A framework for cost-aware process management : cost reporting and cost prediction

Wynn, Moe T., Low, Wei Zhe, ter Hofstede, Arthur H.M., & Nauta, Wiebe (2014) A framework for cost-aware process management : cost reporting and cost prediction. Journal of Universal Computer Science, 20(3), pp. 406-430.

[img] Accepted Version (PDF 976kB)
Administrators only | Request a copy from author
Published Version (PDF 532kB)

View at publisher (open access)


Organisations are constantly seeking efficiency gains for their business processes in terms of time and cost. Management accounting enables detailed cost reporting of business operations for decision making purposes, although significant effort is required to gather accurate operational data. Process mining, on the other hand, may provide valuable insight into processes through analysis of events recorded in logs by IT systems, but its primary focus is not on cost implications. In this paper, a framework is proposed which aims to exploit the strengths of both fields in order to better support management decisions on cost control. This is achieved by automatically merging cost data with historical data from event logs for the purposes of monitoring, predicting, and reporting process-related costs. The on-demand generation of accurate, relevant and timely cost reports, in a style akin to reports in the area of management accounting, will also be illustrated. This is achieved through extending the open-source process mining framework ProM.

Impact and interest:

0 citations in Scopus
Search Google Scholar™
4 citations in Web of Science®

Citation counts are sourced monthly from Scopus and Web of Science® citation databases.

These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.

Citations counts from the Google Scholar™ indexing service can be viewed at the linked Google Scholar™ search.

Full-text downloads:

216 since deposited on 01 Oct 2013
59 in the past twelve months

Full-text downloads displays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.

ID Code: 63036
Item Type: Journal Article
Refereed: Yes
Additional Information: Special Issue: Conceptual Modelling with Specific Focus on Service-Oriented Systems
Keywords: Business process management, management accounting, process mining, cost reporting, cost prediction
ISSN: 0948-695X
Subjects: Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > INFORMATION SYSTEMS (080600)
Divisions: Past > QUT Faculties & Divisions > Faculty of Science and Technology
Current > Schools > School of Information Systems
Copyright Owner: Copyright 2014 Journal of Universal Computer Science
Deposited On: 01 Oct 2013 22:46
Last Modified: 30 Sep 2015 07:56

Export: EndNote | Dublin Core | BibTeX

Repository Staff Only: item control page