Browsing by Author "Mubiru, Kizito Paul"

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    Optimal Ordering Policies for Supermarkets under Static Pricing and Stochastic Demand: A Case Study of Milk Powder Product
    (International Journal of Scientific Research Engineering & Technology, 2013) Mubiru, Kizito Paul; Buhwezi, Bernard Kariko; Lating, Peter Okidi
    Demand uncertainty affects a significant portion of sales revenue in supermarkets. In this paper, we develop a new approach to formulate and optimize the single-item, finite horizon, periodic review revenue problem of milk powder product under stochastic demand. A special case of our model is where sales price and scheduled inventory replenishment periods are uniformly fixed at all supermarkets. Adopting a Markov decision process approach, the states of a Markov chain represent possible states of demand for milk powder product. The decision of whether or not to order additional units is made using dynamic programming over a finite period planning horizon. Numerical results demonstrate the existence of an optimal state-dependent ordering policy and the corresponding sales revenue of milk powder product in supermarkets.
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    Optimality of Supermarket Inventory Policies Under Stochastic Demand in Uganda:A Case Study of Milk Powder Product
    (PROCEEDING OF THE EIGTH OPERATIONS RESEARCH SOCIETY FOR EASTERN AFRICA (ORSEA) INTERNATIONAL CONFERENCE, 1998) Mubiru, Kizito Paul; Kariko-Buhwezi, Bernard; Lating, Peter
    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.