0561929 20230316105620.720221005235959.9 85142298466 000853066200012 10.1016/j.ifacol.2022.08.050 6 s. P cav_un_epca*05631472405-896366-71AmsterdamElsevier2022 Waste Management Suppliers Evaluation Optimization and Decision-Making AHP TOPSIS cav_un_auth*0437382 Cinnirella V. IT cav_un_auth*0398866 Carpitella Silvia UTIA-B Matematická teorie rozhodování Department of Decision Making Theory MTR MTR IT Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0437383 Coco A. IT cav_un_auth*0437384 Frangiamore D.D.M. IT cav_un_auth*0437385 Pezzino de Geronimo R. IT http://library.utia.cas.cz/separaty/2022/MTR/carpitella-0561929.pdf GA19-06569S GA ČR CZ cav_un_auth*0380559 Sustainable waste management is a fundamental service within the concept of smart cities development as well as social welfare and economic growth. With this recognition, the careful preliminary screening and consequent selection of reliable green suppliers is crucial. This process should be formalised and performed with relation to the various commodity sub-sectors that are relevant for companies operating within the field of reference. To such an aim, the present paper approaches the problem of supplier selection by proposing a Multi-Criteria Decision-Making (MCDM) model based on the integrated use of the Analytic Hierarchy Process (AHP) and the Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Such a methodological combination has been widely and successfully proposed in literature for the supplier selection problem. However, to the best of the authors’ knowledge, this is the first time that the mentioned MCDM tool is applied to suppliers of a real company operating in the waste management sector and according to pre-defined commodity sub-sectors of interest. This study aims to also highlight the different importance of technical, economic and environmental aspects towards a sustainable optimisation of such a fundamental city service as waste management is. cav_un_auth*0437386 IFAC Workshop on Control for Smart Cities CSC 2022 20220627 20220630 Sozopol BG AE 50000 50200 50204 2023 5 PR RVO:67985556 https://hdl.handle.net/11104/0335183 S n.a. Proceedings Paper Automation Control Systems 99 0.308 19.33 1.06 6668 Q3 Q3 2022 85142298466 SCOPUS PUBMED 000853066200012 WOS cav_un_epca*0563147 IFAC-PapersOnLine. Volume 55, Issue 11 - IFAC Workshop on Control for Smart Cities CSC 2022 Elsevier 2022 Amsterdam 66 71 2405-8963