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Advanced Methods of Production Management - PSiP

Lupe

Content:

The module provides a fundamental and comprehensive understanding of the management for industrial production processes. After successful completion, students should have the ability to grasp operative planning and control tasks in various application contexts and to model, analyse and solve them using the qualitative and quantitative methods learned. They will know the possibilities and limitations of the methods and will be able to apply them to new problems using current research.

The course gives an overview of the central problems of operative production planning and control and shows how these can be solved by computer-aided forecasting and optimization models. The first part deals with concepts and methods of hierarchical planning, which are used in advanced planning systems. Building on this, the second part deals with specific planning approaches for the management of cyber-physical and lean production systems. Case studies from different industries are used to deepen and practice the contents.    

The Event is divided into three parts.

1. The first part deals with concepts and methods of hierarchical planning as they are used in today's advanced planning Systems.

2. Building on this, the second part deals with specific planning approaches for the management of cyber-physical production systems in the context of Industry 4.0.

3. In the third part, different approaches to the management of lean production systems are discussed.

On the basis of case studies from different industries the contents are deepened and practiced practically.

 

 That's what others liked most:

  •   learning success
  •   practical relevance
  •   comprehensibility
  •   software application

 

 

Module
ECTS / SWS
6 / 4
cycle
summer term
language
German
exam registration
via QISPOS, latest 1 week before exam date
exam
oral
Integrated course (lecture and exercise)
day and time
monday,
02:15 pm - 03:45 pm
thursday,
02:15 pm - 03:45 pm
room
FH 301
FH 301
lecturer
Prof. Dr. Thomas Volling and
Kristian Bänsch, M.Sc.
period
8.4.2019 - 11.7.2019

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