Coates, G, Alharbi, M, Li, C, Ahilan, S and Wright, N ORCID: https://orcid.org/0000-0002-1289-2830, 2020. Evaluating the operational resilience of small and medium-sized enterprises to flooding using a computational modelling and simulation approach: a case study of the 2007 flood in Tewkesbury. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 378 (2168): 20190210. ISSN 1364-503X
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Abstract
The resilience of small and medium-sized enterprises (SMEs) to disruptive events is significant as this highly prevalent category of business forms the economic backbone in developed countries. This article provides an overview of the application of a computational modelling and simulation approach to evaluate SMEs' operational resilience to flooding based on combinations of structural and procedural mitigation measures that may be implemented to improve their premises' resistance to flooding and safeguard their business continuity. The approach integrates flood modelling and simulation with agent-based modelling and simulation (ABMS) within a modelled geographical environment. SMEs are modelled as agents based on findings of semi-structured interviews with SMEs that have experienced flooding or are at risk of flooding. In this paper, the ABMS has been applied to a new case study of the major flood event of 2007 in Tewkesbury. Furthermore, to enable an evaluation of the operational resilience of manufacturing SMEs in terms of the relative effectiveness of flood mitigation measures, a new coefficient based on production loss is introduced. Results indicate structural mitigation measures are more effective than procedural measures. While this result is intuitive, the approach provides a means of evaluating the relative effectiveness of combinations of mitigation measures that SMEs may implement to enhance their operational resilience to flooding.
Item Type: | Journal article |
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Publication Title: | Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences |
Creators: | Coates, G., Alharbi, M., Li, C., Ahilan, S. and Wright, N. |
Publisher: | Royal Society Publishing |
Date: | 3 April 2020 |
Volume: | 378 |
Number: | 2168 |
ISSN: | 1364-503X |
Identifiers: | Number Type 10.1098/rsta.2019.0210 DOI |
Rights: | © 2020 the authors. Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/ by/4.0/, which permits unrestricted use, provided the original author and source are credited. |
Divisions: | Professional Services > The Directorate |
Record created by: | Jonathan Gallacher |
Date Added: | 22 Jun 2020 10:39 |
Last Modified: | 22 Jun 2020 10:43 |
URI: | https://irep.ntu.ac.uk/id/eprint/40075 |
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