A hybrid model for ranking critical successful factors of lean six sigma in the oil and gas industry

dc.contributor.authorYazdi, Amir Karbassi
dc.contributor.authorHanne, Thomas
dc.contributor.authorOsorio Gómez, Juan Carlos
dc.date.accessioned2024-03-19T08:09:36Z
dc.date.available2024-03-19T08:09:36Z
dc.date.issued2021
dc.description.abstractPurpose - The aim of this paper is to find and prioritise multiple critical success factors (CSFs) for the implementation of LSS in the oil and gas industry. Design/methodology/approach - Based on a preselected list of possible CFSs, experts are involved in screening them with the Delphi method. As a result, 22 customised CSFs are selected. To prioritise these CSFs, the step-wise weight assessment ratio analysis (SWARA) method is applied to find weights corresponding to the decision-making preferences. Since the regular permutation-based weight assessment can be classified as NP-hard, the problem is solved by a metaheuristic method. For this purpose, a genetic algorithm (GA) is used. Findings - The resulting prioritisation of CSFs helps companies find out which factors have a high priority in order to focus on them. The less important factors can be neglected and thus do not require limited resources. Research limitations/implications - Only a specific set of methods have been considered. Practical implications - The resulting prioritisation of CSFs helps companies find out which factors have a high priority in order to focus on them.Social implicationsThe methodology supports respective evaluations in general. Originality/value - The paper contributes to the very limited research on the implementation of LSS in the oil and gas industry, and, in addition, it suggests the usage of SWARA, a permutation method and a GA, which have not yet been researched, for the prioritisation of CSFs of LSS.
dc.identifier.doi10.1108/TQM-02-2020-0030
dc.identifier.issn1754-2731
dc.identifier.issn1754-274X
dc.identifier.urihttps://irf.fhnw.ch/handle/11654/43141
dc.issue8
dc.language.isoen
dc.publisherEmerald
dc.relation.ispartofThe TQM Journal
dc.subject.ddc330 - Wirtschaft
dc.titleA hybrid model for ranking critical successful factors of lean six sigma in the oil and gas industry
dc.type01A - Beitrag in wissenschaftlicher Zeitschrift
dc.volume33
dspace.entity.typePublication
fhnw.InventedHereYes
fhnw.ReviewTypeAnonymous ex ante peer review of a complete publication
fhnw.affiliation.hochschuleHochschule für Wirtschaftde_CH
fhnw.affiliation.institutInstitut für Wirtschaftsinformatikde_CH
fhnw.openAccessCategoryClosed
fhnw.pagination1825-1844
fhnw.publicationStatePublished
relation.isAuthorOfPublication35d8348b-4dae-448a-af2a-4c5a4504da04
relation.isAuthorOfPublication.latestForDiscovery35d8348b-4dae-448a-af2a-4c5a4504da04
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