GRA 6754 Operations 2
In this course, students will learn key models, methods and strategies for logistics and supply chain operations management and how to apply them. This course is built upon the course operations 1 where students have learned about basics of optimization in supply chain and logistics planning, demand forecasting, inventory planning, production planning, pricing and capacity planning. Operations 2 extends students’ modelling skills and discusses models and strategies for supply chain network design, facility location, scheduling, project management. In addition, they will learn about decision trees, dynamic programming risk pooling, simulation and queuing models to cope with uncertainty and variability in supply chain and operations planning.
- Understand the basic trade-offs in supply network design and supply chain planning.
- Understand how the use of LP and MIP models can reduce sub-optimization in such systems.
- Understand how service time variability can affect a process.
- Understand how risk pooling strategies can help to reduce risk.
- Understand the effects of sequencing of tasks on performance
- Be able to formulate, use and solve the most basic LP and MIP based models for supply network design and supply chain planning using Excel's standard solver.
- Be able to analyse and compare different alternatives in supply network design and supply chain planning.
- Be able to measure variability of a process and analyse an arrival process.
- 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 use different models and methods in scheduling of tasks and activities.
- To make customized optimization models for supply chain network design and capacity/demand allocation
- To compare different supply chain solutions through multiple periods taking into account the time value of money and different possibilities in uncertain conditions
- To find suitable risk pooling solutions to cope with uncertainty and risk in supply chains
- To evaluate performance measures in queuing systems
- To find optimal or good enough sequence and time table of tasks in operational planning
- To model and analyse projects by finding critical paths, calculating slack times and other network analyses
- Supply Chain Network Design
- Supply Chain Planning
- Linear Programming and Mixed Integer Programming Models
- Variability and its Impact on Process Performance
- Waiting lines
- Risk Pooling Strategies
- Scheduling and sequencing
Excel will be used in the course as the main computation and optimization tool. Therefore students must have a basic knowledge of Excel.
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.
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.
GRA 6753 Operations 1 or equivalent
Basic knowledge of Microsoft Excel and Excel Solver.
|Exam category||Weight||Invigilation||Duration||Support materials||Grouping||Comment exam|
Form of assessment:
Internal and external examiner
Examination when next scheduled course
|100||Yes||5 Hour(s)||Individual||Written examination under supervision|
|Form of assessment:||Written submission|
|Support materials:|| |
|Comment:||Written examination under supervision|
|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.