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A volume flexible economic production lot-sizing problem with imperfect quality and random machine failure in fuzzy-stochastic environment

机译:模糊随机环境下具有不完善质量和随机机器故障的数量灵活的经济生产批量问题

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An "economic production lot size" (EPLS) model for an item with imperfect quality is developed by considering random machine failure. Breakdown of the manufacturing machines is taken into account by considering its failure rate to be random (continuous). The production rate is treated as a decision variable. It is assumed that some defective units are produced during the production process. Machine breakdown resulting in idle time of the respective machine which leads to additional cost for loss of manpower is taken into account. It is assumed that the production of the imperfect quality units is a random variable and all these units are treated as scrap items that are completely wasted. The models have been formulated as profit maximization problems in stochastic and fuzzy-stochastic environments by considering some inventory parameters as imprecise in nature. In a fuzzy-stochastic environment, using interval arithmetic technique, the interval objective function has been transformed into an equivalent deterministic multi-objective problem. Finally, multi-objective problem is solved by Global Criteria Method (GCM). Stochastic and fuzzy-stochastic problems and their significant features are illustrated by numerical examples. Using the result of the stochastic model, sensitivity of the nearer optimal solution due to changes of some key parameters are analysed.
机译:通过考虑随机的机器故障,开发出质量不理想的产品的“经济生产批量”(EPLS)模型。通过考虑其故障率是随机的(连续的)来考虑制造机的故障。生产率被视为决策变量。假定在生产过程中生产了一些有缺陷的单元。考虑了导致相应机器的空闲时间的机器故障,这导致人力损失的额外成本。假定不完美质量单位的生产是一个随机变量,并且所有这些单位都被视为完全浪费的废品。通过考虑一些库存参数的不精确性,将这些模型表述为随机和模糊随机环境中的利润最大化问题。在模糊随机环境中,使用区间算术技术将区间目标函数转换为等效的确定性多目标问题。最后,通过全局准则方法(GCM)解决了多目标问题。数值例子说明了随机和模糊随机问题及其显着特征。利用随机模型的结果,分析了由于某些关键参数的变化而导致的更接近最优解的灵敏度。

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