Smart logistics with a maturity assessment perspective

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Özet

The logistics sector is influenced by digitalisation and technological advancement in improving sustainability and efficiency. Logistics companies, which are highly capable of incorporating innovative technologies into their business flows, have made profound impacts, ultimately leading to a transformation in logistics services. In this context, this study presents the current and target maturity levels to make an international logistics company smarter and provides recommendations as an improvement road map for the logistics sector. Within the scope of this research, nine dimensions and 36 maturity items of the smart logistics (SL) concept are discussed to assess the maturity levels using the weighted maturity score calculation model (WMSC), in which evaluation of all maturity items using the capability maturity model (CMM) maturity levels and calculation of the criteria weights using fuzzy DEMATEL (F-DEMATEL) is integrated. Computational results show that warehouse management systems and material flow control systems have lower maturity levels. Thus, product picking by voice, integrating the warehouse management system, ensures real-time updates and data integration, reducing stockouts and overstock.

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https://rdlopen.rawdatalibrary.net/r/munzur/1459Resmi atıflarda kullanılan kalıcı adres
DOI
https://doi.org/10.1504/ijmdm.2027.156286Yayıncı resmi DOI adresi
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dc.contributor.authorGöçmen Polat, Elifcan
dc.contributor.authorDerse, Onur
dc.date.accessioned2026-10-28T14:54:13.855518489Z
dc.date.available2026-10-28T14:54:13.855518489Z
dc.date.issued2026
dc.description.abstractThe logistics sector is influenced by digitalisation and technological advancement in improving sustainability and efficiency. Logistics companies, which are highly capable of incorporating innovative technologies into their business flows, have made profound impacts, ultimately leading to a transformation in logistics services. In this context, this study presents the current and target maturity levels to make an international logistics company smarter and provides recommendations as an improvement road map for the logistics sector. Within the scope of this research, nine dimensions and 36 maturity items of the smart logistics (SL) concept are discussed to assess the maturity levels using the weighted maturity score calculation model (WMSC), in which evaluation of all maturity items using the capability maturity model (CMM) maturity levels and calculation of the criteria weights using fuzzy DEMATEL (F-DEMATEL) is integrated. Computational results show that warehouse management systems and material flow control systems have lower maturity levels. Thus, product picking by voice, integrating the warehouse management system, ensures real-time updates and data integration, reducing stockouts and overstock.
dc.identifier.doi10.1504/ijmdm.2027.156286
dc.identifier.endpage460
dc.identifier.issn1462-4621
dc.identifier.issue5
dc.identifier.scopus2-s2.0-105049738490
dc.identifier.startpage437
dc.identifier.urihttps://rdlopen.rawdatalibrary.net/r/munzur/1459
dc.identifier.volume25
dc.language.isoen
dc.publisherInderscience Publishers
dc.relation.ispartofInternational Journal of Management and Decision Making
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.subjectfuzzy DEMATEL
dc.subjectIndustry 4.0
dc.subjectmaturity model
dc.subjectSL
dc.subjectsmart logistics
dc.titleSmart logistics with a maturity assessment perspective
dc.typeArticle
rdl.citation.scopus0
rdl.oa.statusclosed
rdl.scopus.quartileQ4
rdl.source.indexSCOPUS