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Two substitutable perishable product disaster inventory systems

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  • V. Yadavalli
  • Diatha Sundar
  • Swaminathan Udayabaskaran

Abstract

A disaster inventory system is considered in which two substitutable items are stored for disaster management. In the event of disaster management, a particular product may become stock-out and the situation warrants that a demand for the particular product during its stock-out period may be substituted with another available similar product in the inventory. From the utility point of view, continuous review inventory models are quite appropriate in disaster inventory management. In this paper, a continuous review two substitutable perishable product disaster inventory model is proposed and analyzed. Since the inventory is maintained for disaster management, an adjustable joint reordering policy for replenishment is adopted. There is no lead time and the replenishment is instantaneous. For this model, some measures of system performance are obtained. The stationary behavior of the model is also considered. Numerical examples are also provided to illustrate the results obtained. Copyright Springer Science+Business Media New York 2015

Suggested Citation

  • V. Yadavalli & Diatha Sundar & Swaminathan Udayabaskaran, 2015. "Two substitutable perishable product disaster inventory systems," Annals of Operations Research, Springer, vol. 233(1), pages 517-534, October.
    • Handle: RePEc:spr:annopr:v:233:y:2015:i:1:p:517-534:10.1007/s10479-014-1783-3
    DOI: 10.1007/s10479-014-1783-3
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    9. Dang, Duc-Cuong & Currie, Christine S.M. & Onggo, Bhakti Stephan & Chaerani, Diah & Achmad, Audi Luqmanul Hakim, 2023. "Budget allocation of food procurement for natural disaster response," European Journal of Operational Research, Elsevier, vol. 311(2), pages 754-768.
    10. Tal Avinadav & Tatyana Chernonog & Yael Lahav & Uriel Spiegel, 2017. "Dynamic pricing and promotion expenditures in an EOQ model of perishable products," Annals of Operations Research, Springer, vol. 248(1), pages 75-91, January.
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