A hybrid model for ranking critical successful factors of lean six sigma in the oil and gas industry
dc.contributor.author | Yazdi, Amir Karbassi | |
dc.contributor.author | Hanne, Thomas | |
dc.contributor.author | Osorio Gómez, Juan Carlos | |
dc.date.accessioned | 2024-03-19T08:09:36Z | |
dc.date.available | 2024-03-19T08:09:36Z | |
dc.date.issued | 2021 | |
dc.description.abstract | Purpose - 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.doi | 10.1108/TQM-02-2020-0030 | |
dc.identifier.issn | 1754-2731 | |
dc.identifier.issn | 1754-274X | |
dc.identifier.uri | https://irf.fhnw.ch/handle/11654/43141 | |
dc.issue | 8 | |
dc.language.iso | en | |
dc.publisher | Emerald | |
dc.relation.ispartof | The TQM Journal | |
dc.subject.ddc | 330 - Wirtschaft | |
dc.title | A hybrid model for ranking critical successful factors of lean six sigma in the oil and gas industry | |
dc.type | 01A - Beitrag in wissenschaftlicher Zeitschrift | |
dc.volume | 33 | |
dspace.entity.type | Publication | |
fhnw.InventedHere | Yes | |
fhnw.ReviewType | Anonymous ex ante peer review of a complete publication | |
fhnw.affiliation.hochschule | Hochschule für Wirtschaft | de_CH |
fhnw.affiliation.institut | Institut für Wirtschaftsinformatik | de_CH |
fhnw.openAccessCategory | Closed | |
fhnw.pagination | 1825-1844 | |
fhnw.publicationState | Published | |
relation.isAuthorOfPublication | 35d8348b-4dae-448a-af2a-4c5a4504da04 | |
relation.isAuthorOfPublication.latestForDiscovery | 35d8348b-4dae-448a-af2a-4c5a4504da04 |
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