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Call for Paper - May 2015 Edition
IJCA solicits original research papers for the May 2015 Edition. Last date of manuscript submission is April 20, 2015. Read More

Stochastic Analysis of Bulk Production with Bulk and Catastrophic Sales System using Matrix Geometric Approach

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International Journal of Computer Applications
© 2014 by IJCA Journal
Volume 107 - Number 7
Year of Publication: 2014
Authors:
Ramshankar. R
Ramanarayanan. R
10.5120/18763-0049

Ramshankar.r and Ramanarayanan.r. Article: Stochastic Analysis of Bulk Production with Bulk and Catastrophic Sales System using Matrix Geometric Approach. International Journal of Computer Applications 107(7):16-21, December 2014. Full text available. BibTeX

@article{key:article,
	author = {Ramshankar.r and Ramanarayanan.r},
	title = {Article: Stochastic Analysis of Bulk Production with Bulk and Catastrophic Sales System using Matrix Geometric Approach},
	journal = {International Journal of Computer Applications},
	year = {2014},
	volume = {107},
	number = {7},
	pages = {16-21},
	month = {December},
	note = {Full text available}
}

Abstract

This paper studies two stochastic Models (A) and (B) with bulk production and bulk sales of products with catastrophe. The system has infinite storing capacity and the production and sales sizes are finite valued random variables with finite maximum production and sales sizes. When a catastrophe occurs the entire stocks are sold. Matrix partitioning method is used to study the models. In Model (A) the maximum production size is greater than the maximum sales size and the infinitesimal generator is partitioned as blocks of the maximum production size for analysis and in Model (B) the maximum production size is less than the maximum sales size and the latter is for partition. The stationary stock level probabilities, its expected values, its variances and probabilities of empty level are derived for the two models using the rate matrix iterated. Numerical examples are presented for illustration. Bulk arrival and bulk service queue becomes a special case of the model considered.

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