RAP via constraint optimization genetic algorithm

The goal of the paper is to attain most effective resolution of redundancy allocation problem to optimize system reliability of a rubber plant by scrutiny of results utilizing the COGA with imprecise cost constraint. RAP could be distinguished as non-Poisson problem which calculates system’s reliabi...

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Bibliographic Details
Published inLife cycle reliability and safety engineering Vol. 10; no. 4; pp. 341 - 345
Main Authors Kumari, Sunita, Khurana, Pooja, Singla, Shakuntla
Format Journal Article
LanguageEnglish
Published Singapore Springer Singapore 01.12.2021
Subjects
Civil Engineering
Engineering
Mechanical Engineering
Original Research
Quality Control
Reliability
Safety and Risk
Redundancy allocation problem (RAP)
Constraint optimization genetic algorithm (COGA)
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Summary:The goal of the paper is to attain most effective resolution of redundancy allocation problem to optimize system reliability of a rubber plant by scrutiny of results utilizing the COGA with imprecise cost constraint. RAP could be distinguished as non-Poisson problem which calculates system’s reliability assuming some specified constraints. This technique is utilized to allocate the most effective redundancy approach for every part to spice up the reliability of the manufacturing or other systems. It is an attempt to solve RAP for industrial and manufacturing system which has not been carried out by earlier researchers.
ISSN:2520-1352
2520-1360
DOI:10.1007/s41872-021-00173-0