Mixed Materials
Multi-method simulation modelling of circular manufacturing systems for enhanced decision-making
| Τίτλος: | Multi-method simulation modelling of circular manufacturing systems for enhanced decision-making |
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| Συγγραφείς: | Roci, Malvina, Salehi, Niloufar, Amir, Saman, Abdullah Asif, Farazee Mohammad, Shoaib-ul-Hasan, Sayyed, Rashid, Amir |
| Στοιχεία εκδότη: | KTH, Tillverkning och mätsystem 2022 |
| Τύπος εγγράφου: | Mixed materials |
| Περίληψη: | Circular manufacturing systems (CMS) constitute complex value networks comprising a large and diverse set of stakeholders that collaborate to close the loop of products through multiple lifecycles. Complex systems modelling and simulation play a crucial role in providing quantitative and qualitative insights into the behaviour of such systems. In particular, multi-method simulation modelling that combines agent-based, discrete-event, and system dynamics simulation methods is considered more suitable to model and simulate CMS as it allows to capture their complex and dynamic nature. This paper provides a step-by-step approach on how to build a CMS multi-method simulation model in order to assess their economic, environmental, and technical performance for enhanced decision-making. To model and simulate CMS three main elements need to be considered: • A multi-method model architecture where the CMS stakeholders with heterogeneous characteristics are modelled individually as autonomous agents using agent-based, discrete-event, and system dynamics. • An agent environment defined by a Geographic Information System (GIS) to establish connections based on agents’ geographic location. • The product journey resulting from the product's interaction with various CMS stakeholders in the circular value network is traced throughout its multiple lifecycles. QC 20220519 |
| Όροι ευρετηρίου: | Circular economy, Circular manufacturing systems, Multi-method simulation, Complex adaptive systems, Agent-based, Discrete-event, System dynamics, Other Engineering and Technologies, Annan teknik, Article in journal, info:eu-repo/semantics/article, text |
| DOI: | 10.1016.j.mex.2022.101709 |
| Σύνδεσμος: | MethodsX, 1258-780X, 2022, 9, s. 101709-101709 |
| Διαθεσιμότητα: | Open access content. Open access content info:eu-repo/semantics/restrictedAccess |
| Σημείωση: | English |
| Other Numbers: | UPE oai:DiVA.org:kth-312507 0000-0002-1965-5571 0000-0002-1365-667x 0000-0002-6590-7514 0000-0002-8745-7905 0000-0002-5960-2159 doi:10.1016/j.mex.2022.101709 ISI:001094795300004 Scopus 2-s2.0-85129479239 1372250040 |
| Πηγή συνεισφοράς: | UPPSALA UNIV LIBR From OAIster®, provided by the OCLC Cooperative. |
| Αριθμός Καταχώρησης: | edsoai.on1372250040 |
| Βάση Δεδομένων: | OAIster |
| DOI: | 10.1016.j.mex.2022.101709 |
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