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High Speed Simulation Analytics

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Simulation for Industry 4.0

Part of the book series: Springer Series in Advanced Manufacturing ((SSAM))

Abstract

Simulation, especially Discrete-event simulation (DES ) and Agent -based simulation (ABS ), is widely used in industry to support decision making. It is used to create predictive models or Digital Twins of systems used to analyse what-if scenarios, perform sensitivity analytics on data and decisions and even to optimise the impact of decisions. Simulation-based Analytics , or just Simulation Analytics , therefore has a major role to play in Industry 4.0. However, a major issue in Simulation Analytics is speed. Extensive, continuous experimentation demanded by Industry 4.0 can take a significant time, especially if many replications are required. This is compounded by detailed models as these can take a long time to simulate. Distributed Simulation (DS) techniques use multiple computers to either speed up the simulation of a single model by splitting it across the computers and/or to speed up experimentation by running experiments across multiple computers in parallel. This chapter discusses how DS and Simulation Analytics , as well as concepts from contemporary e-Science, can be combined to contribute to the speed problem by creating a new approach called High Speed Simulation Analytics . We present a vision of High Speed Simulation Analytics to show how this might be integrated with the future of Industry 4.0.

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Notes

  1. 1.

    project-cola.eu.

  2. 2.

    www.cloudsme-apps.com.

  3. 3.

    www.cloudbroker.com.

  4. 4.

    http://www.cloudsme-apps.com/practical-examples/.

Abbreviations

ABS :

Agent -based Simulation

APIs:

Application Programming Interfaces

DES :

Discrete-event Simulation

DS:

Distributed Simulation

HLA :

High Level Architecture

HPC:

High Performance Computing

ICT :

Information and Communication Technologies

IaaS:

Infrastructure as a Service

i4MS:

Innovation for Manufacturing SMEs

IEEE:

Institute of Electrical and Electronics Engineers

IoT :

Internet of Things

M&S:

Modelling & Simulation

MSaaS:

Modelling & Simulation as a Service

OR :

Operational Research

OR /MS:

Operational Research /Management Science

PADS :

Parallel and Distributed Simulation

PDES:

Parallel Discrete Event Simulation

PaaS:

Platform as a Service

RTI:

Run Time Infrastructure

SISO:

Simulation Interoperability Standards Organization

SME:

Small-to-Medium Enterprise

SaaS:

Software as a Service

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Author information

Authors and Affiliations

  1. Department of Computer Science, Modelling & Simulation Group, Brunel University London, Uxbridge, Middx, UB10 8JE, UK

    Simon J. E. Taylor & Anastasia Anagnostou

  2. Department of Computer Science, Centre for Parallel Computing, University of Westminster, London, W1W 6XH, UK

    Tamas Kiss

Authors
  1. Simon J. E. Taylor
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  2. Anastasia Anagnostou
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  3. Tamas Kiss
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Corresponding author

Correspondence to Simon J. E. Taylor .

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Editors and Affiliations

  1. Barbaros Naval Science and Engineering Institute, National Defense University Tuzla, Istanbul, Turkey

    Murat M. Gunal

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Taylor, S.J.E., Anagnostou, A., Kiss, T. (2019). High Speed Simulation Analytics. In: Gunal, M. (eds) Simulation for Industry 4.0. Springer Series in Advanced Manufacturing. Springer, Cham. https://doi.org/10.1007/978-3-030-04137-3_11

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  • DOI: https://doi.org/10.1007/978-3-030-04137-3_11

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