A hybrid model for ranking critical successful factors of lean six sigma in the oil and gas industry
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Author (Corporation)
Publication date
2021
Typ of student thesis
Course of study
Collections
Type
01A - Journal article
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Editor (Corporation)
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Parent work
The TQM Journal
Special issue
DOI of the original publication
Link
Series
Series number
Volume
33
Issue / Number
8
Pages / Duration
1825-1844
Patent number
Publisher / Publishing institution
Emerald
Place of publication / Event location
Edition
Version
Programming language
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Practice partner / Client
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.
Keywords
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ISBN
ISSN
1754-2731
1754-274X
1754-274X
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Closed
License
Citation
Yazdi, A. K., Hanne, T., & Osorio Gómez, J. C. (2021). A hybrid model for ranking critical successful factors of lean six sigma in the oil and gas industry. The TQM Journal, 33(8), 1825–1844. https://doi.org/10.1108/TQM-02-2020-0030