040893 KU Supply Chain Management (MA) (2022S)
Prüfungsimmanente Lehrveranstaltung
Labels
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.
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 07.02.2022 09:00 bis Mo 21.02.2022 23:59
- Anmeldung von Do 24.02.2022 09:00 bis Fr 25.02.2022 23:59
- Abmeldung bis Mo 14.03.2022 23:59
Details
max. 50 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
Montag
07.03.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
07.03.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
14.03.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
14.03.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
21.03.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
21.03.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
28.03.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
28.03.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
04.04.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
04.04.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
04.04.
18:30 - 20:00
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag
25.04.
09:45 - 11:15
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
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
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
25.04.
11:30 - 13:00
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
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
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
02.05.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
02.05.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
09.05.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
09.05.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
16.05.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
16.05.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
23.05.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
23.05.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
30.05.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
30.05.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
13.06.
09:45 - 11:15
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
13.06.
11:30 - 13:00
Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
20.06.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
20.06.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Montag
20.06.
13:15 - 14:45
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Montag
27.06.
09:45 - 11:15
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag
27.06.
11:30 - 13:00
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.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; exercises to be prepared for the sessions; presentations of examples
- a written midterm exam: 30% Excel-based on 25.04.2022 (PC Labs)
- a final exam (50%) which consists of 2 parts:
* Endterm exam 30%, 13.06.2022
* Case study presentations 20%, end of June (The exact dates and time slots will be determined individually)
The Beer Game will take place on June 20th.
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).
- homework assignments: 20%; continuously throughout the semester; exercises to be prepared for the sessions; presentations of examples
- a written midterm exam: 30% Excel-based on 25.04.2022 (PC Labs)
- a final exam (50%) which consists of 2 parts:
* Endterm exam 30%, 13.06.2022
* Case study presentations 20%, end of June (The exact dates and time slots will be determined individually)
The Beer Game will take place on June 20th.
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.
A maximum of 2 sessions may be missed.
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
- 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 16.05.2022 10:28