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Chair of Operations Management
Prof. Dr. Grit Walther

Advanced Planning in Production and Logistics - Application and Implementation

Content

Constantly growing customer requirements, such as the need for short delivery times with high quality and consideration of individual customer wishes despite mass production, present manufacturing companies with planning problems that are becoming more and more complex. In order to meet these demands and still generate optimum added value, companies must continuously improve their internal processes and procedures. The high complexity of and dependencies between individual planning processes in a company pose major challenges. To overcome these challenges, advanced planning and scheduling systems (APSs) are increasingly being used to control company processes. A well-known example is the Advanced Planning and Optimisation module from SAP, which forms an integral part of the market-leading software suite mySAP Supply Chain Management.

Educational objectives

The aim of the current topic "Advanced Planning in Production and Logistics - Case Studies" is therefore to show the students the practical application possibilities of their theoretically founded knowledge by means of practical planning problems. Building on the current topic "Advanced Planning in Production and Logistics - Concepts and Models", the students are enabled in the second part of the semester to implement the theory taught in practical planning problems. One focus is on the analysis of different APSs, as well as practical topics from the field of advanced planning.

Organisatorial information

Registration here.

Audience: MSc BWL, MSc WIBau, MSc WIEET, MSc WIWPT, MSc WIMB, MSc Wiwi, MSc Mathematics

Max. number of participants: 30
Language of instruction: German
Requirements: Operations Research I and/or Quantitative Methods

Important information

The seminar will take place in the form of a block course on selected dates (see below).

The students will be divided into working groups at the beginning of the seminar. Each working group will prepare self-selected or assigned practical topics/case studies from the field of advanced planning. The focus of the preparation is on the applied methodology within the topics and the comprehensible explanation using self-selected examples. The results will be presented in the form of short presentations in order to didactically discuss a variety of different practice-oriented topics for each participant of the seminar. In addition, a "computer lab" (online) will be offered at the beginning of the seminar. The aim is to explain to the participants of the seminar the necessary knowledge for the implementation and analysis of APS's by means of short case studies.

Since regular participation in the plenary and group sessions is required, please check before registering whether you can participate in the dates listed below under the conditions stated.

Supervision will be provided by Prof. Dr. Walther, Dr. Tristan Becker, Simon Thomä and Vladimir Stadnichuk.

Due to the Corona pandemic, this module is planned as an online module.

Before registering, please check whether you can participate in the dates listed below. Please also note the absence policy specific to this module.

Date

Info

17.05.2021

Kick-Off

24.05.2021

Tutorial „Hierarchical Planning with Python/Gurobi“

Flexible

Group Works on the Case Studies

15.6.2021

Interim Presentation*

6.07.2021

Final Colloquium*

12.07.2021

Submission of Short Summaries*

* Partial Examination Performance

Absence Policy

Attendance is compulsory. The tolerated absence time is a maximum of 20 % of the total attendance time and also includes additional, individually agreed group appointments. Group appointments are to be attended jointly by all group participants and usually take place as attendance appointments. Please note that absences excused by medical certificate are included. Substitute performance is not envisaged, as the achievement of the learning objective depends in particular on interaction with the lecturers and fellow students.

Contact person

Dr. Tristan Becker