Ulutas, AlptekinTopal, Ayse2024-11-072024-11-0720221432-76431433-7479https://doi.org/10.1007/s00500-021-06374-0https://hdl.handle.net/11480/14726Increasing competition as a result of globalization has forced the businesses to increase efficiency by focusing on the core competencies. This led businesses to outsource logistics. As a result, most of the businesses started to use third-party logistics (3PLs). There are various and conflicting criteria involved in 3PL selection, thus the selection of 3PL is a complex task for businesses. There are several methods in the literature used for 3PL selection, most of them are multi-criteria decision-making methods. A new hybrid model including Rough step-wise weight assessment ratio analysis (SWARA), Rough preference selection Index (RPSI), and Rough improved operational competitiveness rating analysis (IOCRA) has been used to select optimal third-party logistics providers in this study. There are two contributions to this study. First one is the development of a new hybrid rough model for 3PL selection. Second one is addressing the 3PL selection decision problem with newly developed Rough PSI and Rough IOCRA methods. Using this model and conducting a comprehensive analysis, the best option as a 3PL provider may be determined as a partner for logistics. The model effectiveness has been tested in a real case with a textile business and several 3PL providers.eninfo:eu-repo/semantics/closedAccess3PL provider selectionRough SWARARPSIRough IOCRAArticle2642021203210.1007/s00500-021-06374-02-s2.0-85124236119Q2WOS:000715699800007Q2