Use of simulation in the industry 4.0 context: Creation of a Digital Twin to optimise decision making on non-automated process

Santos, Carlos; Queiroz, José Antônio de; Leal, Fabiano; Montevechi, José Arnaldo Barra

doi:10.1080/17477778.2020.1811172

Cited by 41 publications

(18 citation statements)

References 34 publications

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“…In this account, a commonly used approach is discrete event simulation (DES) model. The DT-based DES approach is used to simulate the non-automated manufacturing process (Santos et al, 2020), evaluate the configuration design of the DT-based complex manufacturing system (Ait-Alla et al, 2021;Jiang et al, 2021;Murphy et al, 2020), detect production bottlenecks and faulty (Jung et al, 2021), as well as in service scheduling and failure probability prediction (Negri et al, 2021).…”

Section: Cluster 8: Pi/dt-based Simulation and Optimisationmentioning

confidence: 99%

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Nguyen

Duong

Nguyen

et al. 2022

International Journal of Production Economics

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Section: Cluster 8: Pi/dt-based Simulation and Optimisationmentioning

confidence: 99%

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Nguyen

Duong

Nguyen

et al. 2022

International Journal of Production Economics

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“…Despite being widely spread by researchers and practitioners, it is noted that simulation still represents a fertile field of research (Mourtzis, 2020). Moreover, a new era of decision-making is observed, marked by increasingly efficient processes and decisions based on emerging technologies, allowing the development of increasingly agile and flexible simulation models (Rodič, 2017;Santos et al, 2022). However, we noted that many companies and managers still fail to take advantage of the benefits of the simulation (Skoogh et al, 2012;Teerasoponpong & Sopadang, 2021;Oliveira et al, 2022).…”

Section: Introductionmentioning

confidence: 98%

“…In this case, we highlight applications in several areas, such as hospital decisions, military operations, logistics, and mainly manufacturing processes (Gabriel et al, 2022). Moreover, considering the context of modern industry, simulation plays an essential role since it allows for more efficient decisions and combines low investments and high flexibility (Santos et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

“…However, although the approaches mentioned above are promising, especially considering the context of Industry 4.0, there are still challenges to be overcome. These challenges are found mainly in industrial environments with low/medium degree of development, where significant investments and process structure changes are impossible (Moeuf et al, 2018;Santos et al, 2022;Choi & Kang, 2018;Goodall et al, 2019).…”

Section: Introductionmentioning

confidence: 99%

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FaMoSim: a facilitated discrete event simulation framework to support online studies

Oliveira

Santos

Gabriel

et al. 2023

Prod.

Self Cite

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Paper aims:To propose a framework to support online simulation studies considering facilitated modeling and concepts of modern industry context, such as agility and flexibility.Originality: Since the frameworks in the literature deal with simulation projects focused on healthcare and face-to-face meetings, the present work innovates by offering an agile and flexible guide for simulation projects in production systems, which also supports online interventions.Research method: Action Research method was used to develop the framework. After its development, the FaMoSim (Facilitated Modeling Simulation) framework was applied in a real case to evaluate its applicability. Main findings:In the application of FaMoSim, we achieved the framework's objectives: carrying out a faster (up to 3 months) and more flexible online modeling process; creating a simple computer model that does not require a complex data collection structure nor a specialist team; generating a better understanding of the process and assisting the stakeholders in identifying improvements.Implications for theory and practice: Considering some challenges that prevent the expansion of DES studies, the framework assists in expanding DES studies in environments where it is not widely used. The framework supports online interventions, making it an interesting tool that can be used mainly in times of social distancing.

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“…The previous approaches considered either only optimization using a digital twin or the possibility of deploying CPS systems into production. The cooperation of a CPS and a digital twin in verifying the functionality of the optimization from the digital twin as described in this paper has not yet been presented [ 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 ].…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of Universal Cyber-Physical Model for Testing Logistic Control Algorithms of Production Line’s Digital Twin by Using Color Sensor

Vachálek

Šišmišová

Vašek

et al. 2021

Sensors

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This paper deals with the design and implementation of a universal cyber-physical model capable of simulating any production process in order to optimize its logistics systems. The basic idea is the direct possibility of testing and debugging advanced logistics algorithms using a digital twin outside the production line. Since the digital twin requires a physical connection to a real line for its operation, this connection is substituted by a modular cyber-physical system (CPS), which replicates the same physical inputs and outputs as a real production line. Especially in fully functional production facilities, there is a trend towards optimizing logistics systems in order to increase efficiency and reduce idle time. Virtualization techniques in the form of a digital twin are standardly used for this purpose. The possibility of an initial test of the physical implementation of proposed optimization changes before they are fully implemented into operation is a pragmatic question that still resonates on the production side. Such concerns are justified because the proposed changes in the optimization of production logistics based on simulations from a digital twin tend to be initially costly and affect the existing functional production infrastructure. Therefore, we created a universal CPS based on requirements from our cooperating manufacturing companies. The model fully physically reproduces the real conditions of simulated production and verifies in advance the quality of proposed optimization changes virtually by the digital twin. Optimization costs are also significantly reduced, as it is not necessary to verify the optimization impact directly in production, but only in the physical model. To demonstrate the versatility of deployment, we chose a configuration simulating a robotic assembly workplace and its logistics.

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Use of simulation in the industry 4.0 context: Creation of a Digital Twin to optimise decision making on non-automated process

Cited by 41 publications

References 34 publications

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

Knowledge mapping of digital twin and physical internet in Supply Chain Management: A systematic literature review

FaMoSim: a facilitated discrete event simulation framework to support online studies

Design and Implementation of Universal Cyber-Physical Model for Testing Logistic Control Algorithms of Production Line’s Digital Twin by Using Color Sensor

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