Control Chart Methodology to Monitor Workload & Performance Measures
This research focuses on the further development and refinement of control chart methodology for monitoring organisational activity, resourcing and performance outcomes to inform management decisions within the AFP.
This project extended current lists of performance measures to incorporate a more complete set of outcomes including the drug harm index, investigations by drug type, investigations by conviction type, costs and benefits of drug seizures, among other outcomes. This research also developed the capacity to apply the control chart methodology at lower levels of desegregations, for example by office or by AFP function.
In addition to producing control chart methodology that can be used as a tool for monitoring organisational performance based on outcome measures that are specific to the AFP, this research contributes to the further development of statistical control chart methodology in the academic literature. The analysis of selected historical time series data that are stored in the AFP criminal investigations database will provide an insight into trends of criminal activity that have previously been explored in Australia.
Angela Higginson. (2012) PhD Thesis.
Higginson, A. (2010). Commonwealth Fraud: Who’s going down? British Society of Criminology (2010) Annual Conference, 11-14 July, Leicester: The University of Leicester.
Higginson, A.M. (2009). Faces of Fraud: A typology of serious and complex economic fraud against Australian commonwealth agencies. British Society of Criminology (BSC) conference, 29 June – 1 July, Cardiff, UK.
Higginson, A., Haynes, M. and Wickes, R. (In preparation). Faces of fraud: A typology of suspects in cases of serious and complex Commonwealth fraud.
Higginson, A. and Haynes, M. (2008). Automated control charts for administrative data with non-normal probability distributions. Conference for Applied Probability and Statistics, Hanoi, Vietnam. 1-3 December 2008.