MaxFab – Management of Energy-Flexible Factories

Interior view of a factory Westend61/Getty Images

Project staff:

Department of Enterprise-Wide Software Systems
Faculty of Mathematics and Computer Science
Prof. Dr. Lars Mönch

Chair of Quantitative Methods and Business Mathematics
Faculty of Business Administration and Economics
Prof. Dr. Andreas Kleine

Department of General Psychology: Learning, Motivation, Emotion
Faculty of Psychologie
Prof. Dr. Robert Gaschler

Chair of Banking and Finance Management
Faculty of Business Administration and Economics
Prof. Dr. Rainer Baule

Chair of Production and Logistics
Faculty of Business Administration and Economics
Prof. Dr. Karsten Kieckhäfer

Project description:

This interdisciplinary research initiative aims to expand and build on our knowledge of the strategic planning and operational management of energy-flexible factories. Empirical studies and the development of new methods will provide the basis for the next generation of operational planning systems and contribute to an environmentally friendly and competitive economic system.

    • Fandel, G., Kleine, A. & Dellnitz, A. (2020). Editorial sustainable decision-making in production and logistics. Journal of Business Economics, 90(9), 1285–1287.
    • Rocholl, J., Mönch, L., & Fowler, J. (2020). Bi-criteria parallel batch machine scheduling to minimize total weighted tardiness and electricity cost. Journal of Business Economics, 90(9), 1345–1381.
    • Dellnitz, A., Braschczok, D., Ostmeyer, J., Hilbert, M., & Kleine, A. (2020). Energy costs vs. carbon dioxide emissions in short-term production planning. Journal of Business Economics, 90(9), 1383–1407.
    • Ziarnetzky, T., Mönch, L., Kannaian, T., & Jimenez, J. (2017, December). Incorporating elements of a sustainable and distributed generation system into a production planning model for a wafer fab. In 2017 Winter Simulation Conference (WSC) (pp. 3519-3530), Las Vegas, Nevada, USA.

  • Braschczok, D., Dellnitz, A., Kleine, A., Ostmeyer, J. (2017): Energy-efficient multi-objective scheduling, OR2017 Annual International Conference of the German Operations Research Society, Berlin, 2017-09-07.

    Strob, L., Volling, T. (2017): Energy-oriented scheduling of parallel machines considering peak demand charges and labor costs, OR2017 Annual International Conference of the German Operations Research Society, Berlin, 2017-09-07.

    Ziarnetzky, T., Mönch, L., Jimenez, J. (2017): Incorporating Elements of a Sustainable and Distributed Generation System into a Production Planning Formulation for a Wafer Fab, 21st Conference of the International Federation of Operational Research Societies (IFORS), Quebec City, Canada, 2017-07-17.

    Volling, T., Strob, L. (2017): Energy-oriented scheduling of identical parallel machines considering a two-part tariff system, 21st Conference of the International Federation of Operational Research Societies (IFORS), Quebec City, Canada, 2017-07-17.

    Strob, L., Volling, T. (2016): Dezentrale Produktionsplanung in energieflexiblen Fabriken der automobilen Lieferkette, Automotive Workshop, Hagen, 2016-09-23.

    Strob, L., Volling, T. (2016): Coordination mechanisms for decentralised production planning in energy-flexible factories, OR2016 – Annual International Conference of the German Operations Research Society, Hamburg, 2016-09-02.

E/E/S Research Center | 08.04.2024