| Title |
Hybrid simulation modelling as a supporting tool for sustainable product service systems: a critical analysis |
| ID_Doc |
65949 |
| Authors |
Rondini, A; Tornese, F; Gnoni, MG; Pezzotta, G; Pinto, R |
| Title |
Hybrid simulation modelling as a supporting tool for sustainable product service systems: a critical analysis |
| Year |
2017 |
| Published |
International Journal Of Production Research, 55.0, 23 |
| DOI |
10.1080/00207543.2017.1330569 |
| 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. |
| Author Keywords |
PSS design; PSS assessment; sustainability; simulation; hybrid modelling |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000423134100003 |
| WoS Category |
Engineering, Industrial; Engineering, Manufacturing; Operations Research & Management Science |
| Research Area |
Engineering; Operations Research & Management Science |
| PDF |
https://aisberg.unibg.it/bitstream/10446/87394/4/Manuscript_rev2_13042017.pdf
|