Stochastic demand of production-inventory system with shortage

Ali Khaleel Dhaiban, Nazrina Aziz
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引用次数: 3

Abstract

We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.We consider the stochastic demand of an inventory system with defective items and the weekly demand, according to the Poisson process. Our objective is to formulate a Markov decision model to minimize the total expected cost, which includes production, holding, defective, and shortage. Markov decision model is formulated to describe the stochastic demand. Also, we show two strategies for disposal of defective items; the first one at the end of the week, and the second one continues during the week. The production rate represents a function of inventory, which has limited capacity. The results show a decrease in the shortage cost and increase in the production rate, in the case of disposal of defective items continues during the week.
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具有短缺的生产-库存系统的随机需求
根据泊松过程,考虑了有缺陷物品库存系统的随机需求和周需求。我们的目标是建立一个马尔可夫决策模型,以最小化总预期成本,其中包括生产,持有,次品和短缺。建立了马尔可夫决策模型来描述随机需求。此外,我们展示了两种处理次品的策略;第一个在一周结束时,第二个在一周内继续。生产率是库存的函数,而库存的产能是有限的。结果表明,在一周内继续处理次品的情况下,短缺成本降低,生产率提高。根据泊松过程,考虑了有缺陷物品库存系统的随机需求和周需求。我们的目标是建立一个马尔可夫决策模型,以最小化总预期成本,其中包括生产,持有,次品和短缺。建立了马尔可夫决策模型来描述随机需求。此外,我们展示了两种处理次品的策略;第一个在一周结束时,第二个在一周内继续。生产率是库存的函数,而库存的产能是有限的。结果表明,在一周内继续处理次品的情况下,短缺成本降低,生产率提高。
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