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An inventory system with demand dependent on both time and price assuming backlogged shortages

Luis A. San-José, Joaquín Sicilia and David Alcaide-López-de-Pablo

European Journal of Operational Research, 2018, vol. 270, issue 3, 889-897

Abstract: In this work we analyze an inventory model for items whose demand is a bivariate function of price and time. It is supposed that the demand rate multiplicatively combines the effects of a time-power function and a price-logit function. The aim is to maximize the profit per time unit, assuming that the inventory cost per time unit is the sum of the holding, shortage, ordering and purchasing costs. An algorithm is developed to find the optimal price, the optimal lot size and the optimal replenishment cycle. Several numerical examples are introduced to illustrate the solution procedure.

Keywords: Inventory; Price and time-dependent demand; Backlogged demand; Profit optimization (search for similar items in EconPapers)
Date: 2018
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Citations: View citations in EconPapers (11)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:270:y:2018:i:3:p:889-897

DOI: 10.1016/j.ejor.2017.10.042

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European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati

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