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Information Systems Group

Information Systems, Computer Engineering

Summary

Modern business organizations become more and more dependent on their information systems to deal with the complexity and changeability of the context (markets) in which they operate and consequently their internal organization structures. Up-to-date, complete and accurate information has become a necessity to survive in an increasingly competitive world. Developments like dynamic cooperation networks, mass customization of products and services, and end-to-end process control require automated means to control operational business processes, for the simple reason that humans cannot oversee the entire operation in an efficient and effective way anymore. Consequently, business requirements to information systems increase at a dazzling pace.

On the other hand, the rapid developments in information technology give way to application types that simply were not feasible just a few years ago. These developments range from basic computing technology via communication technology and a broad spectrum of data and process management technology to complete frameworks for enterprise information systems and e-business systems. Consequently, technology push forces have a major influence on current developments. The Information Systems Subdepartment focusses on systems to (re)design and support operational business processes in this tension field between business requirements pull and technology push.

Mission of the IS Group

To research and teach design, analysis, and use of advanced information systems for (re)design and support of operational business processes, both within the boundaries of a single organization and across these boundaries in the context of business service networks and industrial supply chains,

  • aiming at a balance between theoretical foundation and practical application,
  • harmonizing the demand pull and technology push developments in the field, and
  • taking business process management and business process intelligence as focal research areas, and healthcare and smart mobility as focal application areas.

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.

 211
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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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