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Fuzzy Economic Production Quantity Models for Items with Imperfect Quality

並列摘要


This article considers the economic production quantity problem with imperfect items in the fuzzy sense. Two economic production quantity models with fuzzy defective rate (LR-fuzzy number) are constructed, in which Model 1 is developed when the screening rate is lower than production rate consider and model 2 is proposed when the screening rate is greater than production rate. The signed distance and sample algebraic method are employed to find the optimal production quantity in the fuzzy sense so that the total cost per unit time in the fuzzy sense has a minimum value. The relationship between model 1 and model 2 is revealed through theoretical analysis. Furthermore, numerical examples are provided to illustrate the results of proposed model.

參考文獻


Björk, K. M.(2009).An analytical solution to a fuzzy economic order quantity problem.International Journal of Approximate Reasoning.50(3),485-493.
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Cárdenas-Barrón, L. E.(2008).Optimal manufacturing batch size with rework in a single-stage production system - A simple derivation.Computers & Industrial Engineering.55(4),758-765.
Chang, H. C.(2004).An implication of fuzzy sets theory to the EOQ model with imperfect quality items.Computers and Operations Research.31,2079-2092.
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被引用紀錄


楊東洲(2010)。在含缺貨欠撥和可能重工失敗的生產模式探討不良品重工與否之決策〔碩士論文,朝陽科技大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0078-0601201112112990

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