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Supporting a modeling continuum in scalation: from predictive analytics to simulation modeling

Authors:

John A. Miller,

Michael E. Cotterell,

Stephen J. BuckleyAuthors Info & Claims

WSC '13: Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World

Pages 1191 - 1202

Published: 08 December 2013 Publication History

Abstract

Predictive analytics and simulation modeling are two complementary disciplines that will increasingly be used together in the future. They share in common a focus on predicting how systems, existing or proposed, will function. The predictions may be values of quantifiable metrics or classification of outcomes. Both require collection of data to increase their validity and accuracy. The coming era of big data will be a boon to both and will accelerate the need to use them in conjunction. This paper discusses ways in which the two disciplines have been used together as well as how they can be viewed as belonging to the same modeling continuum. Various modeling techniques from both disciplines are reviewed using a common notation. Finally, examples are given to illustrate these notions.

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Cited By

Leathrum JCollins ACotter TLynch CGore R(2020)Education in analytics needed for the modeling & simulation processProceedings of the Winter Simulation Conference10.5555/3466184.3466555(3236-3247)Online publication date: 14-Dec-2020
https://dl.acm.org/doi/10.5555/3466184.3466555
Zhu ZLei Y(2020)Model & data hybrid driven smart modeling for combat systemsProceedings of the 2020 Summer Simulation Conference10.5555/3427510.3427512(1-12)Online publication date: 20-Jul-2020
https://dl.acm.org/doi/10.5555/3427510.3427512
Greasley A(2018)Using analytics with discrete-event simulationProceedings of the 50th Computer Simulation Conference10.5555/3275382.3275395(1-12)Online publication date: 9-Jul-2018
https://dl.acm.org/doi/10.5555/3275382.3275395

Supporting a modeling continuum in scalation: from predictive analytics to simulation modeling
1. Applied computing

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Information & Contributors

Information

Published In

cover image ACM Conferences

WSC '13: Proceedings of the 2013 Winter Simulation Conference: Simulation: Making Decisions in a Complex World

December 2013

4386 pages

ISBN:9781479920778

General Chair:
Raymond R. Hill
Air Force Institute of Technology
,
Program Chair:
Michael E. Kuhl
Rochester Institute of Technology

Sponsors

IIE: Institute of Industrial Engineers
INFORMS-SIM: Institute for Operations Research and the Management Sciences: Simulation Society
ASA: American Statistical Association
SIGSIM: ACM Special Interest Group on Simulation and Modeling
SCS: Society for Modeling and Simulation International
ASIM: Arbeitsgemeinschaft Simulation
IEEE/SMCS: Institute of Electrical and Electronics Engineers/Systems, Man, and Cybernetics Society
NIST: National Institute of Standards & Technology

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IEEE Press

Publication History

Published: 08 December 2013

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Research-article

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WSC '13

Sponsor:

IIE
INFORMS-SIM
ASA
SIGSIM
SCS
ASIM
IEEE/SMCS
NIST

WSC '13: Winter Simulation Conference

December 8 - 11, 2013

D.C., Washington

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Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Leathrum JCollins ACotter TLynch CGore R(2020)Education in analytics needed for the modeling & simulation processProceedings of the Winter Simulation Conference10.5555/3466184.3466555(3236-3247)Online publication date: 14-Dec-2020
https://dl.acm.org/doi/10.5555/3466184.3466555
Zhu ZLei Y(2020)Model & data hybrid driven smart modeling for combat systemsProceedings of the 2020 Summer Simulation Conference10.5555/3427510.3427512(1-12)Online publication date: 20-Jul-2020
https://dl.acm.org/doi/10.5555/3427510.3427512
Greasley A(2018)Using analytics with discrete-event simulationProceedings of the 50th Computer Simulation Conference10.5555/3275382.3275395(1-12)Online publication date: 9-Jul-2018
https://dl.acm.org/doi/10.5555/3275382.3275395

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