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[HTML][HTML] The development of modelling tools to improve energy efficiency in manufacturing processes and systems
With increasing governmental pressures to reduce energy consumption, manufacturing
companies are faced with the challenge of reducing energy consumption whilst maintaining …
companies are faced with the challenge of reducing energy consumption whilst maintaining …
Modelling for digital twins—potential role of surrogate models
The application of white box models in digital twins is often hindered by missing knowledge,
uncertain information and computational difficulties. Our aim was to overview the difficulties …
uncertain information and computational difficulties. Our aim was to overview the difficulties …
[PDF][PDF] Industry 4.0 and the new simulation modelling paradigm
Background and Purpose: The aim of this paper is to present the influence of Industry 4.0 on
the development of the new simulation modelling paradigm, embodied by the Digital Twin …
the development of the new simulation modelling paradigm, embodied by the Digital Twin …
[HTML][HTML] A new concept of digital twin supporting optimization and resilience of factories of the future
Featured Application This work was elaborated in the frame of a collaborative innovation
project named CyberFactory# 1 which aims at enhancing optimization and resilience of …
project named CyberFactory# 1 which aims at enhancing optimization and resilience of …
Digital twins: A brief overview of applications, challenges and enabling technologies in the last decade
The concept of Digitals Twins (DTs) is an evolving idea, which is becoming the center of
attention for the industry and the scientific community. It can be described as the pairing of …
attention for the industry and the scientific community. It can be described as the pairing of …
A survey on automatic model generation for material flow simulation in discrete manufacturing
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 …
[PDF][PDF] Formation of management and technological maturity levels of enterprises for their dynamic development
N Shpak, O Vytvytska, O Martynyuk, M Kylaec, W Sroka - 2022 - sciendo.com
Currently, the market environment contains many factors influencing the enterprise's
competitiveness. Instability, the unpredictability of events, and insufficiently effective …
competitiveness. Instability, the unpredictability of events, and insufficiently effective …
Automatic component-based synthesis of user-configured manufacturing simulation models
Using simulation models for manufacturing facilities is a common approach for planning,
optimizing, and testing different machine configurations and positioning before the actual …
optimizing, and testing different machine configurations and positioning before the actual …
Issues in synthetic data generation for advanced manufacturing
To have any chance of application in real world, advanced manufacturing research in data
analytics needs to explore and prove itself with real-world manufacturing data. Limited …
analytics needs to explore and prove itself with real-world manufacturing data. Limited …
[HTML][HTML] Factory Simulation of Optimization Techniques Based on Deep Reinforcement Learning for Storage Devices
In this study, reinforcement learning (RL) was used in factory simulation to optimize storage
devices for use in Industry 4.0 and digital twins. Industry 4.0 is increasing productivity and …
devices for use in Industry 4.0 and digital twins. Industry 4.0 is increasing productivity and …