Optimality of Supermarket Inventory Policies Under Stochastic Demand in Uganda:A Case Study of Milk Powder Product
dc.contributor.author | Mubiru, Kizito Paul | |
dc.contributor.author | Kariko-Buhwezi, Bernard | |
dc.contributor.author | Lating, Peter | |
dc.date.accessioned | 2022-06-11T17:22:31Z | |
dc.date.available | 2022-06-11T17:22:31Z | |
dc.date.issued | 1998 | |
dc.description.abstract | Effective inventory management requires cost-effective methods in determining the optimal ordering decisions of cycle inventories in a stochastic demand environment. In this paper, an inventory model with stochastic demand is developed to analyze the ordering decisions of milk powder in supermarkets given a periodic review inventory system under stochastic demand. Adopting a Markov decision process approach, the states of a Markov chain represent possible states of demand for milk powder product. The decision of when to order is made using dynamic programming over a finite period planning horizon. The approach demonstrates the existence of an optimal state-dependent ordering policy as well as the corresponding total inventory costs. | en_US |
dc.identifier.citation | Mubiru, K. P., Kariko-Buhwezi, B., & Lating, P. Optimality of Supermarket Inventory Policies under Stochastic Demand in Uganda: A Case Study of Milk Powder Product. In PROCEEDING OF THE EIGTH OPERATIONS RESEARCH SOCIETY FOR EASTERN AFRICA (ORSEA) INTERNATIONAL CONFERENCE (p. 250). | en_US |
dc.identifier.uri | https://nru.uncst.go.ug/handle/123456789/3892 | |
dc.language.iso | en | en_US |
dc.publisher | PROCEEDING OF THE EIGTH OPERATIONS RESEARCH SOCIETY FOR EASTERN AFRICA (ORSEA) INTERNATIONAL CONFERENCE | en_US |
dc.subject | Modeling, Optimization, inventory policy, stochastic demand | en_US |
dc.title | Optimality of Supermarket Inventory Policies Under Stochastic Demand in Uganda:A Case Study of Milk Powder Product | en_US |
dc.type | Presentation | en_US |
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