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System dynamics: a soft and hard approach to modelling

System dynamics: a soft and hard approach to modelling
System dynamics: a soft and hard approach to modelling
System Dynamics (SD) can be employed for qualitative and quantitative modelling. There are important tools and methods within SD that can be easily accommodated within qualitative modelling, also known as Soft Operational Research or problem structuring method. While traditional stocks and flows are the basic components of quantitative SD modelling, quantitative SD modelling shares many commonalities, e.g. empirically driven, through testing, and critical focused to outputs, with traditional simulation methods and quantitative Operational Research tools. This tutorial informs novice modelers on the aspects to consider when they want to use SD as a qualitative and quantitative modeling method. In any approach employed, the use of SD modelling needs to be grounded in relevant literature from the perspective employed, qualitative or quantitative.
1558-4305
597-606
IEEE
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412

Kunc, Martin (2018) System dynamics: a soft and hard approach to modelling. In 2017 Winter Simulation Conference (WSC). IEEE. pp. 597-606 . (doi:10.1109/WSC.2017.8247818).

Record type: Conference or Workshop Item (Paper)

Abstract

System Dynamics (SD) can be employed for qualitative and quantitative modelling. There are important tools and methods within SD that can be easily accommodated within qualitative modelling, also known as Soft Operational Research or problem structuring method. While traditional stocks and flows are the basic components of quantitative SD modelling, quantitative SD modelling shares many commonalities, e.g. empirically driven, through testing, and critical focused to outputs, with traditional simulation methods and quantitative Operational Research tools. This tutorial informs novice modelers on the aspects to consider when they want to use SD as a qualitative and quantitative modeling method. In any approach employed, the use of SD modelling needs to be grounded in relevant literature from the perspective employed, qualitative or quantitative.

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More information

Accepted/In Press date: 3 December 2017
e-pub ahead of print date: December 2017
Published date: 8 January 2018
Venue - Dates: 2017 Winter Simulation Conference, Red Rock Resorts, Las Vegas, United States, 2017-12-03 - 2017-12-06

Identifiers

Local EPrints ID: 427574
URI: http://eprints.soton.ac.uk/id/eprint/427574
ISSN: 1558-4305
PURE UUID: d8c2e271-74f4-4c42-8b18-bc6c5770a74a
ORCID for Martin Kunc: ORCID iD orcid.org/0000-0002-3411-4052

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Date deposited: 23 Jan 2019 17:30
Last modified: 27 Apr 2022 02:14

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