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A Note On Optimal Replenishment Policy For Imperfect Quality Emq. Model With Rework And Backlogging

机译:关于不完善质量Emq的最佳补货策略的注释。带返工和积压的模型

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A recent article on optimal replenishment policy of imperfect EMQ model by Chiu [S.W. Chiu, Optimal replenishment policy for imperfect quality EMQ model with rework and backlogging, Applied Stochastic Models in Business and Industry 23 (2007) 165-178], used mathematical modeling and differential calculus to derive the optimal ordering policy that minimizes overall costs. This paper presents a straightforward algebraic approach to replace the use of calculus on the cost function for determining the optimal replenishment solutions as well as the long-run average production-inventory costs for such an imperfect EMQ model. The algebraic method presented in this paper may enable students or practitioners with little or no knowledge of calculus to learn or to manage with ease the real-life manufacturing systems.
机译:Chiu [S.W.的最新文章,关于不完善EMQ模型的最佳补货策略。 Chiu,“带有返工和积压的质量不佳的EMQ模型的最优补货策略”,《商业与工业应用随机模型》 23(2007)165-178],使用数学建模和微积分计算得出了使总体成本最小化的最优订购策略。本文提出了一种直接的代数方法,以取代对成本函数使用微积分来确定最佳补充解决方案以及这种不完善的EMQ模型的长期平均生产库存成本。本文介绍的代数方法可以使对微积分知识很少或根本不了解的学生或从业人员能够轻松学习或管理现实生活中的制造系统。

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