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ISSN 1895-2038, e-ISSN:1734-459X

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Issue 3/ 2016, article 7

Kunal T. Shukla, Mihir S. Suthar

A FRAMEWORK FOR AN INVENTORY MODEL FOR DETERIORATING ITEMS WITH EXPIRATION UNDER TRAPEZOIDAL-TYPE DEMAND AND PARTIAL BACKLOGGING

Abstract:

Background: As in the case of deteriorating items, expiration plays a major role in inventory management, a generalized approach is studied based on an inventory model for deteriorating items with expiration dates.
Methods: In this paper, the demand rate during the cycle time is assumed to be trapezoidal. Shortages are allowed and partially backlogged. An inventory replenishment strategy is formulated for trapezoidal demand rates and backlogging rates in general for retailers; with the support of fundamental concepts of calculus.
Results: The method is illustrated with the support of numerical examples along with sensitivity analysis with respect to major parameters.
Conclusion: This generalized approach provides a platform to develop a strategy using different demand functions and backlogging rates.

Keywords: Inventory, deteriorating items with expiration, trapezoidal demand rate, partial backlogging

Full text available in in english in format: Adobe Acrobat pdf article nr 7 - pdf

Streszczenie w jezyku polskim Streszczenie w jezyku polskim.

Zusammenfassung in Deutsch Zusammenfassung in Deutsch.

DOI: 10.17270/J.LOG.2016.3.7
For citation:

MLA Shukla, Kunal T., and Mihir S. Suthar. "A framework for an inventory model for deteriorating items with expiration under trapezoidal-type demand and partial backlogging." Logforum 12.3 (2016): 7. DOI: 10.17270/J.LOG.2016.3.7
APA Kunal T. Shukla1, Mihir S. Suthar2 (2016). A framework for an inventory model for deteriorating items with expiration under trapezoidal-type demand and partial backlogging. Logforum 12 (3), 7. DOI: 10.17270/J.LOG.2016.3.7
ISO 690 SHUKLA, Kunal T., SUTHAR, Mihir S.. A framework for an inventory model for deteriorating items with expiration under trapezoidal-type demand and partial backlogging. Logforum, 2016, 12.3: 7. DOI: 10.17270/J.LOG.2016.3.7
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