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Data identification and collection methodology in a simulation project: an action research

Data identification and collection methodology in a simulation project: an action research
Data identification and collection methodology in a simulation project: an action research

There seems to be a paucity in the research into the collection of data for use in simulation. This is rather unfortunate since data quality and availability are two of the most challenging issues in many simulation projects. In this paper, we are interested to know how practitioners identify and collect data for simulation projects. An action research was conducted at the ORH Ltd, a management consultancy company to evaluate their data collection guidelines using a real project conducted for a UK Ambulance Service to recommend new staffing levels to deal with increasing calls and to incorporate the installation of a new operating system. We discuss the issues surrounding the identification and collection of data which can be divided into data-related and process-related issues. We propose an improvement to the data identification and collection methodology to reduce the number of cycles in the data collection process.

Ambulance service, Call centre, Data collection, Data identification, Simulation
211-220
Operational Research Society
Hill, James
061b7c5e-5bdc-496a-b783-fa4e7f831921
Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Heavey, Cathal
van der Zee, Durk-Jouke
Tjahjono, Benny
Onggo, Stephan
Hill, James
061b7c5e-5bdc-496a-b783-fa4e7f831921
Onggo, Stephan
8e9a2ea5-140a-44c0-9c17-e9cf93662f80
Heavey, Cathal
van der Zee, Durk-Jouke
Tjahjono, Benny
Onggo, Stephan

Hill, James and Onggo, Stephan (2012) Data identification and collection methodology in a simulation project: an action research. Heavey, Cathal, van der Zee, Durk-Jouke, Tjahjono, Benny and Onggo, Stephan (eds.) In 2012 Operational Research Society Simulation Workshop, SW 2012. Operational Research Society. pp. 211-220 .

Record type: Conference or Workshop Item (Paper)

Abstract

There seems to be a paucity in the research into the collection of data for use in simulation. This is rather unfortunate since data quality and availability are two of the most challenging issues in many simulation projects. In this paper, we are interested to know how practitioners identify and collect data for simulation projects. An action research was conducted at the ORH Ltd, a management consultancy company to evaluate their data collection guidelines using a real project conducted for a UK Ambulance Service to recommend new staffing levels to deal with increasing calls and to incorporate the installation of a new operating system. We discuss the issues surrounding the identification and collection of data which can be divided into data-related and process-related issues. We propose an improvement to the data identification and collection methodology to reduce the number of cycles in the data collection process.

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More information

Published date: 1 January 2012
Venue - Dates: 2012 Operational Research Society Simulation Workshop, SW 2012, Worcestershire, United Kingdom, 2012-03-27 - 2012-03-28
Keywords: Ambulance service, Call centre, Data collection, Data identification, Simulation

Identifiers

Local EPrints ID: 433741
URI: https://eprints.soton.ac.uk/id/eprint/433741
PURE UUID: e12387e8-9ce1-4004-bf3c-5077da861ea8
ORCID for Stephan Onggo: ORCID iD orcid.org/0000-0001-5899-304X

Catalogue record

Date deposited: 03 Sep 2019 16:30
Last modified: 19 Nov 2019 01:22

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Contributors

Author: James Hill
Author: Stephan Onggo ORCID iD
Editor: Cathal Heavey
Editor: Durk-Jouke van der Zee
Editor: Benny Tjahjono
Editor: Stephan Onggo

University divisions

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