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

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Published

Standard

Data identification and collection methodology in a simulation project: An action research. / Hill, James; Onggo, Stephan.

Proceedings of the 6th Operation Research Society Simulation Workshop. Operational Research Society, 2012. p. 211-220.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSNConference contribution/Paper

Harvard

Hill, J & Onggo, S 2012, Data identification and collection methodology in a simulation project: An action research. in Proceedings of the 6th Operation Research Society Simulation Workshop. Operational Research Society, pp. 211-220.

APA

Hill, J., & Onggo, S. (2012). Data identification and collection methodology in a simulation project: An action research. In Proceedings of the 6th Operation Research Society Simulation Workshop (pp. 211-220). Operational Research Society.

Vancouver

Hill J, Onggo S. Data identification and collection methodology in a simulation project: An action research. In Proceedings of the 6th Operation Research Society Simulation Workshop. Operational Research Society. 2012. p. 211-220

Author

Hill, James ; Onggo, Stephan. / Data identification and collection methodology in a simulation project: An action research. Proceedings of the 6th Operation Research Society Simulation Workshop. Operational Research Society, 2012. pp. 211-220

Bibtex

@inproceedings{92b4ce3bd88f4e84ab445b331afa8ee7,
title = "Data identification and collection methodology in a simulation project: An action research",
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.",
keywords = "Simulation Methods, Data collection, project",
author = "James Hill and Stephan Onggo",
year = "2012",
language = "English",
pages = "211--220",
booktitle = "Proceedings of the 6th Operation Research Society Simulation Workshop",
publisher = "Operational Research Society",

}

RIS

TY - GEN

T1 - Data identification and collection methodology in a simulation project: An action research

AU - Hill, James

AU - Onggo, Stephan

PY - 2012

Y1 - 2012

N2 - 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.

AB - 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.

KW - Simulation Methods

KW - Data collection

KW - project

M3 - Conference contribution/Paper

SP - 211

EP - 220

BT - Proceedings of the 6th Operation Research Society Simulation Workshop

PB - Operational Research Society

ER -