Print Email Facebook Twitter Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC Title Embedding carbon impact assessment in multi-criteria supplier segmentation using ELECTRE TRI-rC Author Rezaei, J. (TU Delft Transport and Logistics) Kadziński, Miłosz (Poznan University of Technology) Tsimopoulou, V. Tavasszy, Lorant (TU Delft Transport and Logistics; TU Delft Transport and Planning) Date 2017 Abstract In the past decade, there has been an increasing interest in green supply chain management, which integrates environmental thinking into supply chain management. Assessing a supplier’s potential for improvement is very important when an organization wants to achieve certain environmental targets concerning their supply base, taking into account the limited resources available. In this paper, incorporating environmental evaluation criteria into a comprehensive supplier segmentation approach called ‘supplier potential matrix’ (SPM), a green supplier segmentation is proposed to segment the suppliers. Two overarching dimensions—supplier’s capabilities and supplier’s willingness—are used to evaluate the supplier’s green potential. The two dimensions are measured by multiple criteria. A sorting method called ELECTRE TRI-rC is used to solve the resulted multi-criteria decision-making problem. In order to make a more meaningful distinction, a simple method is also proposed to assess the suppliers with respect to the carbon footprint of the raw materials they supply. The results of this assessment are combined with the ones of the SPM, resulting in a more useful segmentation. The proposed model is applied to a sample containing the suppliers of a large international company. Subject Corporate carbon footprintELECTRE TRI-rCGreen supply chain managementMCDMSupplier evaluationSupplier potential matrix (SPM)Supplier segmentation To reference this document use: http://resolver.tudelft.nl/uuid:3f349b1b-674f-4ffe-bae6-19c8e08ffa0e DOI https://doi.org/10.1007/s10479-017-2454-y ISSN 0254-5330 Source Annals of Operations Research, 1-23 Part of collection Institutional Repository Document type journal article Rights © 2017 J. Rezaei, Miłosz Kadziński, V. Tsimopoulou, Lorant Tavasszy Files PDF art_10.1007_s10479_017_2454_y_1.pdf 738.79 KB Close viewer /islandora/object/uuid:3f349b1b-674f-4ffe-bae6-19c8e08ffa0e/datastream/OBJ/view