Advertisement

AB-SD Hybrid Modelling Approach: A Framework for Evaluating Industrial Sustainability Scenarios

  • Melissa DemartiniEmail author
  • Filippo Bertani
  • Flavio Tonelli
Conference paper
Part of the Studies in Computational Intelligence book series (SCI, volume 803)

Abstract

The transformation of industry towards improved sustainability results from a strategic complex setting of factors and through a transformation process. However, such process requires methodologies and tools that support and facilitate the communication and cooperation of different players and their interactions. Hybrid modelling approaches have gained prominence exceeding limitations of traditional methodologies and tools with respect to complexity arisen of industrial sustainability strategies. This paper proposes a hybrid modelling approach based on Agent Based and System Dynamics supporting the analysis and redesign of industrial areas based on sustainable strategy with industrial symbiosis. The results of this work suggest that the hybrid modelling approach can provide useful information about the effectiveness of sustainable issues. Additionally, the model can be applied as a generic framework to different economic sectors including manufacturing, energy system and agriculture.

Keywords

Industrial sustainability Industrial symbiosis Hybrid modelling approach Agent based (AB) System dynamics (SD) 

References

  1. Abdelghany, M., Eltawil, A.B.: Linking approaches for multi-methods simulation in healthcare systems planning and management. Int. J. Ind. Syst. Eng. 10(2), 1–16 (2017)Google Scholar
  2. Baki, S., Koutiva, I., Makropoulos, C.: A hybrid artificial intelligence modelling framework for the simulation of the complete, socio-technical, urban water system (2012)Google Scholar
  3. Chertow, M.R.: Industrial symbiosis: literature and taxonomy. Ann. Rev. Energy Environ. 25, 313–337 (2000)CrossRefGoogle Scholar
  4. Demartini, M., Tonelli, F., Bertani, F.: Approaching industrial symbiosis through agent-based modeling and system dynamics. Studies in computational intelligence, 762.th edn, pp. 171–185. Springer, Cham (2018)Google Scholar
  5. Demartini, M., Tonelli, F., Damiani, L., Revetria, R., Cassettari, L.: Digitalization of manufacturing execution systems: the technology for realizing future smart factories. In: Proceedings of the Summer School Francesco Turco, September 2017, pp. 326–333 (2017)Google Scholar
  6. Elia, V., et al.: Assessing the efficiency of a PSS solution for waste collection: a simulation based approach base approach. Proc. Cirp 47, 252–257 (2016)CrossRefGoogle Scholar
  7. Faust, K.M., Abraham, D.M., DeLaurentis, D.: Coupled human and water infrastructure systems sector interdependencies: framework evaluating the impact of cities experiencing urban decline. J. Water Resour. Plan. Manag. 143(8), 04017043 (2017)CrossRefGoogle Scholar
  8. Kortelainen, S., Lättilä, L.: Hybrid modeling approach to competitiveness through fast strategy. Int. J. Innov. Technol. Manag. 10(05), 1340016 (2013)CrossRefGoogle Scholar
  9. Nasirzadeh, F., Khanzadi, M., Mir, M.: A hybrid simulation framework for modelling construction projects using agent-based modelling and system dynamics: an application to model construction workers’ safety behavior. Int. J. Constr. Manag. 18(2), 132–143 (2018)Google Scholar
  10. Tonelli, F., Taticchi, P.: Industrial sustainability: challenges, perspectives, actions. Int. J. Bus. Innov. Res. 7(2), 143–163 (2013)CrossRefGoogle Scholar
  11. Wang, B., Brême, S., Moon, Y.B.: Hybrid modeling and simulation for complementing lifecycle assessment. Comput. Ind. Eng. 69(1), 77–88 (2014)CrossRefGoogle Scholar
  12. Zhang, Y., Zheng, H., Chen, B., Su, M., Liu, G.: A review of industrial symbiosis research: theory and methodology. Front. Earth Sci. 9(1), 91–104 (2014)CrossRefGoogle Scholar

Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  • Melissa Demartini
    • 1
    Email author
  • Filippo Bertani
    • 1
  • Flavio Tonelli
    • 1
  1. 1.Department of Mechanical Engineering, Energetics, Management and Transportation (DIME)University of GenoaGenoaItaly

Personalised recommendations