Module Handbook

  • Dynamischer Default-Fachbereich geändert auf WIW

Course WIW-LOG-SC-K-7

Scheduling (2V+1U, 4.5 LP)

Course Type

SWS Type Course Form CP (Effort) Presence-Time / Self-Study
- K 4.5 CP
2 V Lecture 30 h 60 h
1 U Lecture hall exercise class 15 h 30 h
(2V+1U) 4.5 CP 45 h 90 h


CP, Effort 4.5 CP = 135 h
Position of the semester 1 Sem. in SuSe
Level [7] Master (Advanced)
Language [EN] English
Area of study [WIW-LOG] Logistics
Livecycle-State [NORM] Active


  • Classification and complexity of scheduling problems
  • Exact and heuristic solution procedures
  • Single and Parallel machine problems
  • Flow Shop, Job Shop and Open Shop problems
  • Applications of basic scheduling algorithms in logistics

Competencies / intended learning achievements

Upon successful completion of the module, students will be able to
  • analyze, structure, and formalize complex problems in scheduling,
  • independently identify and apply the right planning methods and tools in concrete decision-making situations,
  • apply the learned methods to new problems,
  • implement simple scheduling algorithms using a standard programming language.


  • Pinedo (2016): Scheduling, Theory, Algorithms, and Systems. Springer, Fifth edition.
  • Jaehn and Pesch (2019): Ablaufplanung, Einführung in Scheduling. Springer Gabler, Second edition.
  • Brucker and Knust (2006): Complex Scheduling. Springer.
  • Weitere Literatur wird in der Veranstaltung bekanntgegeben.


Lecture notes (slides), exercise sheets and additional material provided in Olat.

Requirements for attendance (informal)

Basic knowledge in graph theory and linear and mixed-integer optimization.

Requirements for attendance (formal)


References to Course [WIW-LOG-SC-K-7]

Module Name Context
[WIW-LOG-SC-M-7] Scheduling P: Obligatory 2V+1U, 4.5 LP