Postgraduate Course: Logistics (MATH11096)
Course Outline
School | School of Mathematics |
College | College of Science and Engineering |
Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
SCQF Credits | 5 |
ECTS Credits | 2.5 |
Summary | Why it is important to include uncertainty in strategic and tactical planning models. Facility location models - deterministic and stochastic. Network design models - deterministic and stochastic. Some basic facility layout models with a focus on stochastic models. A discussion about how scenarios can be generated for these models. |
Course description |
Not entered
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Entry Requirements (not applicable to Visiting Students)
Pre-requisites |
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Co-requisites | |
Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
Not being delivered |
Learning Outcomes
The ability to formulate algebraically and solve using professional software basic optimization models from logistics. The ability to introduce simple stochastic elements to these models and understand in what ways uncertainty affects the models.
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Additional Information
Graduate Attributes and Skills |
Not entered |
Keywords | LOG |
Contacts
Course organiser | Dr Julian Hall
Tel: (0131 6)50 5075
Email: J.A.J.Hall@ed.ac.uk |
Course secretary | Mrs Frances Reid
Tel: (0131 6)50 4883
Email: f.c.reid@ed.ac.uk |
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