在允许短缺的情况下,生产过程不完善和纠正维修的经济生产数量模型

Yung-Fu Huang, Ming-Wei Weng, Ching-Chang Lee, H. Huang
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引用次数: 2

摘要

本文的研究目的是考察一个不完善的、存在短缺的生产系统。利用马尔可夫链实现退化过程的方法是一个离散时间过程。我们还证明了该模型具有唯一的最优批量大小。利用所提出的算法寻找最优批量的边界。使用创建的数据实例给出了计算结果,以说明我们提出的模型的性能。结果表明,我们的模型可以实现显著的成本节约。因此,我们提出的模型通过纳入系统劣化、纠正性维护和考虑批量化政策的允许短缺的影响,比以前的生产批量化模型表现出更好的性能。此外,还进行了最优解对模型参数影响的敏感性分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An economic production quantity model with imperfect production processes and corrective maintenance under allowable shortages
This purpose of the research presented in this article is to examine an imperfect production system with shortages. The method to carry out the deterioration process was using the Markov chain is a discrete-time process. We also prove that the model has a unique optimal lot size. In search of the bounds for the optimal lot size by mean of the proposed algorithm. Computational results using created data instances are presented to illustrate the performance of our proposed model. It is shown that significant cost savings can be achieved by our model. Therefore, our proposed model shows better performance than previous production lot size models by incorporating the effects of system deterioration, corrective maintenance and considering allowable shortages on lot sizing policies. Furthermore, sensitivity analysis of optimal solution with respect to the effects of the model parameters is also carried out.
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