Retrieving Resource Availability Insights from Event Logs

Resources are a critical component of a business process as they execute the activities. These resources, especially human resources, are not permanently available and tend to be involved in multiple processes. However, a company might wish to analyze or model a single process. To this end, insights need to be gathered on the availability of a resource for a particular process. This paper presents a procedure to retrieve daily availability records from an event log, which express a resource's availability for the process under analysis while taking into account (i) the temporal dimension of availability and (ii) intermediate availability interruptions. Both the daily availability records themselves and the resource availability metrics that are introduced allow managers and employees to gain understanding in resource allocation to a process. The outlined procedure and metrics are applied to a real-life call center log, showing the need to post-process the daily availability records. Post-processing increases their comprehensiveness and is required to obtain meaningful values for particular metrics.

[1]  Huilong Duan,et al.  Mining association rules to support resource allocation in business process management , 2011, Expert Syst. Appl..

[2]  Kerim Tumay Business process simulation , 1995, WSC '95.

[3]  Sander J. J. Leemans,et al.  Using Life Cycle Information in Process Discovery , 2016, Business Process Management Workshops.

[4]  J Joyce Nakatumba,et al.  Resource-aware business process management : analysis and support , 2013 .

[5]  Wil M. P. van der Aalst,et al.  Process Mining - Discovery, Conformance and Enhancement of Business Processes , 2011 .

[6]  Jianmin Wang,et al.  A semi-automatic approach for workflow staff assignment , 2008, Comput. Ind..

[7]  Peter Dadam,et al.  Mining Staff Assignment Rules from Event-Based Data , 2005, Business Process Management Workshops.

[8]  Niels Martin,et al.  The Use of Process Mining in Business Process Simulation Model Construction , 2016, Bus. Inf. Syst. Eng..

[9]  Bart Baesens,et al.  A multi-dimensional quality assessment of state-of-the-art process discovery algorithms using real-life event logs , 2012, Inf. Syst..

[10]  Jan Mendling,et al.  Mining the Organisational Perspective in Agile Business Processes , 2015, BMMDS/EMMSAD.

[11]  Akhil Kumar,et al.  Dynamic Work Distribution in Workflow Management Systems: How to Balance Quality and Performance , 2002, J. Manag. Inf. Syst..

[12]  Hajo A. Reijers,et al.  Workflow Management Systems + Swarm Intelligence = Dynamic Task Assignment for Emergency Management Applications , 2007, BPM.

[13]  Remco M. Dijkman,et al.  Optimal Resource Assignment in Workflows for Maximizing Cooperation , 2013, BPM.

[14]  Weidong Zhao,et al.  The Optimization of Resource Allocation Based on Process Mining , 2015, ICIC.

[15]  Huilong Duan,et al.  Resource behavior measure and application in business process management , 2012, Expert Syst. Appl..

[16]  Matthias Weidlich,et al.  Queue Mining - Predicting Delays in Service Processes , 2014, CAiSE.

[17]  Jan Mendling,et al.  The State of the Art of Business Process Management Research as Published in the BPM Conference , 2015, Business & Information Systems Engineering.

[18]  Jianmin Wang,et al.  An Optimal Approach for Workflow Staff Assignment Based on Hidden Markov Models , 2008, OTM Workshops.

[19]  Jiajie Xu,et al.  Resource Allocation vs. Business Process Improvement: How They Impact on Each Other , 2008, BPM.

[20]  Averill M. Law,et al.  Simulation Modeling and Analysis , 1982 .

[21]  Wil M.P. van der Aalst,et al.  Business process simulation , 2010, BPM 2010.

[22]  Avishai Mandelbaum,et al.  Empirical analysis of a call center , 2000 .

[23]  Moe Thandar Wynn,et al.  An Extensible Framework for Analysing Resource Behaviour Using Event Logs , 2014, CAiSE.

[24]  Andreas Wombacher,et al.  Towards a performance estimate in semi-structured processes , 2011, 2011 IEEE International Conference on Service-Oriented Computing and Applications (SOCA).