The Department of Industrial Management is a recognised partner for applied research and training in the field of industrial engineering and management.

Services

As a recognised partner for applied research and training in the field of industrial engineering and management, our teaching and research is geared to current developments and challenges in industry. In research, we initiate and actively engage in future- and practice-orientated research projects. We train our students in a scientifically well-founded and practical way. The department maintains a regular dialogue with regional industry, experts, other research and educational institutions and students.

With a total of 6 employees and more than 30 external lecturers who work in this field, we are able to offer our teaching and research skills in almost all areas of industrial engineering and management.

Teaching

We offer our many years of teaching expertise in various study programmes and professional development courses. This includes the content-related and didactic design of courses and the professional and methodical supervision of Bachelor papers and Master’s theses in the department’s areas of competence.

The Industrial Management department is currently teaching courses in the following study programmes and professional development courses:

  • Business Engineering
  • Mechatronics and Microsystems Engineering
  • Business Consultancy
  • Biotechnical Processes
  • Robotics
  • Basic & Mid-Level Nursing Management

Research

A motivated team with many years of research experience in the field of industrial engineering and management carries out practical research projects with regional industrial companies.

Research areas

  • Design and operation of industrial production systems
  • Logistical process optimisation in industrial production
  • Digitisation and artificial intelligence in industrial production
  • Sustainability in industrial production
  • Digitalisation, New business models in industry, product / service systems

Research infrastructure

  • Smart Factory Lab: The smart factory is a physical simulation environment for a discrete manufacturing factory. It is based on several workplace modules that simulate the automated handling, storing and processing of parts.

Current research projects

  • Intelligent fleet management for the vehicle fleet of the city of Wiener Neustadt’s waste management department
    • Project content: Development of an app and algorithms for route optimisation
    • Project partners: Tachoeasy GmbH and WNSKS GmbH
  • Integrated production and energy management for industrial companies that generate their own energy from renewable sources
    • Project content: Development of a simulation model for the evaluation and optimisation of various production strategies

Publications

Brodschelm, Dominik/Erol, Selim/Kühnen, Jakob (2020): Integriertes Energie- und Produktionsmanagement für Industriebetriebe – eine Simulationsstudie. In: Institut für Elektrizitätswirtschaft und Energieinnovation (IEE), Technische Universität Graz (TU Graz) (Hrsg.): 10.3217/978-3-85125-734-2. Verlag der Technischen Universität Graz. Graz.
Erol, Selim/Klug, Siegrun (2020): Together We are Less Alone - A Concept for a Regional Open Innovation Learning Lab. In: CIRP (Hrsg.). Procedia CIRP. Graz.
Romauch, Martin; Erol, Selim; Kühnen, Jakob (2020): Achieving long term sustainable multicriteria goalswith operational and tactical decisions. In: https://warwick.ac.uk/fac/sci/wmg/mediacentre/wmgevents/euroma2020/proceedings/. EurOMA. online.
Erol, Selim (2019): Industrie 4.0 - Gedanken über die Zukunft der Produktion in Europa und aktuelle Forschungsaktivitäten in der Industrie 4.0 Pilotfabrik der TU Wien. In: Achammer, Christoph; Kovacic, Iva (Hrsg.). Klein Publishing. Wien.
Erol, Selim (2017): Recalling the rationale of change from process model revision comparison – A change-pattern based approach. In: Computers in Industry, Elsevier. Brussels.
Erol, Selim (2017): “Lotsize 1” – Effects of Individualization on Planning and Control of Production Systems. In: Wien.
Schumacher, Andreas; Erol, Selim; Sihn, Wilfried (2016): A maturity model for assessing Industry 4.0 readiness and maturity of manufacturing enterprises. In: CIRP (Hrsg.): https://doi.org/10.1016/j.procir.2016.07.040. Procedia CIRP. Bath / UK.
Erol, Selim; Wilfried, Sihn (2016): Intelligent Production Planning and Control in the Cloud – Towards a Scalable Software Architecture. In: CIRP (Hrsg.): 10.1016/j.procir.2017.01.003. Procedia CIRP. Ischia/Italy.
Erol, Selim (2016): Collaborative Modeling of Manufacturing Processes – a Wiki-Based Approach. In: Springer. Sydney.
Erol, Selim; Jäger, Andreas; Hold, Philipp; Ott, Karl; Sihn, Wilfried (2016): Tangible Industry 4.0: a scenario-based approach to learning for the future of production. In: 10.1016/j.procir.2016.03.162. CIRP. Gjøvik, Norway.
Erol, Selim; Hold, Philipp (2016): Keeping Track of the Physical in Assembly Processes. In: 10.1109/EDOCW.2016.7584365. IEEE. Wien.

Head of Department

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Meet the Team

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