2012/2013
KAN-SCM_SE61 Decision Making in Supply Chain Management
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English Title
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Decision Making in Supply Chain Management
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Language
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English
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Exam ECTS
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7.5
ECTS
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Type
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Mandatory
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Level
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Full Degree Master
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Duration
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One Semester
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Course period
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Autumn
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Time Table
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Please see course schedule at e-Campus
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Study board
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Study Board for MSc in Economics and Business Administration
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Course coordinator
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Günter Prockl
- Department of Operations Management
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Main Category of the Course
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Supply Chain Management and Logistics
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Last updated on 09-07-2012
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Learning objectives
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The aim of the course is to develop students’ competences towards basic approaches, methods and instrument that support key decisions in the configuration, planning and mobilization of supply chains.
Upon completion of the course students must be able to:
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Identify typical problem symptoms in operations and supply chain management and relate the symptoms to standard problems in the field;
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Identify and describe the relevant decision elements that relate to the specific nature of the single problem and the related approaches for supporting decisions on potential solutions;
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Identify the appropriate methods and instruments to support solution development for the decision problem;
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Apply basic models and terminology for developing principal solutions and to evaluate and discuss the developed solutions in a broader context of supply chain thinking;
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Understand constraints of the solutions and show know how to discuss the respective limitations in the broader context of supply chain management thinking.
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Examination
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Decision Making in Supply Chain Management :
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Type of test
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Home Assignment
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Marking scale
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7-step scale
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Second examiner
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No second examiner
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Exam period
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Winter Term
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Aids
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Please, see the detailed regulations below
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Duration
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Please, see the detailed regulations below
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A 24-hour case based written home assignment. Max. 10 pages.
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Course content
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The course introduces into important decision problems that are related with the configuration, planning and the mobilization of modern supply chains.
Its basic intention is to reflect the specific nature of the problem settings in this context and to provide the students with a sound overview on the standard problems, to introduce the related repertoire of standard methods and instruments supporting those important decisions, and to develop the capapbility to match specific decision problems with appropriate approaches for their solution. Beyond that it is also introducing into more specific examples and approaches for planning and decision support and thus introduces into the complexity that is involved in configuration and planning decisions within a supply chain management environment.
Finally it also briefly addresses specific challenges related to the implementation that go beyond the pure methodological issues of the tools and touches upon topics such as overcoming human resistance or implementing the instruments into planning software.
In total the course provide students with capabilities to identify the nature of key decision problems, the applicability of supporting instruments and potential limitations in the context of supply chain management.
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Teaching methods
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Teaching is based on lectures and in class discussions that deliver the basic knowledge on problems and the context of supply chain management. In class lectures and discussions are supported with case studies and real life examples for better illustration of the problem settings. When appropriate guest lecturers may be involved for better illustrating the problem detail and the specific context of real life environments. Additionally In class assignments are applied for deepening the students understanding of the fundamental approaches and the development of thoughts and arguments in a comprehensive way.
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Expected literature
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Chopra, S., Meindl, P. (2007). Supply chain management: strategy, planning and operation. 3rd edition, Upper Saddle River, N.J., Pearson Prentice Hall, ISBN: 0-13-173042-8
A list with supplementary literature (journal articles) will be provided closer to the course start.
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Last updated on 09-07-2012
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