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A framework for industrial symbiosis systems for agent-based simulation

A framework for industrial symbiosis systems for agent-based simulation
A framework for industrial symbiosis systems for agent-based simulation

The industrial symbiosis (IS) practice refers to replacing production inputs with wastes generated by other production processes, thus helping to close the loop of manufacturing processes. Companies adopting IS can reduce the amounts of wastes disposed of in landfills and primary inputs used in production processes, enhancing their production efficiency and reducing their production cost. The Agent-based modeling (ABM) approach has been recently adopted to advance the knowledge in the IS field, in particular to explore the extent to which the establishment of IS relationships can be affected by policy measures, benefit-sharing contracts, information-sharing tools, or social factors. However, the agentbased models proposed in the literature are highly different in terms of agents considered, their attributes, possible actions, and decisional rules. In particular, these models might result far from the real world, in terms of how the agents are modeled, as well as on the actions that they can undertake. The aim of this paper is to provide a general framework on how to model IS systems with ABM in a comprehensive way. The paper provides a literature review on IS aimed at identifying the potential agents in IS, their attributes, and their potential actions, shaped by technical, economic, and regulatory issues affecting the behavior of agents in terms of strategic management. Based on the results of the literature review, a general framework is proposed and discussed. This paper is expected to advance the knowledge on ABM for IS by providing useful suggestions to modelers and academicians.

Agent-based Modelling, Circular Economy, Decision support, Industrial Symbiosis, Multi agent Technology
2378-1963
419-428
IEEE
Fraccascia, Luca
fdb606a7-96f7-43e1-bc02-4cc7651afb33
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Van Capelleveen, Guido
0bbc696d-0764-4392-9f50-83c5b34d5daf
Yazan, Devrim Murat
84983095-8f6e-4dbe-baeb-c9cb6d4b2e84
Becker, Jorg
Novikov, Dmitriy
Fraccascia, Luca
fdb606a7-96f7-43e1-bc02-4cc7651afb33
Yazdanpanah, Vahid
28f82058-5e51-4f56-be14-191ab5767d56
Van Capelleveen, Guido
0bbc696d-0764-4392-9f50-83c5b34d5daf
Yazan, Devrim Murat
84983095-8f6e-4dbe-baeb-c9cb6d4b2e84
Becker, Jorg
Novikov, Dmitriy

Fraccascia, Luca, Yazdanpanah, Vahid, Van Capelleveen, Guido and Yazan, Devrim Murat (2019) A framework for industrial symbiosis systems for agent-based simulation. Becker, Jorg and Novikov, Dmitriy (eds.) In 2019 IEEE 21st Conference on Business Informatics (CBI). vol. 1, IEEE. pp. 419-428 . (doi:10.1109/CBI.2019.00055).

Record type: Conference or Workshop Item (Paper)

Abstract

The industrial symbiosis (IS) practice refers to replacing production inputs with wastes generated by other production processes, thus helping to close the loop of manufacturing processes. Companies adopting IS can reduce the amounts of wastes disposed of in landfills and primary inputs used in production processes, enhancing their production efficiency and reducing their production cost. The Agent-based modeling (ABM) approach has been recently adopted to advance the knowledge in the IS field, in particular to explore the extent to which the establishment of IS relationships can be affected by policy measures, benefit-sharing contracts, information-sharing tools, or social factors. However, the agentbased models proposed in the literature are highly different in terms of agents considered, their attributes, possible actions, and decisional rules. In particular, these models might result far from the real world, in terms of how the agents are modeled, as well as on the actions that they can undertake. The aim of this paper is to provide a general framework on how to model IS systems with ABM in a comprehensive way. The paper provides a literature review on IS aimed at identifying the potential agents in IS, their attributes, and their potential actions, shaped by technical, economic, and regulatory issues affecting the behavior of agents in terms of strategic management. Based on the results of the literature review, a general framework is proposed and discussed. This paper is expected to advance the knowledge on ABM for IS by providing useful suggestions to modelers and academicians.

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More information

e-pub ahead of print date: 1 July 2019
Published date: 22 August 2019
Venue - Dates: 21st IEEE Conference on Business Informatics, CBI 2019, , Moscow, Russian Federation, 2019-07-14 - 2019-07-16
Keywords: Agent-based Modelling, Circular Economy, Decision support, Industrial Symbiosis, Multi agent Technology

Identifiers

Local EPrints ID: 441449
URI: http://eprints.soton.ac.uk/id/eprint/441449
ISSN: 2378-1963
PURE UUID: 2e5c0c52-28d0-4344-8b31-ec274a24134c
ORCID for Vahid Yazdanpanah: ORCID iD orcid.org/0000-0002-4468-6193

Catalogue record

Date deposited: 12 Jun 2020 16:40
Last modified: 16 Sep 2021 11:14

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Contributors

Author: Luca Fraccascia
Author: Vahid Yazdanpanah ORCID iD
Author: Guido Van Capelleveen
Author: Devrim Murat Yazan
Editor: Jorg Becker
Editor: Dmitriy Novikov

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