040215 KU Supply Chain Management (MA) (2023W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften

Prüfungsimmanente Lehrveranstaltung

VOR-ORT

The course language is English.

Only students who signed up for the class in univis/u:space are allowed to take the class (that means, that you have to at least be on the waiting list if you want to take this class). No exceptions possible.

Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Anmeldung von Mo 11.09.2023 09:00 bis Fr 22.09.2023 12:00
Anmeldung von Di 26.09.2023 09:00 bis Mi 27.09.2023 12:00
Abmeldung bis Fr 20.10.2023 23:59

Details

max. 60 Teilnehmer*innen

Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

    
    Montag
    02.10.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    03.10.
    08:00 - 09:30
    PC-Seminarraum 1  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Dienstag
    03.10.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
PC-Seminarraum 1  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Montag
    09.10.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    10.10.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    16.10.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    17.10.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    23.10.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    24.10.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    30.10.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    31.10.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    06.11.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    07.11.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    13.11.
    08:00 - 09:30
    PC-Seminarraum 2  Oskar-Morgenstern-Platz 1  1.Untergeschoß
PC-Seminarraum 3  Oskar-Morgenstern-Platz 1  1.Untergeschoß
PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Montag
    13.11.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
PC-Seminarraum 2  Oskar-Morgenstern-Platz 1  1.Untergeschoß
PC-Seminarraum 3  Oskar-Morgenstern-Platz 1  1.Untergeschoß
PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Montag
    13.11.
    11:30 - 13:00
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Dienstag
    14.11.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    20.11.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
Seminarraum 15  Oskar-Morgenstern-Platz 1  3.Stock
    
    Dienstag
    21.11.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    27.11.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    28.11.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    04.12.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    05.12.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    11.12.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    12.12.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    08.01.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    09.01.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    15.01.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    16.01.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock
    
    Montag
    22.01.
    09:45 - 11:15
    Hörsaal 6  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    23.01.
    08:00 - 09:30
    PC-Seminarraum 3  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Dienstag
    23.01.
    09:45 - 11:15
    PC-Seminarraum 3  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Montag
    29.01.
    09:45 - 11:15
    Hörsaal 8  Oskar-Morgenstern-Platz 1  1.Stock
    
    Dienstag
    30.01.
    09:45 - 11:15
    Hörsaal 17  Oskar-Morgenstern-Platz 1  2.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Supply Chain Management (SCM) is the efficient management of the set of often autonomous parties involved in the design of new products and services, procuring raw materials, transforming them into semi-finished and finished products, and delivery to the end customer. This course is the base module for the Supply Chain Management major and is recommended to be taken prior to other modules of the major. Prior to attending this class on supply chain management, especially if you are not used to applying quantitative solution methods, it is highly recommended to attend the lecture "Management II - Production, Logistics and Supply Chain Management (MA)".

Art der Leistungskontrolle und erlaubte Hilfsmittel

A total of 100% can be obtained by:
- homework assignments: 20%; continuously throughout the semester; presentations of examples in class
- a written midterm exam in presence, on site (Oskar-Morgenstern-Platz 1): 30% (Excel Solver based), 13.11.2023 (9.15-11.15, PC labs)
- Final exam (in presence and oral examination)
presence, on site (OMP 1): 30%, on 22.01.2024 (9.45-11.15)
- Projects/Seminar Presentation: 20% - Deadline (end of day), Presentations will be held at the end of the semester, the exact teams and time slots will be determined.
The Beer Game (for which additional points can be obtained) will take place at the start and end of the semester.

At least 50% have to be obtained for a positive grade. The other grades are distributed as follows:
4: 50% to <63%
3: 63% to <75%
2: 75% to <88%
1: 88% to 100%

Cheating during an examination will be sanctioned according to the university's constitution in its current form (i.e., the entire course will not be graded but marked as cheated and counted as one attempt).

Mindestanforderungen und Beurteilungsmaßstab

The objective is to get an overview of the basic problems, concepts and technologies of supply chain management. Especially, students will learn about quantitative decision support techniques to make decisions in centralized and decentralized value chains. Especially, the coordination of suppliers and manufacturers with the respective information and incentive alignment problems will be discussed and illustrated by experiments.
A maximum of 2 sessions may be missed. To obtain full points for the homework, students must be present in the session in which the homework is presented.

Prüfungsstoff

The course consists of a sequence of lectures, exercise classes and case studies. Further, the participants will learn how to model and analyse supply chain design and control problems using quantitative methods. The topics cover distribution networks, decision tree analysis, real options, forecasting, inventory management, newsvendor problems, contracts, pooling, and economies of scale. Basic concepts will be illustrated using Excel-sheets (basic knowledge of the Excel Solver is required).

Literatur

- Chopra, S., Meindl, P. (2010), Supply Chain Management, 5th edition, Prentice Hall
- Cachon, G., Terwiesch, C. (2009), Matching Supply with Demand, 3rd edition, McGraw-Hill
- Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E. (2008), Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, 3rd edition, McGraw-Hill
- Dixit, A. K. and Pindyck, R. S., Investment under Uncertainty, Princeton University Press, 1994

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 22.01.2024 17:25