Organization profile

Introduction / mission

The Information Systems (IS) group studies design, optimization and computer-aided decision support in operational processes within and between organizations.

Highlighted phrase

Create value through intelligent processing of business information

Organisational profile

The Information Systems (IS) Group at Eindhoven University of Technology (TU/e) operates within the general area of business information systems. Our research focuses on the design, optimization and computer-aided support of operational processes within and between organizations through business process engineering. We study implications for information systems, information system design, governance and decision support. The research focus includes design methods, analysis tools, information system architectures, data mining and intelligent systems development using advanced prototypes. Our approach is model-centric and engineering-oriented, integrating basic and applied research with contemporary real-world cases.

Business organizations increasingly depend on their information systems to align internalorganization structures and deal with the complexity and changeability of markets. Up-to-date, complete and accurate information from big data has become a necessity to survive in an increasingly competitive world. As overseeing operations becomes too complicated for humans, business requirements related to information systems are growing exponentially. Rapid developments in information technology enable application types unimaginable a few years ago. Information systems are vital for the design and control of successful operational processes. Increasing complexity and dependence on information systems are driving significant changes across many sectors, from logistics, mobility services and hi-tech manufacturing to healthcare.

IS research concentrates on the following:

Process modeling, architecture design and software management
Optimal decision support and intelligent system design
Balancing theoretical foundation and practical application
Harmonizing demand-pull and technology-push developments in the field
Business Process Engineering for Smart Mobility and HealthCare

The IS group studies implications for information system architectures and design, business process modeling, governance and decision support and distinguishes three research clusters: Business Engineering, Process Engineering and Business Intelligence. Application areas include hightech industry, logistics, mobility, healthcare, and services.

Business Engineering (BE) focuses on the investigation and development of new concepts, methods, and techniques for the development and implementation of innovative business solutions. This involves the support for the engineering of business models into business processes, organizational structures, architectures, and information systems, and connecting all aspects of digital transformation. It emphasizes on customer/user orientation and focuses not only on the technical design of new business solutions, but also on their strategic, governance, human and cultural dimensions.

Process Engineering (PE) is devoted to the investigation and development of new concepts, models, techniques, tools and application scenarios for the analysis and (re)design of operational business processes. Topic areas include data-driven engineering of business processes, human aspects of process engineering, decision support for business processes, process mining, mapping business models to business processes, mapping business processes onto system architectures.

Business Intelligence (BI) develops methods, techniques and tools for advanced analysis of business processes and optimal decision-making in their execution. Data mining, text mining, process mining, machine learning and computational intelligence methods are applied for building consistent models that make use of different modalities of data from multiple sources. These approaches can be used to design and improve information system for developing intelligent decision support with which organizations can fulfil their goals of operational excellence and improved decision making.

More information

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Profiles

Onat Ege Adali, MSc

o.e.adali@tue.nl

Department of Industrial Engineering & Innovation Sciences, Information Systems IE&IS - Doctoral Candidate

Person: Prom. : doctoral candidate (PhD)

Alexia Athanasopoulou

a.athanasopoulou@tue.nl

Department of Industrial Engineering & Innovation Sciences, Information Systems IE&IS - Assistant Professor

Person: UD : Assistant Professor

Banu Aysolmaz

b.e.aysolmaz@tue.nl

Department of Industrial Engineering & Innovation Sciences, Information Systems IE&IS - Assistant Professor

Person: UD : Assistant Professor

Projects

3 Finished
5 Active

Improved Traceability of Parts and Products

Dijkman, R. M., Dijkman, R. M. & Eryilmaz, U.

1/10/18 → 31/05/21

Project: Research direct

Gamification for Overweight prevention and Active Lifestyle

van Gorp, P. M. E., van Gorp, P. M. E., Kaymak, U. & Nuijten, R.

1/02/18 → 31/01/21

Project: Research direct

Accelerating C-ITS Mobility Innovation and depLoyment in Europe

Grefen, P. W. P. J., Türetken, O., Türetken, O. & Adali, O. E.

29/05/17 → 30/11/20

Project: Research direct

Research Output

A framework for modelling and analysing coordination challenges in hinterland transport systems

Gumuskaya, V., van Jaarsveld, W. L., Dijkman, R. M., Grefen, P. W. P. J. & Veenstra, A. W., 1 Mar 2020, In : Maritime Economics and Logistics. 22, 1, p. 124-145 22 p.

Research output: Contribution to journal › Article › Academic › peer-review

A latitudinal study on the use of sequential and concurrency patterns in deviance mining

Genga, L., Potena, D., Chiorrini, A., Diamantini, C. & Zannone, N., 1 Jan 2020, Studies in Computational Intelligence. Appice, A., Ceci, M., Loglisci, C., Manco, G., Masciari, E. & Ras, Z. (eds.). Cham: Springer, p. 103-119 17 p. (Studies in Computational Intelligence; vol. 880).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › Academic › peer-review