Approaches for Simulation Model Simplification

van der Zee, D. J., 2017, Proceedings of the 2017 Winter Simulation Conference. Chan, W. K. V., D'Ambrogio, A., Zacharewicz, G., Mustafee, N., Wainer, G. & Page, E. (eds.). Piscateway, NJ: IEEE (The Institute of Electrical and Electronics Engineers), p. 4197-4208 12 p.

Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

Simplification is considered a fundamental part of modelling and simulation. Model simplification is instrumental in creating models that are useful – by focusing on system elements that matter, and feasible – by reducing study efforts. Despite its widely acknowledged relevance simulation model simplification may still be considered an underdeveloped field. This is mirrored in existing literature, and course books. While the former shows a fragmented landscape in addressing the issue, the latter often offer little guidance for the (future) analyst. To foster further development of the field we assess current progress by providing a literature review. Issues addressed by the review concern: (i) definition and scope of model simplification, (ii) reasons for model simplification, (iii) drivers of inappropriate model complexity, and (iv) approaches for model simplification. The review is meant to provide a useful overview of the work undertaken in this field, aiming to benefit educators, practitioners and researchers.
Original languageEnglish
Title of host publicationProceedings of the 2017 Winter Simulation Conference
EditorsW.K.V. Chan, A. D'Ambrogio, G. Zacharewicz, N. Mustafee, G. Wainer, E. Page
Place of PublicationPiscateway, NJ
PublisherIEEE (The Institute of Electrical and Electronics Engineers)
Number of pages12
Publication statusPublished - 2017
EventWinter Simulation Conference 2017 - Las Vegas, United States
Duration: 4-Dec-20177-Dec-2017


ConferenceWinter Simulation Conference 2017
CountryUnited States
CityLas Vegas


Winter Simulation Conference 2017


Las Vegas, United States

Event: Conference

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  1. Approaches for Simulation Model Simplification

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