Capacity and Inventory Management

Brief description

  • Concepts about uncertainty and variability
  • Forecasting methods
  • Queuing models
  • Capacity pooling
  • Single-period inventory management models (newsvendor)
  • Multi-period inventory management models (ordering policies)
  • Basics of software-supported analysis methods such as simulation or rapid modelling

Mode of delivery

face to face

Type

compulsory

Recommended or required reading and other learning resources/tools

Kummer/Grün/Jammernegg (2018): Grundzüge der Beschaffung, Produktion und Logistik, 4. Auflage, Pearson.
Thonemann (2010): Operations Management, 2. Auflage, Pearson.
Taguchi/Clausing (1990): Robust Quality, in: Harvard Business Review 68(1), 65-75.
Hauser/Clausing (1988): The House of Quality, in: Harvard Business Review 66(3), 63-73.

Planned learning activities and teaching methods

Lecture, blended learning, group work, assignments, self-study

Assessment methods and criteria

  • Written final exam (70%, open questions, calculations)
  • Continuous assessment (30%): individual and group work, presentations, quizzes, active contribution
  • Content criteria: degree of problem identification and problem characterisation, complexity of solutions in terms of subject and methodological competence.
  • Formal criteria: completeness of answers, linguistic differentiation, and independence of results presentation

Prerequisites and co-requisites

-

Infos

Degree programme

Logistics & Transport Management (Bachelor)

Cycle

Bachelor

ECTS Credits

3.00

Language of instruction

German

Curriculum

Full-Time

Academic year

2023

Semester

3 WS

Incoming

Yes

Learning outcome

After successful completion of the course, students can

  • name and explain the terminology, the modelling and analysis methods of operations management with a focus on process management, quality management, capacity management and inventory management (1,2)
  • analyse problems of operational performance using analytical methods and quantitative models and develop possible solutions (1,2,3)
  • name, explain and recognise uncertainties and risks in processes, evaluate them, reduce them or hedge against them (1,2,3,4,5)

Course code

0391-21-01-VZ-DE-25