[HTML][HTML] A machine learning digital twin approach for critical process parameter prediction in a catalyst manufacturing line
Digital twins (DTs) are rapidly changing how manufacturing companies leverage the large
volumes of data they generate daily to gain a competitive advantage and optimize their …
volumes of data they generate daily to gain a competitive advantage and optimize their …
A hybrid data-driven optimization and decision-making approach for a digital twin environment: Towards customizing production platforms
Abstract In the Industry 4.0 era, advanced technologies are transforming manufacturing
processes and systems. Additionally, the increasing prevalence of big data and AI …
processes and systems. Additionally, the increasing prevalence of big data and AI …
Digital twins for the designs of systems: a perspective
The design and operation of systems are conventionally viewed as a sequential decision-
making process that is informed by data from physical experiments and simulations …
making process that is informed by data from physical experiments and simulations …
Warehouse digital twin: Simulation modeling and analysis techniques
As an integral component of Industry 4.0, digital twin simulations have the potential to
transform the material handling and supply chain industry. In this paper, we provide a digital …
transform the material handling and supply chain industry. In this paper, we provide a digital …
Digital twin-based reinforcement learning framework: application to autonomous mobile robot dispatching
This paper proposes a new framework for embedding an Intelligent Digital Twin (DT) in a
production system with the objective of achieving more efficient real-time production …
production system with the objective of achieving more efficient real-time production …
Bits, Bytes, and Bars: Towards a Digital Twin of the US Criminal Justice System
Digital twins have been successfully used in various sectors to monitor performance,
understand systemic problems, and evaluate solutions. However, their application in social …
understand systemic problems, and evaluate solutions. However, their application in social …
Flexible Symbiosis for Simulation Optimization in Production Scheduling: A Design Strategy for Adaptive Decision Support in Industry 5.0
In the rapidly evolving landscape of Industry 4.0 and the transition towards Industry 5.0,
manufacturing systems face the challenge of adapting to dynamic, hyper-customized …
manufacturing systems face the challenge of adapting to dynamic, hyper-customized …
Knowledge equivalence in Digital Twins of intelligent systems
A digital twin contains up-to-date data-driven models of the physical world being studied and
can use simulation to optimise the physical world. However, the analysis made by the digital …
can use simulation to optimise the physical world. However, the analysis made by the digital …
Digital Twins for the Designs of Systems: a Perspective
The design and operation of systems are conventionally viewed as a sequential decision-
making process that is informed by data from physical experiments and simulations …
making process that is informed by data from physical experiments and simulations …
Application of microscopic discrete event-based simulation in the modelling of the city logistics systems of concentrated sets of delivery locations
DL Sárdi, G Lipovszki, K Bóna - Journal of Simulation, 2024 - Taylor & Francis
Nowadays, city logistics issues are getting more and more attention. Within this, our City
Logistics Research Group is currently focusing on the urban concentrated sets of delivery …
Logistics Research Group is currently focusing on the urban concentrated sets of delivery …