Research challenges in parallel and distributed simulation
RM Fujimoto - ACM Transactions on Modeling and Computer …, 2016 - dl.acm.org
The parallel and distributed simulation field has evolved and grown from its origins in the
1970s and 1980s and remains an active field of research to this day. A brief overview of …
1970s and 1980s and remains an active field of research to this day. A brief overview of …
Symbiotic simulation system: Hybrid systems model meets big data analytics
BS Onggo, N Mustafee, A Smart… - 2018 Winter …, 2018 - ieeexplore.ieee.org
Symbiotic simulation is one of Industry 4.0 technologies that enables interaction between a
physical system and the simulation model that represents it as its digital twin. Symbiotic …
physical system and the simulation model that represents it as its digital twin. Symbiotic …
Distributed simulation: state-of-the-art and potential for operational research
SJE Taylor - European Journal of Operational Research, 2019 - Elsevier
Abstract In Operational Research conventional simulation practices typically focus on the
conceptualization, development and use of a single model simulated on a single computer …
conceptualization, development and use of a single model simulated on a single computer …
Real-time data-driven discrete-event simulation for garment production lines
WK Jung, H Kim, YC Park, JW Lee… - Production Planning & …, 2022 - Taylor & Francis
The garment industry, which is traditionally labour-intensive, is facing significant challenges
to reduce production costs in the face of material, labour, and infrastructure maintenance …
to reduce production costs in the face of material, labour, and infrastructure maintenance …
Potential of data-driven simulation-based optimization for adaptive scheduling and control of dynamic manufacturing systems
The increasing customization of products, which leads to greater variances and smaller lot
sizes, requires highly flexible manufacturing systems. These systems are subject to dynamic …
sizes, requires highly flexible manufacturing systems. These systems are subject to dynamic …
Dynamic data-driven microscopic traffic simulation using jointly trained physics-guided long short-term memory
Symbiotic simulation systems that incorporate data-driven methods (such as machine/deep
learning) are effective and efficient tools for just-in-time (JIT) operational decision making …
learning) are effective and efficient tools for just-in-time (JIT) operational decision making …
Data-driven microscopic traffic modelling and simulation using dynamic lstm
With the increasing popularity of Digital Twin, there is an opportunity to employ deep
learning models in symbiotic simulation system. Symbiotic simulation can replicate multiple …
learning models in symbiotic simulation system. Symbiotic simulation can replicate multiple …
A data assimilation framework for discrete event simulations
X Hu, P Wu - ACM Transactions on Modeling and Computer …, 2019 - dl.acm.org
Discrete event simulation (DES) is traditionally used as an offline tool to help users to carry
out analysis for complex systems. As real-time sensor data become more and more …
out analysis for complex systems. As real-time sensor data become more and more …
A survey on self-adaptive security for large-scale open environments
Contemporary software systems operate in heterogeneous, dynamic, and distributed
environments, where security needs change at runtime. The security solutions for such …
environments, where security needs change at runtime. The security solutions for such …
Panel on grand challenges for modeling and simulation
It has been a decade since the Workshop on Grand Challenge for Modeling & Simulation
(M&S) was held at Dagstuhl in Germany (www. dagstuhl. de/02351). Grand challenges …
(M&S) was held at Dagstuhl in Germany (www. dagstuhl. de/02351). Grand challenges …