[ 926LOMAENTS14 ] SE Decision Support in Production, Logistics and Supply Chain Management

Es ist eine neuere Version 2023W dieser LV im Curriculum Master's programme Economic and Business Analytics 2023W vorhanden.
(*) Unfortunately this information is not available in english.
Workload Education level Study areas Responsible person Hours per week Coordinating university
3 ECTS M1 - Master's programme 1. year Business Administration Gabriele Traugott 2 hpw Johannes Kepler University Linz
Detailed information
Pre-requisites (*)KS Produktion ODER KS Logistik und Supply Chain Management
Original study plan Master's programme Business Informatics 2016W
Objectives Students have competent knowledge of current scientific literature in selected topics of the subject "Production and Logistics". They can summarize and present scientific literature within a teamwork procedure. They have basic knowledge of selected software systems, modeling language and solution techniques for decision support in production, logistics and supply chain management. They are able to deal with planning situations using appropriate software tools and interpret the results.
Subject After an introduction in scientific writing (proper citing, sources of literature, plagiarism) and in basics of presentation, students work (partially in small teams) to prepare a specific topic in the field of produduction oder logistics management or supply chain management. On this basis, completed by current articles in scientific journals, students write a seminar paper and hold a presentation.
Criteria for evaluation seminar paper and presentation
Methods seminar paper and presentation, discussion
Language German
Study material Adequate literature is announced every semester.
Changing subject? No
Corresponding lecture (*)2PLMSCMN: SE Entscheidungsunterst├╝tzung in Produktion, Logistik und Supply Chain Management (3 ECTS)
Earlier variants They also cover the requirements of the curriculum (from - to)
2PLMSCMN: SE Decision Support in Production, Logistics and Supply Chain Management (2011W-2014S)
On-site course
Maximum number of participants 25
Assignment procedure Assignment according to priority