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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
A Data-Driven approach for process Simulation Optimization: a case study |
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Authors: |
Romeo Bandinelli, Andrea Nunziatini, Virginia Fani, Bianca Bindi |
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Published in:
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(2022). ECMS 2022,
36th Proceedings DOI: http://doi.org/10.7148/2022 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-77-7 Communications of the ECMS , Volume 36, Issue 1, June 2022, Ålesund, Norway May 30th - June 3rd, 2022 |
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Citation
format: |
Romeo Bandinelli, Andrea Nunziatini, Virginia Fani, Bianca Bindi (2022). A Data-Driven approach for process Simulation Optimization: a case study, ECMS 2022 Proceedings Edited By: Ibrahim A. Hameed, Agus Hasan, Saleh Abdel-Afou Alaliyat, European Council for Modeling and Simulation. doi:10.7148/2022-0036 |
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DOI: |
https://doi.org/10.7148/2022-0036 |
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Abstract: |
The paper deals with the development of a data-driven simulation model for the process optimization of an automatic electroplating plant in the fashion industry. Starting from the process mapping of the production process using the Business Process Modelling and Notation (BPMN standard), an object-oriented simulation model has been defined using the commercial software AnyLogic®. Finally, the model has been validated and the plant has been optimized. |
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