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© 2014 John Wiley & Sons, Ltd. All rights reserved.This chapter delves into the comparison of model building in discrete-event simulation (DES) and system dynamics (SD) modelling. An empirical study is undertaken to compare the model development process followed by experts in DES and SD. Verbal protocol analysis (VPA) is used to study the modelling process followed by 10 expert modellers (five SD and five DES). Participants are asked to build simulation models based on a case study and to think aloud while modelling. The generated verbal protocols are divided into seven modelling topics: problem structuring, conceptual modelling, data inputs, model coding, validation and verification, results and experimentation, and implementation; and are then analysed. The quantitative analysis of the verbal protocols shows that all modellers switch between modelling topics. However, DES modellers follow a more linear progression and focus significantly more on model coding and verification and validation, whereas SD modellers focus on conceptual modelling. Observations are also made revealing some interesting differences in the way the two groups of modellers tackle the case. This chapter contributes to the comparison of DES and SD modelling in management decision making by providing empirical evidence with regard to the model development process. It furthermore identifies topics for further research in this area.
Author(s): Tako A, Robinson S
Editor(s): Brailsford S; Churilov L; Dangerfield B
Publication type: Book Chapter
Publication status: Published
Book Title: Discrete-Event Simulation and System Dynamics for Management Decision Making
Year: 2014
Pages: 140-164
Print publication date: 02/05/2014
Online publication date: 11/04/2014
Acceptance date: 02/04/2014
Series Title: Wiley Series in Operations Research and Management Science
Publisher: Wiley Blackwell
Place Published: Chichester
URL: https://doi.org/10.1002/9781118762745.ch08
DOI: 10.1002/9781118762745.ch08
Notes: 9781118349021 Hardback ISBN
Library holdings: Search Newcastle University Library for this item
ISBN: 9781118762745