LOG904-114 Game Theory Applied in Logistics (Autumn 2021)

ECTS Credits:: 2.5
Responsible faculty:: Avdeling for logistikk
Campus:: Molde
Course Leader:: Arild Hoff
Teaching language:: English
Study level:: {code=HN, name=Second degree level}
Duration:: 1 week

Schedule (TP) Reading list (Leganto)

This course will provide understanding of the main concepts of Game Theory and its applications in logistics research. The lectures will combine theoretical concepts with real market applications, such as the use of coalitional game theory to find fair cost allocation within a supply chain. A considerable attention will be paid to the newest research directions in the area of logistics (e.g. routing games). Depending on the distribution of interests in the group, the focus may be placed either on the non-technical analysis of interactions of the market participants or on the numerical equilibrium modelling.

Topics covered: normal-form games, extensive-form games, main solution concepts (Nash equilibrium, Pareto optimality, etc.), routing games, coalitional games, basic elements of mechanism design and auction theory. Overview of applications of game-theoretic concepts in logistics and supply chain management.

The course is connected to the following study programs

Recommended knowledge

No specific math is required, but some familiarity with basic probability theory and calculus is an advantage. Participation in SØK710 Industrial Organization can be a benefit, but not a prerequisite.

The student's learning outcomes after passing the exam

The students will be able to understand and analyse the game-theoretic approaches used in the contemporary logistics research; and use and apply game theory to modelling and analysis of interactions between parties in real markets and supply chains.

Forms of teaching and learning

the seminar will consist of three hours lecturing every day, with in-class problem solving and discussions. The home assignments will include exercises, based on the material covered in the lectures, and analysis of research papers.

Exam

Form of assessment: Home assessment without presentation

Proportion: 40%
Duration: -
Grouping:Individual
Grading scale: Letter (A - F)
Comment: Deadline for submission: Wednesday