Flows optimisation of industrial symbiosis based on bi-objective mathematical modelling

Autor: Daniel Roy, Hajar Nouinou, Sophie Hennequin
Přispěvatelé: Laboratoire d'Optimisation des Systèmes Industriels (LOSI), Laboratoire Informatique et Société Numérique (LIST3N), Université de Technologie de Troyes (UTT)-Université de Technologie de Troyes (UTT), Laboratoire de Génie Informatique, de Production et de Maintenance (LGIPM), Université de Lorraine (UL)
Jazyk: angličtina
Rok vydání: 2021
Předmět:
Zdroj: International Journal of Integrated Supply Management
International Journal of Integrated Supply Management, 2021, 14 (1), pp.77-100. ⟨10.1504/IJISM.2021.10034018⟩
International Journal of Integrated Supply Management, Inderscience, 2021, 14, ⟨10.1504/IJISM.2021.10034018⟩
ISSN: 1477-5360
1741-8097
Popis: International audience; It seems clear that industrial systems can no longer continue to operate by taking unrestricted amounts of natural resources, especially when these are non-renewable. In order to limit this over-consumption, the industrial symbiosis principle is an interesting solution. The objective here is to determine, using a mathematical bi-objective model, the optimal flow allocations within a symbiosis. Our model applies at the tactical and operational levels, i.e., when the symbiosis is already defined. The aim is to study the best possible flow distribution in order to maximise both the symbiosis overall economic and symbiotic profits (defined as the difference between internal and external flows). With this in mind, we will conduct a numerical application based on a real example with generic values before presenting an optimisation algorithm based on the ε-constraint method. Finally, simulations will be performed to study the evolution of results.
Databáze: OpenAIRE