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

Hajar Nouinou, Daniel Roy and Sophie Hennequin

International Journal of Integrated Supply Management, 2021, vol. 14, issue 1, 77-100

Abstract: 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.

Keywords: industrial symbiosis; mathematical modelling; optimisation; materials flows; waste management. (search for similar items in EconPapers)
Date: 2021
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=113568 (text/html)
Access to full text is restricted to subscribers.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:ids:ijisma:v:14:y:2021:i:1:p:77-100

Access Statistics for this article

More articles in International Journal of Integrated Supply Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().