A Framework for Industrial Symbiosis Systems for Agent-Based Simulation

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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.
Original languageEnglish
Title of host publicationProceedings - 21st IEEE Conference on Business Informatics, CBI 2019
EditorsDmitriy Novikov, Jorg Becker
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages419-428
Number of pages10
ISBN (Electronic)978-1-7281-0650-2
ISBN (Print)978-1-7281-0651-9
DOIs
Publication statusPublished - 22 Aug 2019
Event21st IEEE Conference on Business Informatics, CBI 2019 - National Research University, Moscow, Russian Federation
Duration: 15 Jul 201917 Jul 2019
Conference number: 21
http://cbi2019.moscow/

Publication series

NameProceedings - 21st IEEE Conference on Business Informatics, CBI 2019
PublisherIEEE
Volume1
ISSN (Print)2378-1963
ISSN (Electronic)2378-1971

Conference

Conference21st IEEE Conference on Business Informatics, CBI 2019
Abbreviated titleCBI 2019
CountryRussian Federation
CityMoscow
Period15/07/1917/07/19
Internet address

Fingerprint

Symbiosis
Agent-based Simulation
Agent-based Modeling
Literature Review
Attribute
Strategic Management
Land fill
Framework
Industrial symbiosis
Agent-based simulation
Action Potential
Information Sharing
Sharing
Economics
Manufacturing
Model
Costs
Industry

Keywords

  • Agent-based Modelling
  • Circular economy
  • Decision support
  • Industrial symbiosis
  • Multi agent technology

Cite this

Fraccascia, L., Yazdanpanah, V., van Capelleveen, G. C., & Yazan, D. M. (2019). A Framework for Industrial Symbiosis Systems for Agent-Based Simulation. In D. Novikov, & J. Becker (Eds.), Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019 (pp. 419-428). [8808068] (Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019; Vol. 1). Piscataway, NJ: IEEE. https://doi.org/10.1109/CBI.2019.00055
Fraccascia, Luca ; Yazdanpanah, Vahid ; van Capelleveen, Guido C. ; Yazan, Devrim Murat. / A Framework for Industrial Symbiosis Systems for Agent-Based Simulation. Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019. editor / Dmitriy Novikov ; Jorg Becker. Piscataway, NJ : IEEE, 2019. pp. 419-428 (Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019).
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title = "A Framework for Industrial Symbiosis Systems for Agent-Based Simulation",
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.",
keywords = "Agent-based Modelling, Circular economy, Decision support, Industrial symbiosis, Multi agent technology",
author = "Luca Fraccascia and Vahid Yazdanpanah and {van Capelleveen}, {Guido C.} and Yazan, {Devrim Murat}",
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Fraccascia, L, Yazdanpanah, V, van Capelleveen, GC & Yazan, DM 2019, A Framework for Industrial Symbiosis Systems for Agent-Based Simulation. in D Novikov & J Becker (eds), Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019., 8808068, Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019, vol. 1, IEEE, Piscataway, NJ, pp. 419-428, 21st IEEE Conference on Business Informatics, CBI 2019, Moscow, Russian Federation, 15/07/19. https://doi.org/10.1109/CBI.2019.00055

A Framework for Industrial Symbiosis Systems for Agent-Based Simulation. / Fraccascia, Luca ; Yazdanpanah, Vahid ; van Capelleveen, Guido C.; Yazan, Devrim Murat.

Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019. ed. / Dmitriy Novikov; Jorg Becker. Piscataway, NJ : IEEE, 2019. p. 419-428 8808068 (Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019; Vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

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Fraccascia L, Yazdanpanah V, van Capelleveen GC, Yazan DM. A Framework for Industrial Symbiosis Systems for Agent-Based Simulation. In Novikov D, Becker J, editors, Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019. Piscataway, NJ: IEEE. 2019. p. 419-428. 8808068. (Proceedings - 21st IEEE Conference on Business Informatics, CBI 2019). https://doi.org/10.1109/CBI.2019.00055