2021
DOI: 10.1007/s00500-021-05854-7
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An economic-statistical design of simple linear profiles with multiple assignable causes using a combination of MOPSO and RSM

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Cited by 5 publications
(1 citation statement)
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“…They employed the NSGA-II algorithm to achieve proper nondominated solutions. Ershadi et al (2021) suggested a tri-objective mathematical programming model for the ESD of simple linear profile charts. They combined the multiple objective particle swarm optimisation (MOPSO) algorithm with the response surface methodology (RSM) to optimise three objective functions of the total cost, in-control average run length (ARL 0 ), as well as out-of-control average run length (ARL 1 ).…”
mentioning
confidence: 99%
“…They employed the NSGA-II algorithm to achieve proper nondominated solutions. Ershadi et al (2021) suggested a tri-objective mathematical programming model for the ESD of simple linear profile charts. They combined the multiple objective particle swarm optimisation (MOPSO) algorithm with the response surface methodology (RSM) to optimise three objective functions of the total cost, in-control average run length (ARL 0 ), as well as out-of-control average run length (ARL 1 ).…”
mentioning
confidence: 99%