Conceptual modelling for simulation: Progress and grand challenges

S Robinson - Journal of Simulation, 2020 - Taylor & Francis
ABSTRACT In 2007, the Journal of Simulation ran the first ever journal issue dedicated to
conceptual modelling for discrete-event simulation. The editorial for that issue reported on a …

Automation of input data to discrete event simulation for manufacturing: A review

P Barlas, C Heavey - … Journal of Modeling, Simulation, and Scientific …, 2016 - World Scientific
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 …

Data analytics using simulation for smart manufacturing

G Shao, SJ Shin, S Jain - Proceedings of the winter simulation …, 2014 - ieeexplore.ieee.org
Manufacturing organizations are able to accumulate large amounts of plant floor production
and environmental data due to advances in data collection, communications technology …

Manufacturing data analytics using a virtual factory representation

S Jain, G Shao, SJ Shin - International Journal of Production …, 2017 - Taylor & Francis
Large manufacturers have been using simulation to support decision-making for design and
production. However, with the advancement of technologies and the emergence of big data …

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 …

Achieving manufacturing excellence through the integration of enterprise systems and simulation

A Rashid, B Tjahjono - Production Planning & Control, 2016 - Taylor & Francis
This paper discusses the significance of the enterprise systems and simulation integration in
improving shop floor's short-term production planning capability. The ultimate objectives are …

A survey of open source data science tools

P Barlas, I Lanning, C Heavey - International Journal of Intelligent …, 2015 - emerald.com
Purpose–Data science is the study of the generalizable extraction of knowledge from data. It
includes a variety of components and develops on methods and concepts from many …

Automated input data management: evaluation of a concept for reduced time consumption in discrete event simulation

A Skoogh, B Johansson, J Stahre - Simulation, 2012 - journals.sagepub.com
Input data management is a crucial and time-consuming part of a simulation project.
Consequently, improvement of this process has substantial potential to increase the rapidity …

Discrete event simulation output data-handling system in an automotive manufacturing plant

CA Barrera-Diaz, J Oscarsson, S Lidberg… - Procedia …, 2018 - Elsevier
Abstract Discrete Event Simulation is a comprehensive tool for the analysis and design of
manufacturing systems. Over the years, considerable efforts to improve simulation …

Interoperability of manufacturing applications using the Core Manufacturing Simulation Data (CMSD) standard information model

R Bloomfield, E Mazhari, J Hawkins, YJ Son - Computers & Industrial …, 2012 - Elsevier
The goal of this paper is to propose an approach to enhance interoperability between
manufacturing applications using the Core Manufacturing Simulation Data Information …