Master Thesis Topics

The main members of the group supervises master theses in Logistics, primarily for the Operation Management specialization.

Open Topics

There are three ways to get a master thesis project within this group. The first is if you have contact with a company that provides a suitable case. If so, please contact the group to see if something can be worked out. The second is if you want to do some work along the line of some of the other work done in the group. Have a look at the list of previous master theses supervised by the group below to find examples. The third option is to find an interesting topic in the list provided below.

Title Description

Heuristics for Binary Integer Programming Problems Several logistical challenges can be modelled as pure binary integer programming (BIP) problems. Examples include facility location problems, cutting stock problems, facility location problems, and airline crew scheduling, in addition to many other planning problems. The resulting problems are hard to solve, and heuristic solution methods are often developed for the particular problem class at hand. Few attempts have been made to create heuristic solvers for the general BIP. This topic is suitable for a group of students with good programming skills and a willingness to learn more about heuristic solution methods.

Contact: Professor Lars Magnus Hvattum

Speed optimization in maritime inventory routing The inventory routing problem (IRP) arises when a company is responsible for the transporting of goods from a production site to consumption sites, as well as maintaining proper inventory levels throughout the supply chain. Speed optimization is a hot topic in the context of maritime transportation, where the idea is that adjusting the speed of vessels on different sailing legs can result in reduced fuel consumption and therefore less cost. A recent Masters thesis here in Molde has shown that it makes sense to consider the fuel consumption as a function of both the speed and the load of the vessel. This makes the problem hard to solve. We may therefore want both to find better ways of approximating the non-linearity introduced by the fuel consumption function, to solve the problem to optimality, and to develop good heuristic solution methods that can solve larger instances of maritime IRPs.

Contact: Professor Lars Magnus Hvattum

Dynamic inventory routing problems with profit maximization The inventory routing problem (IRP) arises when a company is responsible for the transport of goods from a production site to consumption sites, as well as maintaining proper inventory levels throughout the supply chain. Many versions of IRPs have been studied in the literature, but several challenges remain, including the modelling of additional real-world aspect. Recently, some models for the static IRP were proposed where the company could adjust the prices of the product and the production rate, to facilitate the maximization of the overall profitability. In this work, we would like to study the problem from the perspective of a dynamic problem: when making decisions, only the decisions for the next time period will be implemented without changes. Simulation can be used to derive the actual profits from using different types of mathematical models to determine decisions to implement. This topic is suitable for a group of students with a keen interest in advanced mathematical modelling and simulation. Programming skills are highly advantageous.

Contact: Professor Lars Magnus Hvattum

Data mining with metaheuristics When analyzing the efficiency of betting markets, there are two common types of tests performed: 1) weak-form efficiency is tested by looking for arbitrage opportunities, or by testing for simple rules based on historical prices, such as checking whether there is a favorite-longshot bias. 2) semi-strong form efficiency is typically tested by creating a prediction model and comparing the outputs of the prediction model with market odds (either directly through statistical loss functions, or indirectly through simulated betting). Prediction models based on regression models tend to use maximum likelihood estimation when determining the values of the regression coefficients. This has not been successful in terms of identifying market inefficiencies. This project proposes to look for semi-strong market inefficiencies using heuristic search to build a model (similar to typical regression models) to maximize return on simulated bets rather than by minimizing the information loss (which is implied by using maximum likelihood estimation). The hypothesis is that there are certain kinds of inefficiencies that may be detected using this approach that would not be detected when relying on maximum likelihood estimation.

Contact: Professor Lars Magnus Hvattum

Determinants of demand for live attendance of Norwegian soccer matches Being able to forecast the demand for live attendance of sports has many advantages, such as being able to adjust prices to attract a sufficiently large crowd, to find the correct compensation for events that have live coverage from TV, or to optimize revenues from live attendance when scheduling the sports events. Here, the goal is to obtain a model to analyze determinants of demand for live attendance based on historical data from Tippeligaen. The topic is suitable for a group of students interested in econometric models and demand forecasting. Skills in statistics (LOG708 or similar) are required, and skills in programming are beneficial (to handle large quantities of data).

Contact: Professor Lars Magnus Hvattum

Ongoing Master Theses

Topic Students Supervisor
Coordinating the transportation of bricklayers to building sites Ahmed Abdulkadir Lars Magnus Hvattum
Development of scalable heuristics solution for offshore windfarm energy plant maintenance scheduling problem Leonid Grebenshchikov Lars Magnus Hvattum

Past Master Theses

Year Title Students Supervisor
2017 Addressing replenishment policies at Ringnes from a conceptual point of view Arne Fredrik Kiste Arild Hoff
2017 Speed optimization in maritime inventory routing Natalia Evsikova Lars Magnus Hvattum
2017 Flexibility in operation theatres Francisca Johnsen, Torkil Rasmussen Berit Helgheim, Lars Magnus Hvattum
2017 An exact method approach for milk collection using trucks and trailers Gulnara Shafiullina Arild Hoff
2017 Introducing profit maximization in inventory routing problems Anna Zaitseva Lars Magnus Hvattum
2016 The fleet size and mix location routing problem with pickup and delivery Gurpiar Singh Cheema Arild Hoff
2016 Optimization models for emergency preparedness in the Arctic region (*) Fredrik Berg Stien Lars Magnus Hvattum, Markus Brachner
2016 The implementation of a bi-temperature warehouse in the northern region of Morocco Yassine Louahabi Lars Magnus Hvattum
2016 Alternative models for routing of aircraft Marthe Vaseng Arntsen, Lisa Skavnes Johan Oppen
2016 Decision support for flexible liner shipping Håkon Bentsen Johan Oppen
2015 Production planning in GLAMOX ASA - A hybrid approach for ML-CLSP under uncertainty (*) David Behrens, Jarle Drivdal Thomassen Arild Hoff
2015 Location of regional warehouses - A case study Stian Andersen Arild Hoff
2015 Production planning and inventory management at Grande Factory Makseem Alnajjar, Enver Maliqi Johan Oppen

(*) In 2016, Fredrik Stien was awarded the national prize for the Best Master Thesis in Logistics.
(*) In 2015, David Behrens and Jarle Drivdal Thomassen were awarded the national prize for the Best Master Thesis in Logistics.

For additional information about master theses within the group, please contact

Professor Lars Magnus Hvattum

Phone: (+47) 71 21 42 23