Mining Resource Profiles from Event Logs

In most business processes, several activities need to be executed by human resources and cannot be fully automated. To evaluate resource performance and identify best practices as well as opportunities for improvement, managers need objective information about resource behaviors. Companies often use information systems to support their processes, and these systems record information about process execution in event logs. We present a framework for analyzing and evaluating resource behavior through mining such event logs. The framework provides (1) a method for extracting descriptive information about resource skills, utilization, preferences, productivity, and collaboration patterns; (2) a method for analyzing relationships between different resource behaviors and outcomes; and (3) a method for evaluating the overall resource productivity, tracking its changes over time, and comparing it to the productivity of other resources. To demonstrate the applicability of our framework, we apply it to analyze employee behavior in an Australian company and evaluate its usefulness by a survey among industry managers.

[1]  M. J. Mawdesley,et al.  Perception of human risk factors in construction projects: an exploratory study , 2004 .

[2]  Gary M. Thompson,et al.  Variable employee productivity in workforce scheduling , 2006, Eur. J. Oper. Res..

[3]  Emmanuel Thanassoulis,et al.  Assessing police forces in England and Wales using data envelopment analysis , 1995 .

[4]  Jeroen P. van den Berg,et al.  Improving operational performance by influencing shopfloor behavior via performance management practices , 2011 .

[5]  Ernesto Damiani,et al.  Translating Process Mining Results into Intelligible Business Information , 2016, KMO.

[6]  Andy Neely,et al.  Performance measurement system design: developing and testing a process‐based approach , 2000 .

[7]  K. Narasimhan.  Services Marketing: People, Technology, Strategy , 2004 .

[8]  Hilla Peretz,et al.  National cultures, performance appraisal practices, and organizational absenteeism and turnover: a study across 21 countries. , 2012, The Journal of applied psychology.

[9]  P. Bogetoft,et al.  Benchmarking with DEA, SFA, and R , 2011 .

[10]  Wil M. P. van der Aalst,et al.  Process Mining , 2016, Springer Berlin Heidelberg.

[11]  Wil M. P. van der Aalst.  Business Process Simulation Revisited , 2010, EOMAS.

[12]  Rupy Sawhney,et al.  Human Behavior Based Exploratory Model for Successful Implementation of Lean Enterprise in Industry. , 2008 .

[13]  Moe Thandar Wynn,et al.  Evaluating and predicting overall process risk using event logs , 2016, Inf. Sci..

[14]  Wil M. P. van der Aalst,et al.  A General Framework for Correlating Business Process Characteristics , 2014, BPM.

[15]  Hadi Shirouyehzad,et al.  Application of PCA/DEA method to evaluate the performance of human capital management A case study , 2013 .

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

[17]  Moe Thandar Wynn,et al.  Predicting Deadline Transgressions Using Event Logs , 2012, Business Process Management Workshops.

[18]  Panagiotis Papapetrou,et al.  Size Matters: Finding the Most Informative Set of Window Lengths , 2012, ECML/PKDD.

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

[20]  H. B. Mann,et al.  On a Test of Whether one of Two Random Variables is Stochastically Larger than the Other , 1947 .

[21]  J. Brian Gray,et al.  Introduction to Linear Regression Analysis , 2002, Technometrics.

[22]  Wil M. P. van der Aalst,et al.  Analyzing Resource Behavior Using Process Mining , 2009, Business Process Management Workshops.

[23]  Marc Antoni,et al.  Process orientation: The Swedish experience , 1999 .

[24]  Michael Rosemann,et al.  The Six Core Elements of Business Process Management , 2015, Handbook on Business Process Management.

[25]  Wil M. P. van der Aalst,et al.  Process Cubes: Slicing, Dicing, Rolling Up and Drilling Down Event Data for Process Mining , 2013, AP-BPM.

[26]  Mykola Pechenizkiy,et al.  Dealing With Concept Drifts in Process Mining , 2014, IEEE Transactions on Neural Networks and Learning Systems.

[27]  William W. Cooper,et al.  Data Envelopment Analysis: History, Models, and Interpretations , 2011 .

[28]  David Ruiz,et al.  Priority-Based Human Resource Allocation in Business Processes , 2013, ICSOC.

[29]  Richard D. Johnson,et al.  Human resource metrics and decision support: A classification framework , 2013 .

[30]  Douglas M. Hawkins,et al.  A Nonparametric Change-Point Control Chart , 2010 .

[31]  Peter Murphy,et al.  Service performance measurement using simple techniques actually works , 1999 .

[32]  D. Sterman,et al.  Misperceptions of Feedback in a Dynamic Decision Making Experiment , 1989 .

[33]  Richard Shearmur,et al.  Knowledge-intensive business services : geography and innovation , 2010 .

[34]  Zhonghua Ni,et al.  Mining event logs to support workflow resource allocation , 2012, Knowl. Based Syst..

[35]  John N. Pearson,et al.  Jit Manufacturing: a Survey of Implementations in Small and Large U.S. Manufacturers , 1999 .

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

[37]  Mathias Weske,et al.  Business Process Management: Concepts, Languages, Architectures , 2007 .

[38]  Katrin Baumgartner.  What Is Politics The Activity And Its Study , 2016 .

[39]  Andreas Burger,et al.  Detecting Intrinsic Inefficiency on Process Level: Benchmarking of Transactions in Banking , 2008, Business Process Management Workshops.

[40]  Wil M. P. van der Aalst,et al.  Business Process Simulation Survival Guide , 2015, Handbook on Business Process Management.

[41]  Sai S. Nudurupati,et al.  State of the art literature review on performance measurement , 2011, Comput. Ind. Eng..

[42]  Moe Thandar Wynn,et al.  Profiling Event Logs to Configure Risk Indicators for Process Delays , 2013, CAiSE.

[43]  Michael Leyer,et al.  How lean are financial service companies really? Empirical evidence from a large scale study in Germany , 2014 .

[44]  Hajo A. Reijers,et al.  Discovering Social Networks from Event Logs , 2005, Computer Supported Cooperative Work (CSCW).

[45]  LeyerMichael,et al.  Mining Resource Profiles from Event Logs , 2017 .

[46]  Daniela Grigori,et al.  Process Analytics - Concepts and Techniques for Querying and Analyzing Process Data , 2016 .

[47]  Andy Neely,et al.  Performance measurement system design , 1995 .

[48]  Douglas C. Montgomery,et al.  Introduction to Linear Regression Analysis, Solutions Manual (Wiley Series in Probability and Statistics) , 2007 .

[49]  Michael Leyer,et al.  Towards a Context-Aware Analysis of Business Process Performance , 2011, PACIS.

[50]  Niall M. Adams,et al.  Two Nonparametric Control Charts for Detecting Arbitrary Distribution Changes , 2012 .

[51]  Mark P. J. van der Loo,et al.  Distribution based outlier detection in univariate data , 2010 .

[52]  Michael Leyer,et al.  Combining Data Envelopment Analysis and Business Process Simulation for Analyzing the Efficiency of Business Processes , 2010 .

[53]  Anastasiia Pika.  Mining process risks and resource profiles , 2015 .

[54]  S. G. Deshmukh,et al.  Employee Performance Appraisal Using Data Envelopment Analysis: A Case Study , 2009 .

[55]  T. Andreassen,et al.  Services Marketing: People, Technology, Strategy, 5th ed. , 2005 .

[56]  Bogetoft,et al.  [International Series in Operations Research & Management Science] Benchmarking with DEA, SFA, and R Volume 157 || Data Envelopment Analysis DEA , 2011 .

[57]  Michael A. Novak,et al.  Advances in physician profiling: the use of DEA , 2003 .

[58]  Q. Lib,et al.  Nonparametric estimation of regression functions with both categorical and continuous data , 2004 .

[59]  Macarena Espinilla,et al.  A 360-degree performance appraisal model dealing with heterogeneous information and dependent criteria , 2013, Inf. Sci..

[60]  C. Humby,et al.  Process Mining: Data science in Action , 2014 .

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

[62]  Wil M. P. van der Aalst,et al.  Towards comprehensive support for organizational mining , 2008, Decis. Support Syst..

[63]  Claudio Di Ciccio,et al.  Knowledge-Intensive Processes: Characteristics, Requirements and Analysis of Contemporary Approaches , 2015, Journal on Data Semantics.

[64]  Chris Wilbert,et al.  How are they doing? The Application of Data Envelopment Analysis to Develop a Strategic Performance Appraisal on Individual Level , 2014 .