Modelling of an inventory system with multivariate demand and partial backlogging
Author:
Rakesh Kumar Agrawal, Debangana Rajpoot and N.K. Varshney
Affiliation:
Department of Mathematics D.S. College Aligarh India
Email:-mr.rakesh0212008@gmail.com
Keyword:
Multivariate Demand; Backlogging; Inventory; Optimization
Issue Date:
August 2011
Abstract:
In this paper we undertake to study the effect of multivariate demand on an inventory model. An order level inventory system is developed for deteriorating items with selling price, stock and time dependent demand. Partially backlogged shortages are permitted in inventory with constant backlogging rate. Procedures are developed for determining the optimal cycle time for all cost structures. The models developed are illustrated through numerical examples and sensitivity analysis is reported.
Pages:
397-404
ISSN:
2319-8052 (Online) - 2231-3478 (Print)
Source:
PDF:
DOI:
jusps-B
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Rakesh Kumar Agrawal, Debangana Rajpoot and N.K. Varshney , "Modelling of an inventory system with multivariate demand and partial backlogging ", Journal of Ultra Scientist of Physical Sciences, Volume 23, Issue 2, Page Number 397-404, 2016Copy the following to cite this URL:
Rakesh Kumar Agrawal, Debangana Rajpoot and N.K. Varshney , "Modelling of an inventory system with multivariate demand and partial backlogging ", Journal of Ultra Scientist of Physical Sciences, Volume 23, Issue 2, Page Number 397-404, 2016Available from: http://ultraphysicalsciences.org/paper/629/
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