TY - JOUR

T1 - Data identification and data collection methods in simulation

T2 - a case study at ORH Ltd

AU - Onggo, Stephan

AU - Hill, James

PY - 2014

Y1 - 2014

N2 - There seems to be 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. This paper discusses how simulation practitioners identify and collect data for simulation projects. The data was collected from ORH Ltd, a management consultancy company using participant observations method and an experiment using a mock case scenario. From the observation, we produce a generic data identification and collection method. The method is evaluated using a real project conducted for a UK Ambulance Service.The experiment reveals variations in the data identification process that are influenced by the role and the level of experience of modellers.

AB - There seems to be 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. This paper discusses how simulation practitioners identify and collect data for simulation projects. The data was collected from ORH Ltd, a management consultancy company using participant observations method and an experiment using a mock case scenario. From the observation, we produce a generic data identification and collection method. The method is evaluated using a real project conducted for a UK Ambulance Service.The experiment reveals variations in the data identification process that are influenced by the role and the level of experience of modellers.

KW - simulation modelling

KW - Data collection

KW - data

KW - Data Identification

U2 - 10.1057/jos.2013.28

DO - 10.1057/jos.2013.28

M3 - Journal article

VL - 8

SP - 195

EP - 205

JO - Journal of Simulation

JF - Journal of Simulation

SN - 1747-7778

IS - 3

ER -