APPLIES TO ACADEMIC YEAR 2015/2016
GRA 6754 Operations 2
Responsible for the course
Stein Erik Grønland
Department of Accounting - Auditing and Business Analytics
According to study plan
Language of instruction
In this course, the students will learn key models and strategies for operations management and how to apply these.
Understand the interaction between batching and inventory.
Understand how various strategies can be used to better coordinate supply chains.
Understand how service time variability can impact a process.
Understand the basic trade offs in supply network design and supply chain planning.
Understand how the use of LP and MIP models can reduce suboptimisation in such systems.
Be able to estimate the impact of setups on capacity and calculate a theoretically optimal batch size in presence of setup times.
Be able to measure variability of a process and analyse an arrival prosess.
Be able to predict average waiting times for simple cases.
Be able to estimate throughput loss for a queue with one single resource.
Be able to estimate the effects of using risk pooling strategies.
Be able to construct and the most basic LP and MIP based models for supply network design and supply chain planning using a standard solver.
Be able to perform capacity analyses using models for supply network design and supply chain planning.
GRA 6753 Operations 1 or equivalent
All courses in the Masters programme will assume that students have fulfilled the admission requirements for the programme. In addition, courses in second, third and/or fourth semester can have spesific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Cachon, Gérard, Christian Terwiesch. 2012. Matching supply with demand : an introduction to operations management. 3rd ed. McGraw-Hill
Chopra, Sunil, Peter Meindl. 2013. Supply chain management : strategy, planning, and operation. 6th ed. Pearson
During the course there may be hand-outs and other material on additional topics relevant for the course and the examination.
Shapiro, Jeremy F. 2007. Modeling the supply chain. 2nd ed. Thomson
Variability and its Impact on Process Performance
The Impact of Variability on Process Performance
Risk Pooling Strategies
Revenue Management with Capacity Controls
Supply Chain Coordination
Mixed Integer Programming
Supply Network Design
Supply Chain Planning
Learning process and workload
A course of 6 ECTS credits corresponds to a workload of 160-180 hours.
There will be optional evalutions of test assignements.
Please note that while attendance is not compulsory in all courses, it is the student’s own responsibility to obtain any information provided in class that is not included on the course homepage/It's learning or text book.
A 5 hour written exam (individual) accounting for 100% of the final grade.
|Form of assessment||Weight||Group size|
|Written examination 5 hours||100%||Individual|
Specific information regarding student assessment will be provided in class. This information may be relevant to requirements for term papers or other hand-ins, and/or where class participation can be one of several components of the overall assessment.
GRA 67541 written exam accounts for 100% of the final grade in GRA 6754.
Examination support materials
All support materials are allowed
Permitted examination support materials for written examinations are detailed under examination information in the student portal @bi. The section on support materials and the use of calculators and dictionaries should be paid special attention to.
It is only possible to retake an examination when the course is next taught. The assessment in some courses is based on more than one exam code. Where this is the case, you may retake only the assessed components of one of these exam codes. All retaken examinations will incur an additional fee. Please note that you need to retake the latest version of the course with updated course literature and assessment. Please make sure that you have familiarised yourself with the latest course description.
Academic honesty and trust are important to all of us as individuals, and represent values that are encouraged and promoted by the honor code system. This is a most significant university tradition. Students are responsible for familiarizing themselves with the ideals of the honor code system, to which the faculty are also deeply committed.
Any violation of the honor code will be dealt with in accordance with BI’s procedures for cheating. These issues are a serious matter to everyone associated with the programs at BI and are at the heart of the honor code and academic integrity. If you have any questions about your responsibilities under the honor code, please ask.