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

dc.authoridEcer, Fatih/0000-0002-6174-3241
dc.authorscopusid57194545622
dc.authorscopusid59412512200
dc.authorscopusid55778680000
dc.authorwosidEcer, Fatih/Aae-8455-2020
dc.authorwosidGorcun, Omer Faruk/Adf-0541-2022
dc.authorwosidEcer, Fatih/K-2579-2018
dc.contributor.authorGorcun, Omer Faruk
dc.contributor.authorSaha, Abhijit
dc.contributor.authorEcer, Fatih
dc.date.accessioned2025-03-15T20:07:00Z
dc.date.available2025-03-15T20:07:00Z
dc.date.issued2025
dc.departmentKadir Has Universityen_US
dc.department-temp[Gorcun, Omer Faruk] Kadir Has Univ, Dept Business Adm, Cibali Ave Kadir Has St, TR-34083 Fatih, Istanbul, Turkiye; [Saha, Abhijit] SRM Inst Sci & Technol SRMIST, Dept Comp Technol, Kattankulathur 603203, Tamil Nadu, India; [Saha, Abhijit] Vilnius Gediminas Tech Univ, Fac Fundamental Sci, Dept Informat Technol, Vilnius, Lithuania; [Ecer, Fatih] Afyon Kocatepe Univ, Fac Econ & Adm Sci, Sub Dept Operat Res, Afyonkarahisar, Turkiyeen_US
dc.descriptionEcer, Fatih/0000-0002-6174-3241en_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.en_US
dc.description.sponsorshiphave approved the manuscript and agree with its submission to the In-ternational Journal of Finance & Economics.en_US
dc.description.woscitationindexScience Citation Index Expanded
dc.identifier.doi10.1016/j.jii.2025.100784
dc.identifier.issn2467-964X
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.volume44en_US
dc.identifier.wosWOS:001428554700001
dc.identifier.wosqualityQ1
dc.language.isoenen_US
dc.publisherElsevieren_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCrawler Craneen_US
dc.subjectConstruction Industryen_US
dc.subjectMcdmen_US
dc.subjectIntuitionistic Fuzzy Setsen_US
dc.subjectConsensus Reachingen_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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