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Institute of Information Systems
Instituteof Information
Systems

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Project and Seminar (4 SWS): Advanced Planning in Production and Logistics

Type and Deduction (in German only):

  • Pflichtmodul im Master Wirtschaftsinformatik: Modul WI-MA-P

Requirements
   
No requirements given.

Scope of Deduction
   
12 LP, the project comprises two semesters.

Lecturer
   
Dr. Robert Stahlbock

Course Dates
   
During lecture times: Mo 10:00 am-02:00 pm, WiWi 1068

Registration

In order to participate in this course it is obligatory to register in STiNE during the STiNE registration periods.

Course Evaluation


project thesis

In business administration there are various planning tasks in production and logistics. There are planning tasks that can be divided into a strategic, tactical and operational level within the supply chain matrix. During this project real planning problems taken from business practice and their possible solution methods are investigated. Besides taking a closer scientific-theoretic look at the subjet-matter we will also seek to implement certain methods or to test them with the help of software tools.

In an introdutory part the advanced planning problems are systematically compiled and classified by using the supply chain matrix.

In a second part the students work in several small groups on their designated tasks. Possible topics include:

  • Advanced Planning Systems: tasks and goals
  • Demand Planning and Forecasting
  • Detailed Scheduling
  • Distribution Resource Planning, Warehousing
  • Port Logistics


On request other topics can be definde in consultation with the supervisors, such as

  • Topics from the area of business process analysis and BPM
  • Development of a conference tool (define the processes and implementation as a web application)

While working on the topics different practical approachs are possible. Students may implement the approaches in a self-made software or with the help of simulation software. There is also an option to solve different planning problems by using modeling and optimization software or statistics programs.

Literature recommendations will be given during the project and topic-specific.