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The course aims at giving the students a solid
understanding of mathematical modeling approaches,
analytical tools and techniques that are useful in the
design and planning of logistics and transportation
systems. The topics include logistics network design,
facility location and allocation, long- and short-haul
transportation, vehicle routing and scheduling problems
as well as issues related to sustainable mobility. We will
discuss the theory, application methods, and techniques
that are needed to successfully model, analyze, and solve
these problems. We will develop and employ both exact
and approximate methods to solve problems arising in
logistics and transportation systems, and implement
computerized applications. The course is designed for
graduate students who have a solid background in
mathematical programming and are proficient in coding.
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