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Uncertain Supply Chain Management

ISSN 2291-6830 (Online) - ISSN 2291-6822 (Print)
Quarterly Publication
Volume 3 Issue 2 pp. 147-158 , 2015

Modeling of an inventory system with multi variate demand under volume flexibility and learning Pages 147-158 Right click to download the paper Download PDF

Authors: Surbhi Singhal, S.R. Singh

DOI: 10.5267/j.uscm.2014.12.006

Keywords: Learning, Multi-variate demand, Stochastic backorder, Volume flexibility

Abstract: In this study, a volume flexible inventory system for deteriorating items with stock & time dependent demand has been developed over a finite planning horizon. Shortages are permitted with partial backorder. Uncertainties are inherent in real inventory problems due to complexities of market situation. This uncertainty can be handled by the concept of randomness. As a result, backorder rate is taken as random and follows a probability distribution. All the costs are influenced by the learning effect. The optimal number of production cycles that minimize the total cost is considered. Numerical illustrations together with sensitivity analysis are given to elucidate the model. Furthermore, the numerical results of the finite planning horizon model have been plotted graphically.

How to cite this paper
Singhal, S & Singh, S. (2015). Modeling of an inventory system with multi variate demand under volume flexibility and learning.Uncertain Supply Chain Management, 3(2), 147-158.

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Journal: Uncertain Supply Chain Management | Year: 2015 | Volume: 3 | Issue: 2 | Views: 2233 | Reviews: 0

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