Designing a Sustainable Supply Chain Network
Autor: | Jairo R. Montoya-Torres, Carlos A. Moreno-Camacho, Anicia Jaegler |
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Přispěvatelé: | Kedge Business School (Kedge BS) |
Jazyk: | angličtina |
Rok vydání: | 2019 |
Předmět: |
Linear programming
Computer science Supply chain 05 social sciences Context (language use) Environmental economics 7. Clean energy 12. Responsible consumption Variety (cybernetics) [SHS]Humanities and Social Sciences Network planning and design Greenhouse gas emissions · Mixed-integer-linear programming model 13. Climate action Greenhouse gas Supply chain network · Sustainablity · 0502 economics and business Sustainability 050501 criminology Supply chain network 050203 business & management 0505 law |
Zdroj: | Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future, 2019, 978-3-030-27476-4. ⟨10.1007/978-3-030-27477-1_2⟩ Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future ISBN: 9783030274764 SOHOMA |
DOI: | 10.1007/978-3-030-27477-1_2⟩ |
Popis: | International audience; This paper deals with the design of a sustainable supply chain in a high variety production environment. To respond to this challenge, a Mixed-Integer Linear Programming model is proposed. The economic criteria are the costs of transportation, and that of opening and operating manufacturing facilities; the environmental criterion is the level of CO2 emissions due to transportation and storage; and the social criterion is the number of created jobs and supplier assessment. A numer- ical experiment is derived from industrial data of the textile sector. The results show the existing trade-offs between sustainability goals in the supply chain design context. Moreover, the differences between network structures when the decision is guided by just one of the dimensions of sustainability are compared. Finally, future research opportunities are identified to include the dynamic evaluation in the sustainable supply chain network design context. |
Databáze: | OpenAIRE |
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