2020
DOI: 10.1108/ijqrm-06-2019-0181
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Multi-objective optimization of Gas Station performance using response surface methodology

Abstract: PurposeIn this paper, the performance of a specific gas station (Parvin) has been studied and investigated. The purpose of this research is to design a second-order regression model based on simulated data to optimize the queuing system in line with the fuel sales and costs. Thus, the influential variables including the number of pumps and the number of pump operators need to be optimally determined.Design/methodology/approachThe simulation was combined with design of experiments (DoE) techniques to achieve a … Show more

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Cited by 4 publications
(2 citation statements)
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“…2, 4, 6 and 8 are the median values of the neighbouring order mentioned above. If the comparison between indicators A and B results in A, the comparison between indicators B and A is judged as 1/ ij a [13].…”
Section: Fig1: Ahp Fuzzy Comprehensive Valuation Modelmentioning
confidence: 99%
“…2, 4, 6 and 8 are the median values of the neighbouring order mentioned above. If the comparison between indicators A and B results in A, the comparison between indicators B and A is judged as 1/ ij a [13].…”
Section: Fig1: Ahp Fuzzy Comprehensive Valuation Modelmentioning
confidence: 99%
“…Sometimes, it is assumed that there are different types of customers; see Wen et al [5] and Dudin et al [6]. Another problem that is often considered is to determine the optimal number of servers in the system; see Asadzadeh et al [7].…”
Section: Introductionmentioning
confidence: 99%