Decision support in productive processes through DES and ABS in the Digital Twin era: a systematic literature review
CH dos Santos, JAB Montevechi… - … Journal of Production …, 2022 - Taylor & Francis
The use of simulation to support decision-making in productive processes (goods and
services) is already an established research field. However, with the availability of solutions …
services) is already an established research field. However, with the availability of solutions …
[HTML][HTML] Considerations, challenges and opportunities when developing data-driven models for process manufacturing systems
The increasing availability of data, due to the adoption of low-cost industrial internet of things
technologies, coupled with increasing processing power from cloud computing, is fuelling …
technologies, coupled with increasing processing power from cloud computing, is fuelling …
Automated manufacturing system discovery and digital twin generation
G Lugaresi, A Matta - Journal of Manufacturing Systems, 2021 - Elsevier
The latest developments in industry involved the deployment of digital twins for both long
and short term decision making, such as supply chain management, production planning …
and short term decision making, such as supply chain management, production planning …
Setting an industry 4.0 research and development agenda for simulation-a literature review
The fourth industrial revolution, or Industry 4.0 (14.0), originated in German, englobes many
innovative features, in order to bring the concept of" smart factories". Moreover, discrete …
innovative features, in order to bring the concept of" smart factories". Moreover, discrete …
Use of simulation in the industry 4.0 context: Creation of a Digital Twin to optimise decision making on non-automated process
The advent of new technologies brings a significant impact on systems management. The
Industry 4.0 looks for increasingly automated, integrated, and digitised processes. We …
Industry 4.0 looks for increasingly automated, integrated, and digitised processes. We …
A simulation-based decision support system to prevent and predict strain situations in emergency department systems
F Kadri, S Chaabane, C Tahon - Simulation modelling practice and theory, 2014 - Elsevier
The management of patient flow, especially the flow resulting from health crises in
emergency departments (ED), is one of the most important problems managed by ED …
emergency departments (ED), is one of the most important problems managed by ED …
A survey on automatic model generation for material flow simulation in discrete manufacturing
H Reinhardt, M Weber, M Putz - Procedia CIRP, 2019 - Elsevier
Adaptivity of production systems is acknowledged as a key competition factor in the
manufacturing industry. In order to decrease reaction time and increase cost efficiency …
manufacturing industry. In order to decrease reaction time and increase cost efficiency …
Automation of input data to discrete event simulation for manufacturing: A review
Discrete event simulation (DES) is a well-established decision support tool in modeling work
flows in manufacturing industry. But, there are an amount of practical and financial obstacles …
flows in manufacturing industry. But, there are an amount of practical and financial obstacles …
Data quality problems in discrete event simulation of manufacturing operations
High-quality input data are a necessity for successful discrete event simulation (DES)
applications, and there are available methodologies for data collection in DES projects …
applications, and there are available methodologies for data collection in DES projects …
Quality of input data in emergency department simulations: Framework and assessment techniques
L Vanbrabant, N Martin, K Ramaekers… - … Modelling Practice and …, 2019 - Elsevier
Operations research techniques are widely used to analyse and optimise emergency
department operations. The complex and stochastic nature of an emergency department …
department operations. The complex and stochastic nature of an emergency department …