與MIL-STD-105 在降低生產者與消費者風險表現上之比較分析。 |
英文摘要 | Inspection for acceptance sampling plan is carried out at many stages in manufacturing. In many instances, sampling inspection is used because the cost of 100% inspection is prohibitive. This research use a fuzzily formulated hypothesis to replace the crisp hypothesis testing (H0: p ≤ AQL vs. H1: p > AQL) used in the current MIL-STD-105 attribute acceptance sampling plan. In particular, we redefine the producer’s risk and the consumer’s risk to a proper formats instead of the traditional probability of type I and type II errors. Finally, the fuzzy membership functions are utilized to establish the fuzzy attribute acceptance-sampling plan and then its powers and OC curves are compared with those of MIL-STD-105 attribute acceptance sampling plan. |
本系統之摘要資訊系依該期刊論文摘要之資訊為主。