Quotation Sperl, Simon, Havur, Giray, Steyskal, Simon, Cabanillas Macias, Cristina, Polleres, Axel, Haselböck, Alois. 2017. Resource Utilization Prediction in Decision-Intensive Business Processes. In 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017), Hrsg. Paolo Ceravolo, Maurice Van Keulen, Kilian Stoffel, 128-141. Neuchâtel, Switzerland: CEUR Workshop Proceedings.




An appropriate resource utilization is crucial for organizations in order to avoid, among other things, unnecessary costs (e.g. when resources are under-utilized) and too long execution times (e.g. due to excessive workloads, i.e. resource over-utilization). However, traditional process control and risk measurement approaches do not address resource utilization in processes. We studied an often-encountered industry case for providing large-scale technical infrastructure which requires rigorous testing for the systems deployed and identified the need of projecting resource utilization as a means for measuring the risk of resource under and over-utilization. Consequently, this paper presents a novel predictive model for resource utilization in decision-intensive processes, present in many domains. In particular, we predict the utilization of resources for a desired period of time given a decision-intensive business process that may include nested loops, and historical data (i.e. order and duration of past activity executions, resource profiles and their experience etc.). We have applied our method using a real business process with multiple instances and presented the outcome.


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Publication's profile

Status of publication Published
Affiliation WU
Type of publication Contribution to conference proceedings
Language English
Title Resource Utilization Prediction in Decision-Intensive Business Processes
Title of whole publication 7th International Symposium on Data-driven Process Discovery and Analysis (SIMPDA 2017)
Editor Paolo Ceravolo, Maurice Van Keulen, Kilian Stoffel
Page from 128
Page to 141
Location Neuchâtel, Switzerland
Publisher CEUR Workshop Proceedings
Year 2017
URL http://ceur-ws.org/Vol-2016/paper10.pdf
Open Access N


Safety-critical Human- and dAta-centric Process management in Engineering projects (SHAPE)
Havur, Giray (Former researcher)
Steyskal, Simon (Former researcher)
Cabanillas Macias, Cristina (Former researcher)
Polleres, Axel (Details)
Haselböck, Alois (Siemens AG, Austria)
Sperl, Simon (Siemens AG, Austria)
Institute for Data, Process and Knowledge Management IN (Details)
Information Systems and Operations Management DP (Details)
Research areas (ÖSTAT Classification 'Statistik Austria')
1104 Applied mathematics (Details)
1121 Operations research (Details)
1122 Artificial intelligence (Details)
1146 Management information systems (Details)
5701 Applied statistics (Details)
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