Benchmarking Simulation Software Capabilities Against Distributed Control Requirements: FlexSim Vs AnyLogic
Autor: | Ali Attajer, Saber Darmoul, Yves Sallez, Sondes Chaabane, Fouad Riane |
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Přispěvatelé: | Ecole Centrale Casablanca, Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Centre National de la Recherche Scientifique (CNRS)-Université Polytechnique Hauts-de-France (UPHF)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France), Laboratoire d'Ingénierie, de Management Industriel et d'Innovation [Settat] (LIMII), Faculté des Sciences et Techniques [Settat] (FSTS), Université Hassan 1er [Settat]-Université Hassan 1er [Settat], Borangiu T., Trentesaux D., Leitão P., Cardin O., Lamouri |
Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
0209 industrial biotechnology
Computer science business.industry Data management 020208 electrical & electronic engineering Control (management) 02 engineering and technology Benchmarking simulation benchmark simulation software computer.software_genre Simulation software Product (business) [SPI]Engineering Sciences [physics] 020901 industrial engineering & automation Software intelligent product distributed control 0202 electrical engineering electronic engineering information engineering Systems engineering business computer Strengths and weaknesses |
Zdroj: | Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the FutureProceedings of SOHOMA 2020 Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2020 Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future: Proceedings of SOHOMA 2020, Oct 2020, Paris, France. ⟨10.1007/978-3-030-69373-2_38⟩ Service Oriented, Holonic and Multi-Agent Manufacturing Systems for Industry of the Future ISBN: 9783030693725 SOHOMA |
DOI: | 10.1007/978-3-030-69373-2_38⟩ |
Popis: | International audience; Industry 4.0 communication and data management technologies enable the development of distributed, product driven control architectures, where intelligent products can play active roles in manufacturing control pro-cesses. Although simulation is a widespread practice to test, evaluate, com-pare and validate different design alternatives, there is still a lack of papers that assess and discuss the capabilities of available simulation software to meet and implement the requirements of such distribution as a design alter-native. This paper provides an analysis of distributed, product driven control requirements and benchmarks them against the capabilities of two commer-cially available simulation software, namely FlexSim and AnyLogic. A com-parison of the strengths and weaknesses of each software is provided through a case study. |
Databáze: | OpenAIRE |
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