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Highlighting the benefits of industry 4.0 for production: an agent-based simulation approach

Cavata, Julio Takashi, Massote, Alexandre Augusto, Filev Maia, Rodrigo and Lima, Fábio 2020, Highlighting the benefits of industry 4.0 for production: an agent-based simulation approach, Gestão & Produção, vol. 27, no. 3, pp. 1-35, doi: 10.1590/0104-530x5619-20.

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Title Highlighting the benefits of industry 4.0 for production: an agent-based simulation approach
Author(s) Cavata, Julio Takashi
Massote, Alexandre Augusto
Filev Maia, RodrigoORCID iD for Filev Maia, Rodrigo orcid.org/0000-0003-4870-3429
Lima, Fábio
Journal name Gestão & Produção
Volume number 27
Issue number 3
Article ID e5619
Start page 1
End page 35
Total pages 35
Publisher Departamento de Engenharia de Produção
Place of publication São Carlos, Brazil
Publication date 2020
ISSN 0104-530X
1806-9649
Keyword(s) Smart manufacturing
Industry 4.0
Cyber Physical Systems
Multi-Agent Systems
Simulation
Summary Abstract: Advanced Manufacturing or Industry 4.0 concepts bring new advances and challenges to current industrial processes. Such concepts are not always well understood and their results in terms of production performance may not be clear. This work proposes a comparison between a traditional manufacturing process and an advanced manufacturing process, both modelled by a multiagent society. In the traditional manufacturing simulation, the agents follow the defined times of each process, including the maintenance times. In the advanced manufacturing simulation, the decision about when to stop a piece of equipment for maintenance is defined by the agent according to data received from sensors and the definitions of the process. The results indicate a significant improvement in equipment usage and consequently higher production in the same time interval. The process simulation clearly indicates that the application of advanced manufacturing concepts in industry is relevant in order to increase the efficiency of production processes. Among the main concepts introduced in advanced manufacturing models are the Internet of Things (IoT), Cyber-Physical Systems (CPSs), and Artificial Intelligence (AI). The models generated are computationally simulated using an agent-based simulation method from the software AnyLogic. The results obtained should contribute to encouraging small and medium sized enterprises to adopt the concepts of Industry 4.0 in their businesses.
Language eng
DOI 10.1590/0104-530x5619-20
Indigenous content off
HERDC Research category C1.1 Refereed article in a scholarly journal
Free to Read? Yes
Persistent URL http://hdl.handle.net/10536/DRO/DU:30143530

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Every reasonable effort has been made to ensure that permission has been obtained for items included in DRO. If you believe that your rights have been infringed by this repository, please contact drosupport@deakin.edu.au.