A framework for cost-aware process management : generation of accurate and timely management accounting cost reports
Wynn, Moe T., Low, Wei Zhe, & Nauta, Wiebe (2013) A framework for cost-aware process management : generation of accurate and timely management accounting cost reports. In Ferrarotti, F. & Grossmann, G. (Eds.) Conceptual Modelling 2013 : Proceedings of the Ninth Asia-Pacific Conference on Conceptual Modelling [Conferences in Research and Practice in Information Technology, Volume 143], Australian Computer Society, Inc., University of South Australia, Adelaide, SA, pp. 79-88.
Organisations are constantly seeking efficiency improvements for their business processes in terms of time and cost. Management accounting enables reporting of detailed cost of operations for decision making purpose, although significant effort is required to gather accurate operational data. Business process management is concerned with systematically documenting, managing, automating, and optimising processes. Process mining gives valuable insight into processes through analysis of events recorded by an IT system in the form of an event log with the focus on efficient utilisation of time and resources, although its primary focus is not on cost implications. In this paper, we propose a framework to support management accounting decisions on cost control by automatically incorporating cost data with historical data from event logs for monitoring, predicting and reporting process-related costs. We also illustrate how accurate, relevant and timely management accounting style cost reports can be produced on demand by extending open-source process mining framework ProM.
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|Item Type:||Conference Paper|
|Keywords:||business process management, management accounting, process mining, cost mining, cost reporting|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600) > Conceptual Modelling (080603)|
|Divisions:||Current > Schools > School of Information Systems|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2013 Australian Computer Society, Inc.|
|Deposited On:||24 Oct 2012 10:56|
|Last Modified:||10 Apr 2014 22:37|
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