htw saar QR-encoded URL
Back to Main Page Choose Module Version:
emphasize objectives XML-Code


Process Management

Module name (EN):
Name of module in study programme. It should be precise and clear.
Process Management
Degree programme:
Study Programme with validity of corresponding study regulations containing this module.
Industrial Engineering, Bachelor, ASPO 01.10.2013
Module code: WIBASc-525-625-FÜ1
The exam administration creates a SAP-Submodule-No for every exam type in every module. The SAP-Submodule-No is equal for the same module in different study programs.
Hours per semester week / Teaching method:
The count of hours per week is a combination of lecture (V for German Vorlesung), exercise (U for Übung), practice (P) oder project (PA). For example a course of the form 2V+2U has 2 hours of lecture and 2 hours of exercise per week.
1V+1U (2 hours per week)
ECTS credits:
European Credit Transfer System. Points for successful completion of a course. Each ECTS point represents a workload of 30 hours.
Semester: 5
Mandatory course: no
Language of instruction:
Paper with presentation or written exam

[updated 13.09.2018]
Applicability / Curricular relevance:
All study programs (with year of the version of study regulations) containing the course.

WIBASc-525-625-FÜ1 (P450-0083) Industrial Engineering, Bachelor, ASPO 01.10.2013 , semester 5, optional course
Workload of student for successfully completing the course. Each ECTS credit represents 30 working hours. These are the combined effort of face-to-face time, post-processing the subject of the lecture, exercises and preparation for the exam.

The total workload is distributed on the semester (01.04.-30.09. during the summer term, 01.10.-31.03. during the winter term).
30 class hours (= 22.5 clock hours) over a 15-week period.
The total student study time is 90 hours (equivalent to 3 ECTS credits).
There are therefore 67.5 hours available for class preparation and follow-up work and exam preparation.
Recommended prerequisites (modules):
Recommended as prerequisite for:
Module coordinator:
Prof. Dr. Michael Krämer

[updated 06.01.2020]
Learning outcomes:
After successfully completing this module students will:
_        know the different processes and how to categorize them.
_        know the methods for process description and the different methods for process improvement.
_        have learned the basics of statistical process control
_        and will be able to apply these to examples in a model factory.

[updated 13.09.2018]
Module content:
1.        Structuring processes
2.        Technical processes
3.        Production planning and production control process
4.        Statistical process control
5.        FMEA
6.        Process introduction and optimization

[updated 13.09.2018]
Teaching methods/Media:
Regularly revised lecture notes will be passed out.

[updated 13.09.2018]
Recommended or required reading:
_        Füermann, T./Dammasch, C.: Prozessmanagement, 3. Auflage, Carl Hanser Verlag, 2008
_        Franz, S./Scholz, R.: Prozessmanagement leicht gemacht, Hanser Fachbuch, 1996
_        Helfrich, C.: Praktisches Prozessmanagement, 2. Auflage, Hanser Fachbuch, 2002
_        Becker, J./Kugler, M./Rosemann, M: Prozessmanagement, 6. Auflage, Springer, 2008

[updated 13.09.2018]
[Thu Jun 13 08:55:32 CEST 2024, CKEY=wwxpc, BKEY=wi2, CID=WIBASc-525-625-FÜ1, LANGUAGE=en, DATE=13.06.2024]