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Information Systems Group

Information Systems, Computer Engineering, Business Intelligence, Technology and Innovation

Summary

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. 

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.

Master Programs

Innovation is essential for the competitive position of companies. Through the development of desirable new products and services, innovation helps to win new customers and strengthens the loyalty of existing ones. Through the courage and perseverance of entrepreneurs, start-ups help address customer needs in entirely new ways. However, many new products and businesses fail or do not deliver the expected results because the competitive environment is dynamic and unstructured, which magnifies wrong managerial choices. The Innovation Management discipline studies the management of innovation processes and contains quantitative and qualitative theories, tools and techniques to make businesses and entrepreneurs more innovative as well as more successful in their innovation activities. Key aspects of the Innovation Management discipline are new product development, strategic marketing, sales and after-sales service management, business intelligence, open innovation, and entrepreneurship. The object of the studies is the new product and business development process. This includes the processes to cooperate with a diverse set of stakeholders and share knowledge with them. 

The Master Innovation Management (MSc IM) is a two-year, 120 ECTS program, that sequels the bachelor's program Industrial Engineering. The MSc IM program is theory-driven and multi-disciplinary, with a project-focus on the firm's innovation process. It conveys scientific theories, tools and techniques to manage and improve innovations both within and across companies. You will learn how to apply the gathered knowledge in industrial applications. In  other words, you will analyze the current innovative performance of a company, explain it in terms of quality, cost and time, and potentially improve this performance by re-engineering innovation processes. You will experience what it means to carry out research yourself, to gain new insights and to apply the acquired knowledge in many projects. This requires combining multi-disciplinary theoretical frameworks with quantitative (i.e., mathematical/statistical) or qualitative (i.e., interview/text-based) methodologies. The MSc IM program makes use of highly interactive lectures, assignments and group work, and the topics are related to state-of-the-art research of the school's professors.

Operations form the base of every organization, whether in manufacturing, service or non-profit industries. Operations Management and Logistics (OML) is a multidisciplinary field that addresses the efficiency and effectiveness of the operations of an organization. OML comprises disciplines such as product development, quality management, logistics, information systems, and human resource management. Operations extend from the performance management of a group of design engineers or building in quality-feedback loops to the precise prediction of production and delivery performance. Supply chain management and the design of information architectures for e-business are also part of operations management.

The key feature of the program is that it takes the interest of students central in terms of choice flexibility. The program offers the students five tracks (plus a special/free track) that consist of courses that belong together and master thesis subjects for which those courses are relevant: 1) Healthcare, 2) Capital Goods, 3) Consumer Goods, 4) Service Operations, and 5) Transportation. While the program still remains as one OML MSc program, the tracks are there to guide the students from the beginning in order to help them choose the most relevant courses for their master’s projects.

PhD Programs

The PhD Program in Industrial Engineering is offered by the School of Industrial Engineering at TU/e, one of the two schools in the Department of Industrial Engineering and Innovation Sciences. PhD students in the program perform their PhD projects in one of the four research groups in the school: Information Systems; Operations Planning, Accounting and Control; Innovation, Technology Entrepreneurship and Marketing, and Human Performance Management. Some projects are performed in a collaboration between two or more of these groups.

Courses

Operations Management and Logistics / Focus on Information Systems

Lecture

The engineering history has taught us well that it is essential to have a clear understanding of the problem and the requirements of the solution system in order to successfully design and implement the right solution. This course focuses on the methods and practices that are used to identify the needs and to define IT system solutions that will maximize the value delivered by an organization to its stakeholders. It provides an understanding of the organizational and managerial issues related to the elicitation, analysis, specification, verification, validation and management of IT system requirements. It discusses methods and practices that are applied not only for the development of innovative commercial software systems but also for the implementation of enterprise information systems. These systems support functions and business processes in various domains, including healthcare, logistics, financial services, and other industries particularly in the service environment.
The student groups will develop and verify requirements of a IT system or a specific part of it. This will significantly help in reinforcing the theoretical concepts and methods discussed during the lectures and in understanding the business analysis problems that can be encountered in business environment.

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Lecture

Modern businesses need to make sense of vast amounts of (unstructured) data in order to support business decisions, and remain competitive. Data Analytics for Business Intelligence (BI) addresses this purpose. It comprises the strategies and technologies used by organizations for the data analysis of business information. It provides insight into the business activities to support decision making.
This course provides an introduction to the major aspects of BI. It introduces the fundamental concepts, and covers the main methods and techniques to enable applications in real-world business context. It starts with the data provisioning process, ranging from data collection and preparation to modelling, evaluation and deployment, and continues with the approaches for data visualization and verbalization. Next, analytical techniques for supervised learning (prediction and classification) and unsupervised learning (clustering) are introduced. Topics of more recent relevance such as social network analytics are also discussed. 

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People

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Oktay Turetken is an Associate Professor in the Department of Industrial Engineering & Innovation Sciences at Eindhoven University of Technology (TU/e). His research interest centers around the topic of ‘business model engineering’ in an information systems/business process management (BPM) context, with special focus on the operational design and implementation of service-dominant business models using BPM methods and tools, and the organizational capabilities related to the strategic, people and cultural factors (i.e. soft factors of BPM) that influence an organization’s ability to redesign and manage business and process models. Current research projects focus on Business Model Engineering, Maturity Models in Business Process Management, Digital Transformation/Innovation.

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Editors

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Oktay Turetken is an Associate Professor in the Department of Industrial Engineering & Innovation Sciences at Eindhoven University of Technology (TU/e). His research interest centers around the topic of ‘business model engineering’ in an information systems/business process management (BPM) context, with special focus on the operational design and implementation of service-dominant business models using BPM methods and tools, and the organizational capabilities related to the strategic, people and cultural factors (i.e. soft factors of BPM) that influence an organization’s ability to redesign and manage business and process models. Current research projects focus on Business Model Engineering, Maturity Models in Business Process Management, Digital Transformation/Innovation.

 253
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Prof.dr.ir. Remko Helms is a full-professor in Information Systems at Open University in Heerlen since 2013. He studied applied physics at Fontys Hogeschool and received his bachelor degree cum laude. After that he received his master (cum laude) from Eindhoven University of Technology in Management Science & Industrial Engineering.

In 1996 Remko started to work as a business consultant for M.I.S. Organisatie-ingenieurs, and later EDS, supporting business and information managers in the introduction and implementation of Product Lifecycle Management (PLM) systems. Soon he started a PhD in early 1997 at Eindhoven University Technology and wrote a dissertation on Product Data Management as enabler for Concurrent Engineering. After receiving his PhD in 2002 he continued working as a business consultant and late 2003 he decided to continue a full time academic career at Utrecht University (till April 2016).

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