Abstract Throughout its history, Operational Research has evolved to include methods,
models and algorithms that have been applied to a wide range of contexts. This …

Mathematical modelling and simulation represent a significant portion of quantitative
modelling efforts in the field of construction supply chain management. A gap exists in …

Mobility patterns of pedestrians at a very high spatial and temporal resolution support urban
planning strategies and facilitate a better understanding of the transport system. In this study …

Digital twins are virtual representations of physical entities and processes. They aid in
deriving insights to control entities and processes in the digital world and use those insights …

Stochastic simulation requires input probability distributions to model systems with random
dynamic behavior. Given the input distributions, random behavior is simulated using Monte …

When a simulation model contains input distributions that need to be calibrated from
external data, proper simulation output analysis needs to account for not only the noises …

The impact of policy intervention on international wine demand | Emerald Insight Books and
journals Case studies Expert Briefings Open Access Publish with us Advanced search The …

Bayesian Optimization is a popular approach for optimizing expensive black-box functions.
Its key idea is to use a surrogate model to approximate the objective and, importantly …

This tutorial describes industrial digital twin development including advanced analytics.
Using factory and supply chain digital twins as example applications, we present two …

This work studies the potentials of Digital Twin solutions for the design of competitive and
reliable green hydrogen facilities. A digital twin based on stochastic simulations is proposed …