Professorial Faculty
Technical University of Munich

Prof. Dr. Rainer Kolisch

Professorship

Operations Management

School

TUM School of Management

Contact Details

Business card in TUMonline

Academic Career and Research Areas

Professor Kolisch’s research deals with the analysis and design of service processes using quantitative models and methods.

After earning his undergraduate degree in Economics from TU Darmstadt, Professor Kolisch completed his PhD in 1994 at Kiel University on operations scheduling with scarce resources. In 1991 he acquired his Postdoctoral Teaching Qualification (Habilitation) in Kiel on the topic of production planning in order-based manufacturing. From 1999 to 2002 he taught Business Studies at TU Darmstadt. In 2002 he was appointed professor of Industrial Management at TU Dresden. Dr. Kolisch has been a professor of Operations Management at TUM since 2002.

Awards

  • Best Teaching Award of the School of Management in the category of big lectures between 2002 - 2022.
  • Excellence in Reviewing Award des European Journal of Operational Research (2022)
  • Listed among the 10 most research-intensive professors of Business Administration in Germany, Austria and Switzerland in the Handelsblatt (2005)
  • Habilitation Fellow of the DFG (1996-1998)

Key Publications (all publications)

Brunner J, Bard JF, Kolisch R: “Flexible shift scheduling of physicians”. Health Care Management Science. 2009; 12(3): 285-305.

Abstract

Kolisch R, Hartmann S: “Experimental investigation of heuristics for resource-constrained project scheduling: an update”. European Journal of Operational Research. 2006; 174(1): 23-37.

Abstract

Kolisch R: “Serial and parallel resource-constrained project scheduling methods revisited: theory and computation”. European Journal of Operational Research. 1996; 90: 320-333.

Abstract

Kolisch R, Sprecher A: “PSPLIB - A project scheduling problem library”. European Journal of Operational Research. 1996; 96: 205-216.

Abstract

Kolisch R, Sprecher A, Drexl A: “Characterization and generation of a general class of resource-constrained project scheduling problems”. Management Science. 1995; 41: 1693-1703.

Abstract

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