2016/2017 KAN-CCMVV2060U Advanced Decision Support and Analysis in the Supply Chain
English Title | |
Advanced Decision Support and Analysis in the Supply Chain |
Course information |
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Language | English |
Course ECTS | 7.5 ECTS |
Type | Elective |
Level | Full Degree Master |
Duration | One Quarter |
Start time of the course | Second Quarter, Autumn |
Timetable | Course schedule will be posted at calendar.cbs.dk |
Study board |
Study Board for MSc in Economics and Business
Administration
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Course coordinator | |
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Teachers: Arisa
Shollo, Aseem Kinra, Ernest Foreman
Kontaktinformation: https://e-campus.dk/studium/kontakt eller Contact information: https://e-campus.dk/studium/kontakt |
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Main academic disciplines | |
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Last updated on 19-02-2016 |
Learning objectives | |||||||||||||||||||||||
To achieve the grade 12, students
should meet the following learning objectives with no or only minor
mistakes or errors: At the end of the course the students should be
able to:
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Examination | |||||||||||||||||||||||
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Course content and structure | |||||||||||||||||||||||
The aim of this course is to develop the students’ understanding of the organizational challenges when making and implementing organizational decisions in a supply chain context, as well as improve their skills in using IT tools to support their decision-making processes in terms of collecting and analyzing data.
To make good decisions fast is becoming ever more important in a world where information is ubiquitous and technologies change at an incredible pace. This class will provide the students with information technology (IT) tools and the conceptual framework to approach these situations with clarity and confidence and improve their decision making skills. Most firms have reached a point where the utilization of IT to support strategic/tactical/ operational decision-making surfaces as more vital than ever. Thus, the course will provide the students with the opportunity to have hands-on experience with cutting-edge software tools and learn how to analyse data and solve supply chain problems. Yet, leveraging benefits from IT systems and tools depends less on possessing and using the technology and more on the ability to best utilize the information in decision-making processes. Therefore, it is important the students understand how decisions happen in organizations and are able to reflect on theories of decision-making and their limitations in practice.
Which supplier should a company select for a specific order? Should a company outsource its operations or not? Should a company launch an aggressive marketing campaign that will require substantial resources with no guarantee of success? Which business model is most suited to support the long-term survival of our supply chain? What information technology will best serve the needs of our customer service department? Managers face many important and far-reaching decision situations in their professional life. Situations where substantial resources need to be committed, where many different stakeholder groups are involved in or affected by the decisions that they make, and where a variety of potential consequences are at stake. Although pure rational models give a simple prescriptive solution to reaching optimal solutions, most decisions to be made in real life, involve humans and their subjective considerations. The aim of this course is to especially bring these considerations out. |
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Teaching methods | |||||||||||||||||||||||
Research and theory based lectures are mixed with exercises and cases. We will also focus the content of exercises and cases on situations where advances in information technology have led to fundamental changes and new opportunities in supply chain management. In addition, we will hear from guest speakers who are actively involved in applying decision-analytic ideas and tools in the business environment. Several learning methods are blended (general talks, formal lectures, case studies, teamwork onto project development, computer lab sessions, and technical visits) in a set of topics that will promote student engagement. | |||||||||||||||||||||||
Student workload | |||||||||||||||||||||||
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Further Information | |||||||||||||||||||||||
This course is a part of the minor in: Supply Chain
Intelligence - An applied perspective
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Expected literature | |||||||||||||||||||||||
Main mandatory course book:
Additional articles:
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