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A preliminary study on the role of simulation models in generating insights

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conference contribution
posted on 2015-02-12, 14:28 authored by Anastasia Gogi, Antuela Tako, Stewart Robinson
The generation of insight from simulation models has received little attention in the discrete-event simulation (DES) literature. Often DES studies claim to have supported problem understanding and problem solving by creating new and effective ideas, however little empirical evidence exists to support these statements. This paper presents the design of an experimental study which aims to understand the role of simulation models in generating insights. Study participants are asked to solve a task based on a problem of a telephone service for non-emergency health care. One independent variable is manipulated: the features of the simulation model, forming three conditions. Participants either use the animation or only the statistical results of the model or no model at all to solve the task. The paper provides a preliminary analysis of the pilot tests, which indicates that simulation models may assist users in gaining better understanding and in achieving divergent thinking.

Funding

SIMUL8 Corporation

History

School

  • Business and Economics

Department

  • Business

Published in

2014 Winter Simulation Conference

Pages

3618 - 3629 (12)

Citation

GOGI, A., TAKO, A.A. and ROBINSON, S., 2014. A preliminary study on the role of simulation models in generating insights. IN: Tolk, A. et al. (eds.) Proceedings of the 2014 Winter Simulation Conference, Savannah, Georgia, IEEE, pp. 3618 - 3629.

Publisher

© IEEE

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2014

Notes

This paper was presented at the Winter Simulation Conference (WSC), 7-10 December 2014. © 2014 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

ISBN

978-1-4799-7486-3

Language

  • en

Location

Savannah, Georgia

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