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Please use this identifier to cite or link to this item: http://repository.iitr.ac.in/handle/123456789/12378
Title: Stochastic behavior analysis of the press unit in a paper mill using GABLT technique
Authors: Komal
Sharma S.P.
Kumar D.
Published in: International Journal of Intelligent Computing and Cybernetics
Abstract: Purpose: The purpose of this paper is to present a hybridized technique for analyzing the behavior of an industrial system stochastically utilizing vague, imprecise, and uncertain data. The press unit of a paper mill situated in a northern part of India, producing 200 tons of paper per day, has been considered to demonstrate the proposed approach. Sensitivity analysis of system's behavior has also been done. Design/methodology/approach: In the proposed approach, two important tools namely traditional Lambda-Tau technique and genetic algorithm have been hybridized to build genetic algorithms-based Lambda-Tau (GABLT) technique to analyze the behavior of complex repairable industrial systems stochastically up to a desired degree of accuracy. This technique has been demonstrated by computing six well-known reliability indices used for behavior analysis of the considered system in more promising way. Findings: The behavior analysis results computed by GABLT technique have reduced region of prediction in comparison of existing Lambda-Tau technique region, i.e. uncertainties involved in the analysis are reduced. Thus, it may be a more useful analysis tool to assess the current system conditions and involved uncertainties. The paper suggested an approach to improve the system's performance. Originality/value: The paper suggests a hybridized technique for analyzing the stochastic behavior of an industrial subsystem by computing six well-known reliability indices in the form of fuzzy membership function. © Emerald Group Publishing Limited.
Citation: International Journal of Intelligent Computing and Cybernetics (2009), 2(3): 574-593
URI: https://doi.org/10.1108/17563780910982734
http://repository.iitr.ac.in/handle/123456789/12378
Issue Date: 2009
Keywords: Control systems
Fuzzy logic
Paper industry
Programming and algorithm theory
Stochastic processes
ISSN: 1756378X
Author Scopus IDs: 36187019400
55925197900
57202478211
Author Affiliations: Komal, Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Sharma, S.P., Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India
Kumar, D., Department of Mechanical and Industrial Engineering, Indian Institute of Technology Roorkee, Roorkee, India
Corresponding Author: Komal; Department of Mathematics, Indian Institute of Technology Roorkee, Roorkee, India; email: karyadma.iitr@gmail.com
Appears in Collections:Journal Publications [ME]

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