GRA 6753 Operations 1
GRA 6753 Operations 1
Logistics and operations management requires a good knowledge of methods and concept for optimising cost and service levels. Through the methods, also an understanding in operational decisions and their impact will be given.
Students participating in this course will gain an understanding of the management of logistics operations. Emphasis will be on various methods for optimising supply chains, and how they can be implemented in the real world.
A good understanding of logistics operations and outcomes.
The student should be able:
- To understand process capacities and evaluation of those
- To understand how to best utilise bottlenecks in processes
- To gain knowledge of forecasting
- To gain knowledge of cycle stock management
- To understand safety stock management and optimisation of service levels
- To get some understanding of basic issues in pricing and revenue management
- To understand aggregate planning of operations
- Optimisation techniques
- The students should be able to understand and use logistics models
- The students should be able to discuss logistics management with other specialists
- Skills for process management, including botttleneck analysis
- Skills for advanced inventory management, aggregate planning, forecasting, revenue management
- Problem solving skills with excel
The student should be able:
- To understand the role of systems support in Supply Chain Management
- To appreciate and understand possibilities and limitations of optimisation models
- To better understand the day to day challenges of logistics management
- To better understand the use of models in business analysis, in particular with regard to operational decisions
- To be able to reflect on the limitations of models used in the course
- Introduction to models and concepts in logistics operations
- Understanding the supply process and capacity evaluation process
- Estimating and reducing labour cost:
- A process perspective
- Batching and flow interruptions:
- Optimising the flow through a supply chain:
- Forecasting
- Requirements of forecasting
- Static forcasting
- Adaptive forecasting
- Cycle stock
- Inventory management with multiple products.
- Discount schemes
- Joint optimisation for supplier and customer
- Safety stock
- Optimal service levels
- Aggregate planning
- Pricing and revenue management
Students are expected to actively participate through discussions and excercises. There will be optional evalutions of test assignements.
Use of Excel Solver for problem solving.
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.
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 specific prerequisites and will assume that students have followed normal study progression. For double degree and exchange students, please note that equivalent courses are accepted.
Covid-19
Due to the Covid-19 pandemic, there may be deviations in teaching and learning activities as well as exams, compared with what is described in this course description.
| Assessments |
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Exam category: Submission Form of assessment: Written submission Invigilation Weight: 100 Grouping: Individual Support materials:
Duration: 5 Hour(s) Comment: Written examination under supervision Exam code: GRA67531 Grading scale: ECTS Resit: Examination when next scheduled course |
A course of 1 ECTS credit corresponds to a workload of 26-30 hours. Therefore a course of 6 ECTS credits corresponds to a workload of at least 160 hours.