Manufacturing companies are increasingly shifting their value proposition from a product-centric perspective to Product-Service-System (PSS). This evolution allows companies to improve the customisation of their offer and to contribute to reduce material flows and consumption, thus enhancing sustainability. However, when companies introduce PSS offers, they have to face higher complexity and dynamism, as customer behaviours, process requirements and sustainability assessment must be considered during the design and the development of the new solutions. In this paper, after the identification of the main PSS dynamic features, the authors argue that business process simulation (BPS) could represent an effective tool to cope with the dynamics and the complexity entailed in a sustainable PSS. This paper analyses and compares existing BPS approaches identifying the hybrid simulation (HS) modelling as a promising approach. In fact, according to the critical PSS features, HS allows grasping PSS features and integrating customer, company and environmental sustainability perspectives into the model, thus, supporting effective PSS design and assessment. These findings have been validated in a test case where a hybrid model (integrating Discrete Event Simulation with Agent-Based Modelling) has been compared against a pure DES model. The results highlight the advantages of the hybrid modelling approach with respect to DES in supporting the engineering of a sustainable, customer-oriented PSS provision process.
(2017). Hybrid simulation modelling as a supporting tool for sustainable product service systems: a critical analysis [journal article - articolo]. In INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH. Retrieved from http://hdl.handle.net/10446/87394
Hybrid simulation modelling as a supporting tool for sustainable product service systems: a critical analysis
RONDINI, Alice;PEZZOTTA, Giuditta;PINTO, Roberto
2017-01-01
Abstract
Manufacturing companies are increasingly shifting their value proposition from a product-centric perspective to Product-Service-System (PSS). This evolution allows companies to improve the customisation of their offer and to contribute to reduce material flows and consumption, thus enhancing sustainability. However, when companies introduce PSS offers, they have to face higher complexity and dynamism, as customer behaviours, process requirements and sustainability assessment must be considered during the design and the development of the new solutions. In this paper, after the identification of the main PSS dynamic features, the authors argue that business process simulation (BPS) could represent an effective tool to cope with the dynamics and the complexity entailed in a sustainable PSS. This paper analyses and compares existing BPS approaches identifying the hybrid simulation (HS) modelling as a promising approach. In fact, according to the critical PSS features, HS allows grasping PSS features and integrating customer, company and environmental sustainability perspectives into the model, thus, supporting effective PSS design and assessment. These findings have been validated in a test case where a hybrid model (integrating Discrete Event Simulation with Agent-Based Modelling) has been compared against a pure DES model. The results highlight the advantages of the hybrid modelling approach with respect to DES in supporting the engineering of a sustainable, customer-oriented PSS provision process.File | Dimensione del file | Formato | |
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Hybrid simulation modelling as a supporting tool for sustainable product service systems a critical analysis.pdf
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Manuscript_rev2_13042017.pdf
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Descrizione: This is an Accepted Manuscript version of the following article, accepted for publication in International Journal of Production Research. Alice Rondini, Fabiana Tornese, Maria Grazia Gnoni, Giuditta Pezzotta & Roberto Pinto (2017) Hybrid simulation modelling as a supporting tool for sustainable product service systems: a critical analysis, International Journal of Production Research, 55:23, 6932-6945, DOI: 10.1080/00207543.2017.1330569. It is deposited under the terms of the Creative Commons Attribution-NonCommercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
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