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Cost minimization of repairable systems subject to availability constraints using efficient cuckoo optimization algorithm
Author(s) -
Mellal Mohamed Arezki,
Zio Enrico,
Williams Edward J.
Publication year - 2020
Publication title -
quality and reliability engineering international
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.913
H-Index - 62
eISSN - 1099-1638
pISSN - 0748-8017
DOI - 10.1002/qre.2617
Subject(s) - cuckoo , redundancy (engineering) , computer science , mathematical optimization , minification , key (lock) , reliability engineering , constraint (computer aided design) , component (thermodynamics) , set (abstract data type) , algorithm , engineering , mathematics , mechanical engineering , zoology , physics , computer security , biology , thermodynamics , programming language
System availability is a key element for any industry. System designers and operators try to do their best to maintain the required availability of the systems to avoid production stoppages. They set up and undertake different maintenances, and these interventions imply cost. Therefore, the goal is to minimize the cost, but considering the constraint of the availability requirement. The problem involves three main aspects: redundancy allocation, component failure rates, and repair rates. In this paper, a novel solution approach is proposed based on an efficient cuckoo optimization algorithm (EF‐COA). Two numerical case studies are solved, and the results confirm the effectiveness of the approach proposed.