Course content

• Introduction to optimization theory - linear models with a focus on transport planning
• Introduction to spreadsheet modeling (Excel)
• Traditional route planning problems (TSP and VRP) with different model formulations (Arc-flow and path-flow) and solution methods for these
• Network models for use in optimization
• Optimization and freight transport - distribution routes, transport network
• Public transport route planning
• Route planning in air transport

Learning outcome

It is expected that when the student completes this course, they should have:

Knowledge:

• Basic understanding of optimization theory, with a focus on transport planning and distribution
• understanding of basic models for route planning that are relevant for transport companies, with associated solution methods
• theoretical understanding of tools and techniques for evaluating routes and distribution logistics

Skills:

• Be able to present and evaluate production and distribution plans for a company based on linear optimization theory and models in Excel
• be able to make decisions based on theory and understanding of existing infrastructure
• be able to use relevant tools and models within transport as a basis for decisions
• be able to analyze the organization’s needs for transport services

General competence:

be able to develop a broad understanding of route planning practice and be able to design transport plans that ensure business value in relation to time, customer service and good (optimal) resource utilization.

Learning methods and activities

Lectures, Group work and mandatory assignments

Compulsory assignments

• Compulsory assignment 1
• Compulsory assignment 2

Specific conditions

Recommended previous knowledge

REA1153 Mathematics for Economists

REA1154 Statistics for Economists

Basic Excel skills are an advantage, but not an absolute requirement.

Credit reductions