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  1. International Journal of System Assurance Engineering and Management
  2. International Journal of System Assurance Engineering and Management : Volume 7
  3. International Journal of System Assurance Engineering and Management : Volume 7, Issue 1, March 2016
  4. Maintenance cost minimization of manufacturing systems using PSO under reliability constraint
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International Journal of System Assurance Engineering and Management : Volume 8
International Journal of System Assurance Engineering and Management : Volume 7
International Journal of System Assurance Engineering and Management : Volume 7, Issue 4, December 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 1, Supplement,December 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 3, September 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 2, June 2016
International Journal of System Assurance Engineering and Management : Volume 7, Issue 1, March 2016
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An intelligent technique for condition based self-maintenance of aluminum electrolytic capacitors
Determinants of bank profits and its persistence in Indian Banks: a study in a dynamic panel data framework
Maintenance cost minimization of manufacturing systems using PSO under reliability constraint
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Uncertainty analysis of an industrial system using Intuitionistic Fuzzy Set Theory
Dynamic spare parts transportation model for Arctic production facility
An expert-based approach to production performance analysis of oil and gas facilities considering time-independent Arctic operating conditions
Analytical investigation of parameters effect on lightning-induced overvoltages on overhead lines
International Journal of System Assurance Engineering and Management : Volume 6
International Journal of System Assurance Engineering and Management : Volume 5
International Journal of System Assurance Engineering and Management : Volume 4
International Journal of System Assurance Engineering and Management : Volume 3
International Journal of System Assurance Engineering and Management : Volume 2
International Journal of System Assurance Engineering and Management : Volume 1

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Maintenance cost minimization of manufacturing systems using PSO under reliability constraint

Content Provider Springer Nature Link
Author Loganathan, M. K. Gandhi, O. P.
Copyright Year 2015
Abstract Profit is a main objective of production units, and minimization of its maintenance cost will help to achieve it. But with no compromise with plant machinery reliability constraints. Manufacturing systems do require maintenance, but deferring it due to production constraints may increase its requirements, resulting in the increased cost. The experience shows that carrying out of the preventive maintenance (PM) helps in avoidance of catastrophic failures, but this needs to be optimized. An optimal PM interval will minimize maintenance cost, while maintaining their lower bound reliability. Most existing optimization models do not address this issue especially in the context of real life industries. Particle swarm optimization is an effective meta-heuristic technique and is extensively applied to find optimal solution for various engineering problems. In this paper, this is proposed for maintenance cost minimization of manufacturing systems under reliability constraint. An example is illustrated to demonstrate it.
Starting Page 47
Ending Page 61
Page Count 15
File Format PDF
ISSN 09756809
Journal International Journal of System Assurance Engineering and Management
Volume Number 7
Issue Number 1
e-ISSN 09764348
Language English
Publisher Springer India
Publisher Date 2015-08-11
Publisher Place New Delhi
Access Restriction One Nation One Subscription (ONOS)
Subject Keyword Maintenance cost Reliability constraint Particle swarm optimization (PSO) Manufacturing system 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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