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頁籤選單縮合
題 名 | Bayesian Average Outgoing Quality Limit Sampling Plans Based on Fuzzy Optimization=模糊最佳化的貝氏平均出廠品質界限抽樣計劃 |
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作 者 | 陳忠和; 王瑞琛; | 書刊名 | 模糊系統學刊 |
卷 期 | 5:2 1999.12[民88.12] |
頁 次 | 頁65-70 |
分類號 | 494.542 |
關鍵詞 | 貝氏單次抽樣計劃; 平均出廠品質界限; 模糊數學規劃; Bayesian sampling plans; Average outgoing quality limit; AOQL; Fuzzy mathematical programming; FMP; |
語 文 | 英文(English) |
中文摘要 | 本研究將探討有關模糊環境下須儘可能滿足平均出廠品質界限限制 的Guenther貝氏單次抽樣計劃的問題。本文為Chakrabory以及Wang與Chen 研究工作的延伸,文中將對上述問題定義成模糊數學規劃的模式,同時採用修 正的Chakraborty方法來求解該模式。研究結果顯示生產者額外放寬少許的AOQL 值,能夠大量減少每批的檢驗成本。最後,就模式的成本參數提出討論並進一 步指出未來的研究方向。 |
英文摘要 | In this article, we consider that the problem of determining Guenther's Bayesian single sampling plans under the fuzzy environment satisfies the average outgoing quality limit (AOQL) closely. This study is an extension of Chakraborty's and Wang and Chen's works. We present the fuzzy mathematical programming (FMP) model for this problem and derive the solution by adopting a modification of Chakraborty's method. The conclusion shows that the producer takes an additionally small value of AOQL against a saving of large inspection effort per lot. Further discussions about the cost coefficients of Guenther's model and directions of study are included in the paper. |
本系統中英文摘要資訊取自各篇刊載內容。