NDLI: Reliability optimization with high and low level redundancies in interval environment via genetic algorithm

Content Provider	Springer Nature Link
Author	Sahoo, Laxminarayan Bhunia, Asoke Kumar Roy, Dilip
Copyright Year	2013
Abstract	This paper deals with redundancy allocation problem in interval environment that maximizes the overall system reliability subject to the given resource constraints and also minimizes the overall system cost subject to the given resources including an additional constraint on system reliability. Here, the reliability of each component is assumed as interval valued and the cost coefficients as well as the amount of resources are imprecise and interval valued. These types of problems have been formulated as an interval valued nonlinear integer programming problem. In this paper, we have formulated two types of redundancy, viz. component level redundancy known as low-level redundancy and the system level redundancy known as high-level redundancy. These problems have been transformed as an unconstrained optimization problem using penalty function technique and solved using genetic algorithm. Finally, two numerical examples (one for low-level redundancy and another for high-level redundancy) have been solved and the computational results have been compared.
Starting Page	513
Ending Page	523
Page Count	11
File Format	PDF
ISSN	09756809
Journal	International Journal of System Assurance Engineering and Management
Volume Number	5
Issue Number	4
e-ISSN	09764348
Language	English
Publisher	Springer India
Publisher Date	2013-10-26
Publisher Place	India
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Genetic algorithm Interval environment Low-level redundancy High-level redundancy Reliability optimization Quality Control, Reliability, Safety and Risk Engineering Economics, Organization, Logistics, Marketing
Content Type	Text
Resource Type	Article
Subject	Strategy and Management Safety, Risk, Reliability and Quality

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