Evaluation of Crawler Cranes for Large-Scale Construction and Infrastructure Projects: an Intuitionistic Fuzzy Consensus-Based Approach

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dc.authorscopusid57194545622
dc.authorscopusid59412512200
dc.authorscopusid55778680000
dc.contributor.authorGörçün, Ö.F.
dc.contributor.authorSaha, A.
dc.contributor.authorEcer, F.
dc.date.accessioned2025-03-15T20:07:00Z
dc.date.available2025-03-15T20:07:00Z
dc.date.issued2025
dc.departmentKadir Has Universityen_US
dc.department-tempGörçün Ö.F., Department of Business Administration at Kadir Has University, Cibali Av. Kadir Has St. Fatih, Istanbul, 34083, Türkiye; Saha A., Department of Computing Technologies, SRM Institute of Science and Technology (SRMIST), Tamil Nadu, Kattankulathur, 603203, India, Chief Research Fellow, Faculty of Fundamental Sciences, Department of Information Technologies, Vilnius Gediminas Technical University, Vilnius, Lithuania; Ecer F., Sub-Department of Operations Research, Faculty of Economics and Administrative Sciences, Afyon Kocatepe University, Afyonkarahisar, Türkiyeen_US
dc.description.abstractChoosing the proper and best crawler crane is a complicated decision-making issue due to several conflicting criteria and vagueness in the construction and project logistics industries. This decision-making problem has become compounded due to insufficient studies on crawler crane selection in the relevant literature. The current study introduces an intuitionistic fuzzy consensus-based complex proportional assessment model (IF-c-COPRAS) developed to address the existing research gaps and identify the best and most suitable crawler crane. The acquired conclusions revealed that the most potent criterion influencing the crawler crane selection is "job potential," with a weighted score of 0.7665, followed by "periodic control and inspection" and "crane model year." Once the following findings of the paper regarding crawler crane variants are evaluated, the crawler crane manufactured by Liebherr Co. is the most feasible alternative, with a relative significance score of 0.8324. These outcomes provide sensible implications and insights for practitioners and decision-makers in the construction and project logistics (overweight/oversized cargo lifting and transport firms) industries, providing an applicable guideline for improving the quality of construction operations. Additionally, crane manufacturers can consider these managerial and policy implications and insights to improve the abilities and quality of the crawler cranes they produce. © 2025 Elsevier Inc.en_US
dc.identifier.doi10.1016/j.jii.2025.100784
dc.identifier.issn2452-414X
dc.identifier.scopus2-s2.0-85217812727
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.jii.2025.100784
dc.identifier.urihttps://hdl.handle.net/20.500.12469/7227
dc.identifier.volume44en_US
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relation.ispartofJournal of Industrial Information Integrationen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectConsensus Reachingen_US
dc.subjectConstruction Industryen_US
dc.subjectCrawler Craneen_US
dc.subjectIntuitionistic Fuzzy Setsen_US
dc.subjectMcdmen_US
dc.subjectNon-Linear Optimizationen_US
dc.titleEvaluation of Crawler Cranes for Large-Scale Construction and Infrastructure Projects: an Intuitionistic Fuzzy Consensus-Based Approachen_US
dc.typeArticleen_US
dspace.entity.typePublication

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