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Agent-based modelling for assessing the economic and environmental sustainability of pss

• Veronica Arioli
• Roberto Sala
• Fabiana Pirola
• Giuditta Pezzotta

(2023). ECMS 2023, 37th Proceedings
Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation.
DOI: http://doi.org/10.7148/2023
ISSN: 2522-2422 (ONLINE)
ISSN: 2522-2414 (PRINT)
ISSN: 2522-2430 (CD-ROM)
ISBN: 978-3-937436-80-7
ISBN: 978-3-937436-79-1 (CD) Communications of the ECMS Volume 37, Issue 1, June 2023, Florence, Italy June 20th – June 23rd, 2023

https://doi.org/10.7148/2023-0033

Veronica arioli, Roberto sala, Fabiana pirola, Giuditta pezzotta (2023). Agent-Based Modelling for Assessing the Economic and Environmental Sustainability of PSS, ECMS 2023, Proceedings Edited by: Enrico Vicario, Romeo Bandinelli, Virginia Fani, Michele Mastroianni, European Council for Modelling and Simulation. doi:10.7148/2023-0033

To remain competitive, manufacturing companies are marketing to customers business offerings based on integrated packages of products and services – Product-Service Systems (PSS). While PSS offerings allow foreseeing economical benefits for customers and manufacturers, the sustainability assessment of PSS has not been extensively studied in the literature. While it is recognized that sustainability can be evaluated under the three dimensions of the Triple Bottom Line (TBL) – i.e. economic, environmental, and social – existing assessment methods usually concentrate only on a single one, neglecting the interplay with the other two. Thus, a more comprehensive method for the evaluation of PSS sustainability is required. This paper proposes the use of Agent-Based Modelling (ABM) as a method for jointly assessing the economic and environmental sustainability of PSS offerings. The social dimension is not considered since the research about the impacts of PSS offering on the social dimension is still at its beginning, as a consequence of the difficulties in finding common social sustainability indicators. The proposed approach overcomes the limitations of traditional sustainability assessment methods by allowing for dealing with the stochastic nature of reality, testing multiple scenarios, and understanding the impacts of PSS solutions on the economic and environmental sustainability in the long-term perspective.