Experimental evaluation of system configurations of an industrial processing system using a Markovian approach

Rao, Kavuri Suryaprakasa and Raghavendra, BG and Krishnaswamy, KN (1993) Experimental evaluation of system configurations of an industrial processing system using a Markovian approach. In: Applied Mathematical Modelling, 17 (11). pp. 577-585.

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Abstract

This paper deals with the stochastic modelling of one of the plants of a fertilizer complex encountering severe interruptions, resulting in loss of production. The plant consisted of three parallel streams of coal gasification units with various configurations of waste heat recovery boiler systems at different time points. The state of these three parallel streams in combination was modelled as a Markov process. The ideal configuration of the system for optimal operational productivity was derived using this Markov model. Experimental analysis through a Markov simulation approach has given excellent insight into possible system performance with an additional parallel facility, without incurring any actual investment.

Item Type:	Journal Article
Publication:	Applied Mathematical Modelling
Publisher:	Elsevier
Additional Information:	Copyright of this article belongs to Elsevier.
Keywords:	Stochastic process;Markov model;Fertilizer complex;Interruptions;Configurations;Simulation
Department/Centre:	Division of Interdisciplinary Sciences > Management Studies
Date Deposited:	18 Jul 2006
Last Modified:	19 Sep 2010 04:30
URI:	http://eprints.iisc.ac.in/id/eprint/7888

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