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Inventory control and periodic price discounting campaigns

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  • Ben A. Chaouch

Abstract

This paper develops an inventory model that determines replenishment strategies for buyers facing situations in which sellers offer price‐discounting campaigns at random times as a way to drive sales or clear excess inventory. Specifically, the model deals with the inventory of a single item that is maintained to meet a constant demand over time. The item can be purchased at two different prices denoted high and low. We assume that the low price goes into effect at random points in time following an exponential distribution and lasts for a random length of time following another exponential distribution. We highlight a replenishment strategy that will lead to the lowest inventory holding and ordering costs possible. This strategy is to replenish inventory only when current levels are below a certain threshold when the low price is offered and the replenishment is to a higher order‐up‐to level than the one currently in use when inventory depletes to zero and the price is high. Our analysis provides new insight into the behavior of the optimal replenishment strategy in response to changes in the ratio of purchase prices together with changes in the ratio of the duration of a low‐price period to that of a high‐price period. © 2006 Wiley Periodicals, Inc. Naval Research Logistics, 2007.

Suggested Citation

  • Ben A. Chaouch, 2007. "Inventory control and periodic price discounting campaigns," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(1), pages 94-108, February.
    • Handle: RePEc:wly:navres:v:54:y:2007:i:1:p:94-108
    DOI: 10.1002/nav.20173
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    References listed on IDEAS

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    Cited by:

    1. Arnoud den Boer & Ohad Perry & Bert Zwart, 2018. "Dynamic pricing policies for an inventory model with random windows of opportunities," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(8), pages 660-675, December.
    2. Srinivas R. Chakravarthy & B. Madhu Rao, 2021. "Queuing-Inventory Models with MAP Demands and Random Replenishment Opportunities," Mathematics, MDPI, vol. 9(10), pages 1-26, May.
    3. Azoury, Katy S. & Miyaoka, Julia, 2020. "Optimal and simple approximate solutions to a production-inventory system with stochastic and deterministic demand," European Journal of Operational Research, Elsevier, vol. 286(1), pages 178-189.
    4. Pinçe, Çerağ, 2021. "Forward Buying and Strategic Stockouts," European Journal of Operational Research, Elsevier, vol. 289(1), pages 118-131.

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