{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,8]],"date-time":"2026-03-08T22:06:14Z","timestamp":1773007574012,"version":"3.50.1"},"reference-count":56,"publisher":"MDPI AG","issue":"14","license":[{"start":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T00:00:00Z","timestamp":1626048000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sustainability"],"abstract":"<jats:p>The production and supply chain management of biofuels from organic waste as raw material has been identified as a promising strategy in the field of renewable energies and circular economy initiatives. This industry involves complex tasks such as strategic land use, feedstock purchasing, production plant location, production capacity strategy, and material flows, which can be solved by mathematical modeling. The study proposed a multi-objective mixed-integer linear programming model to design a sustainable supply chain of biofuels with forest residues from its triple function: economic, environmental, and social. The trade-offs between the proposed objectives were determined with computational results. The proposed objectives were profit maximization, CO2 minimization, and employment generation maximization. Thus, the proposed model serves as a tool for decision-making, allowing the projection of a long-term structure of the biofuel supply chains and contribute to the United Nations Sustainable Development Goals.<\/jats:p>","DOI":"10.3390\/su13147774","type":"journal-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T21:56:52Z","timestamp":1626127012000},"page":"7774","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":25,"title":["Multi-Objective Optimization to Support the Design of a Sustainable Supply Chain for the Generation of Biofuels from Forest Waste"],"prefix":"10.3390","volume":"13","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8128-5356","authenticated-orcid":false,"given":"Edgar","family":"Gutierrez-Franco","sequence":"first","affiliation":[{"name":"Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32826, USA"},{"name":"Center for Latin-American Logistics Innovation, Massachusetts Institute of Technology, Global SCALE Network, LOGYCA, Bogota 110111, Colombia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9384-053X","authenticated-orcid":false,"given":"Andres","family":"Polo","sequence":"additional","affiliation":[{"name":"School of Engineering, Fundacion Universitaria Agraria de Colombia, Bogota 110111, Colombia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5871-9390","authenticated-orcid":false,"given":"Nicolas","family":"Clavijo-Buritica","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management, University of Porto, 4099-002 Porto, Portugal"},{"name":"Institute for Systems and Computer Engineering, Technology and Science INESC TEC, 4200-465 Porto, Portugal"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6833-8612","authenticated-orcid":false,"given":"Luis","family":"Rabelo","sequence":"additional","affiliation":[{"name":"Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32826, USA"}]}],"member":"1968","published-online":{"date-parts":[[2021,7,12]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"608","DOI":"10.1016\/j.rser.2013.03.049","article-title":"Biomass supply chain design and analysis: Basis, overview, modeling, challenges, and future","volume":"24","author":"Sharma","year":"2013","journal-title":"Renew. 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