The alternative ranking using two-step logarithmic normalization method for benchmarking the supply chain performance of countries

Basit Öğe Kaydı
dc.authoridBaysal, Zeynep/0000-0001-5787-9106
dc.authoridKara, Karahan/0000-0002-1359-0244
dc.authoridPamucar, Dragan/0000-0001-8522-1942
dc.authoridSimic, Vladimir/0000-0001-5709-3744
dc.contributor.authorKara, Karahan
dc.contributor.authorYalcin, Galip Cihan
dc.contributor.authorSimic, Vladimir
dc.contributor.authorBaysal, Zeynep
dc.contributor.authorPamucar, Dragan
dc.date.accessioned2025-01-21T16:44:52Z
dc.date.available2025-01-21T16:44:52Z
dc.date.issued2024
dc.departmentKırıkkale Üniversitesi
dc.description.abstractSupply chain performance signifies the success of countries in material and information flow within international trade activities. Countries strive to enhance their supply chain performance by increasing connectivity with partner countries and reducing dwell times at logistics hubs. In this study, the supply chain performance of countries based on international tracking indicators is examined using a multi -criteria decision -making approach. The paper encompasses two primary objectives. The first objective is the determination of the supply chain performance of countries. The second one is the development of a novel alternative ranking method. The study employs 10 supply chain key performance indicators as criteria and utilizes data from 72 countries. The data is sourced from logistics performance index reports published by the World Bank. The modified preference selection index (MPSI) is employed for criterion weighting. For the ranking of countries, a novel alternative ranking method named the Alternative Ranking using two-step LOgarithmic Normalization (ARLON) method is proposed. Through the implementation of the MPSI-ARLON hybrid method, supply chain performance and rankings of countries are computed. The findings are supported by sensitivity and comparative analyses. Furthermore, robustness tests are conducted for the ARLON method. The research concludes by presenting implications and managerial insights derived from the ARLON method.
dc.identifier.doi10.1016/j.seps.2024.101822
dc.identifier.issn0038-0121
dc.identifier.issn1873-6041
dc.identifier.scopus2-s2.0-85183525097
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://doi.org/10.1016/j.seps.2024.101822
dc.identifier.urihttps://hdl.handle.net/20.500.12587/25537
dc.identifier.volume92
dc.identifier.wosWOS:001175894200001
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoen
dc.publisherElsevier Science Inc
dc.relation.ispartofSocio-Economic Planning Sciences
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_20241229
dc.subjectSupply chain performance; Dwell time; Connectivity; MPSI; ARLON; MCDM
dc.titleThe alternative ranking using two-step logarithmic normalization method for benchmarking the supply chain performance of countries
dc.typeArticle

Dosyalar

Koleksiyon

WOS İndeksli Yayınlar Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu