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Hybrid simulation modelling in operational research: a state-of-the-art review

Hybrid simulation modelling in operational research: a state-of-the-art review
Hybrid simulation modelling in operational research: a state-of-the-art review
Hybrid simulation (defined as a modelling approach that combines two or more of the following methods: discrete-event simulation, system dynamics, and agent-based simulation) has experienced near-exponential growth in popularity in the past two decades. However, a large proportion of the academic literature on hybrid simulation is found in computer science and engineering journals. Given the importance of this emerging area and its relevance to operational research, this paper provides a review of the topic from an OR perspective. The results of a review of the hybrid simulation literature are presented, using a novel framework based on the simulation lifecycle that will be useful for future modellers and authors alike. Promising areas for future research are identified: these include the development of new methods for conceptual modelling and for model validation. Currently the main application areas are healthcare, supply chain management and manufacturing, and the majority of published models combine discrete-event simulation and system dynamics.
0377-2217
721-737
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Eldabi, Tillal
27474805-8893-4758-a14b-8821936fca16
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Mustafee, Navonil
db5373e8-d34e-4894-9146-3f354c2d5780
Osorio, Andres
15baaa6a-0c26-4fbc-b72d-619756c69c3b
Brailsford, Sally
634585ff-c828-46ca-b33d-7ac017dda04f
Eldabi, Tillal
27474805-8893-4758-a14b-8821936fca16
Kunc, Martin
0b254052-f9f5-49f9-ac0b-148c257ba412
Mustafee, Navonil
db5373e8-d34e-4894-9146-3f354c2d5780
Osorio, Andres
15baaa6a-0c26-4fbc-b72d-619756c69c3b

Brailsford, Sally, Eldabi, Tillal, Kunc, Martin, Mustafee, Navonil and Osorio, Andres (2019) Hybrid simulation modelling in operational research: a state-of-the-art review. European Journal of Operational Research, 278 (3), 721-737. (doi:10.1016/j.ejor.2018.10.025).

Record type: Article

Abstract

Hybrid simulation (defined as a modelling approach that combines two or more of the following methods: discrete-event simulation, system dynamics, and agent-based simulation) has experienced near-exponential growth in popularity in the past two decades. However, a large proportion of the academic literature on hybrid simulation is found in computer science and engineering journals. Given the importance of this emerging area and its relevance to operational research, this paper provides a review of the topic from an OR perspective. The results of a review of the hybrid simulation literature are presented, using a novel framework based on the simulation lifecycle that will be useful for future modellers and authors alike. Promising areas for future research are identified: these include the development of new methods for conceptual modelling and for model validation. Currently the main application areas are healthcare, supply chain management and manufacturing, and the majority of published models combine discrete-event simulation and system dynamics.

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Brailsford, Eldabi, Kunc, Mustafee and Osorio (R2) - Accepted Manuscript
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1-s2.0-S0377221718308786-main - Proof
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More information

Accepted/In Press date: 12 October 2018
e-pub ahead of print date: 19 October 2018
Published date: 1 November 2019

Identifiers

Local EPrints ID: 425363
URI: http://eprints.soton.ac.uk/id/eprint/425363
ISSN: 0377-2217
PURE UUID: b5734c4a-d34b-4c27-a4f7-5aac37c03294
ORCID for Sally Brailsford: ORCID iD orcid.org/0000-0002-6665-8230
ORCID for Martin Kunc: ORCID iD orcid.org/0000-0002-3411-4052

Catalogue record

Date deposited: 16 Oct 2018 16:30
Last modified: 30 Jan 2020 01:50

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