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Impact of delay in payment, shortage and inflation on an EOQ model with bivariate demand

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  • R. Sundararajan
  • S. Vaithyasubramanian
  • A. Nagarajan

Abstract

The major challenge of inventory decision makers is to determine an inventory optimization strategy that ensures the right balance between keeping abundant on hand inventory to meet the demand of the customers and optimizing costs related to holding inventory. This article analyzes on providing a general deterministic inventory model in which the rate of demand is determined by price and time over the ordering cycle time. The traditional assumption of zero ending invento ry level is relaxed to a non-zero ending inventory level. Shortages are allowed which are partially backlogged. We develop models with partial backlogging and without backlogging. The aim is to maximize the profit per unit time, assuming delay in payment and inflation. An algorithm is proposed to find the optimal selling price, optimal stockout period, optimal replenishment cycle time and the optimal ending inventory level. All the possible special cases of these two models are also discussed. The numerical examples, graphical representation, and sensitivity analysis are given to illustrate the practical application of the proposed model.

Suggested Citation

  • R. Sundararajan & S. Vaithyasubramanian & A. Nagarajan, 2021. "Impact of delay in payment, shortage and inflation on an EOQ model with bivariate demand," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(2), pages 267-294, April.
    • Handle: RePEc:taf:tjmaxx:v:8:y:2021:i:2:p:267-294
    DOI: 10.1080/23270012.2020.1811165
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    Cited by:

    1. Khakbaz, Amir & Mensi, Walid & Tirkolaee, Erfan Babaee & Hammoudeh, Shawkat & Simic, Vladimir, 2023. "The combined effects of interest and inflation rates on inventory systems: A comparative analysis across countries," International Journal of Production Economics, Elsevier, vol. 266(C).
    2. Ian Yeoman, 2022. "Ukraine, price and inflation," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(3), pages 253-254, June.

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