Remco Dijkman is an Associate Professor in Information Systems at Eindhoven University of Technology (TU/e). His key area of research is Business Process Engineering. In particular, he studies techniques for modeling business processes, including their formal (mathematical) underpinning, and the analysis techniques that can be developed on top of these formal models. His focus topics are the following. Detection of optimal execution scenarios Different combinations of activities, also called execution scenarios, may be performed to serve different types of customers. This may be partly due to properties of the customer. For example, different activities are executed for preferred customers than for other types of customers. However, it may also depend on the creativity of the employee or to handle unexpected events that occur. After collecting information on the activities that are executed, the combinations that have the best performance can be determined for different types of customers. These execution scenarios can serve as ‘best practices’ for helping different types of customers. Quantitative analysis of operational processes Once information is collected on the activities that are performed, this information can be used to parameterize a (mathematical) model of the business processes that are executed. With this model, what-if analysis can be done to help fine-tune the model. Also, predictive analysis can be done, to determine what we expect will happen with a new customer that arrives in terms of the throughput time of that customer or the probability that the a desired outcome will be achieved with the customer. Optimal resource assignment in operational processes Collected information and predictive analysis can then be used to optimize current and future resource allocation to tasks. Using optimization techniques, questions can be answered such as: which resource should work on which case in such a way that my customers are served best in terms of, for example, throughput time or customer satisfaction; or: should measures, such as hiring temporary resources, be taken to meet KPI requirements for the process?
Remco Dijkman received his PhD from the University of Twente, where he has held positions as a postdoctoral researcher and as a research assistant. Before working at the University of Twente, he combined work as a research assistant at the Open University of the Netherlands with a position as a consultant at Ordina. He has been a visitor of New York University, Hasso Plattner Institute, IBM Zurich Research Lab, Humboldt-University Berlin, and Queensland University of Technology.
Remco has published over 50 papers in scientific journals, conferences and workshops. His work appeared in Information Systems, Computers in Industry and Transactions on Software Engineering and Methodology. He serves on the editorial board of Information Systems. Remco has worked as a researcher in a number of national and international projects, including the SPICE European project and the SHOPPS, NLI, ArCo, and A-MUSE national projects. He has been the project leader of the DAIPEX Dinalog project and the GET Service European project. Currently, Remco is project leader of the ISOLA and IToPP NWO projects and participates in the DATAS NWO project.
Advanced queueing models for quantitative business process analysis44th Euromicro Conference on Software Engineering and Advanced Applications, SEAA 2018 (2018)
Advanced simulation of resource constructs in business process models16th International Conference on Business Process Management, BPM 2018 (2018)
Native directly follows operatorarXiv (2018)
An integrated view on the future of logistics and information technology(2018)
Advanced Information Systems Engineering Workshops(2018)
- Introduction Industrial Engineering
- Algorithmic Programming for Operations Management
- MSc thesis double degree program
- Business process management
- Advieswerkzaamheden, Captix Holding B.V.