Konferanser og seminarer

Abdalrahman Algendi holds his trial lecture and defends his PhD Thesis “Optimization methods for integrated home healthcare routing and scheduling problems in a Norwegian context” at Molde University College - Specialized University in Logistics.

Come meet and greet all our international students.

DR030 will introduce you to a range of empirical research methodologies, allowing you to develop an understanding of how to use these approaches effectively in supply chain management research, and preparing you to evaluate research done by others. Read the whole course description.

This course introduces the foundations of agentic AI systems for students and researchers from diverse disciplinary backgrounds.

The course is an important tool for gathering all the PhD-students at the doctoral programme in logistics, while being relevant and of interest to students regardless of research project and methodological approach.

This years "Fjord Conference" is organised by NTNU Ålesund and will be held in Loen. Cultural struggles is this years main theme. 

The course is an important tool for gathering all the PhD-students at the doctoral programme in logistics, while being relevant and of interest to students regardless of research project and methodological approach.

Carla de Oliveira Leite Nascimento holds her trial lecture and defends her PhD Thesis “Operationalising Crowdshipping: A Case-Based Approach to Urban E-Grocery Logistics” at Molde University College - Specialized University in Logistics.

This practical-based course provides an in-depth introduction to stated choice survey design and modelling. It focuses on the definition, design, and deployment of rigorous and robust techniques, based on sound microeconomic theory. Investigating agents’ preferences with respect to hypothetical scenarios allows predicting the behavioural change that adopting any intervention policy could produce.​

Can Meng holds her trial lecture and defends her PhD Thesis “Innovation and Firms’ Internationalization Strategies: A Study of Their Mutual Relationships and Contextual Influences” at Molde University College - Specialized University in Logistics.

Benjamin Mosses Sakita holds his trial lecture and defends his PhD Thesis “Digital transformation in the maritime ports sector: Evidence from a developing economy” at Molde University College - Specialized University in Logistics.

We are happy to welcome the Operations Research community to the NORS Annual Conference 2025 at Molde University College - Specialized University in Logistics. It is also a great pleasure to invite you all to our new campus in Kristiansund.

The general objective is to learn about the state of the art in Cost-Benefit Analysis for various sectors. There is an increasing need for evaluation and ranking of projects within constrained public budgets. CBA is one of the methods that are extensively used in economic impact assessment of projects in the public sector.

Molde University College is hosting the Profres Autmn PhD Symposium "Navigating Practice-Near Research: Opportunities and Challenges"

Gilbert Laporte is Professor Emeritus at HEC Montréal. He will provide some advice on how to write scientific papers with a strong emphasis on operational research papers. The presentation covers all the main components of a standard OR paper: title page, abstract, problem statement, literature review, model, algorithm, computational results, conclusions, references.

In today’s data-rich environment, researchers and professionals are increasingly expected to analyse complex relationships among variables—far beyond what traditional statistical techniques can handle. Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA) offer powerful tools to generate deep insights into latent constructs, measurement quality, and theoretical model testing. 

Luís Manuel Nobre de Brito Elvas holds his trial lecture and defends his PhD Thesis “Structuring the Unstructured: An AI Driven Approach to Electronic Health Record Transformation for Clinical Decision Support”  at Molde University College - Specialized University in Logistics.

Anna Konovalenko holds her trial lecture and defends her PhD Thesis “Advancing the use of machine learning for complex optimization problems”  at Molde University College - Specialized University in Logistics.

The EU-funded e-Hospital4Future project will have its closing event at Molde University College. Representatives for the Norwegian Directorate of Health, project participants and EU representatives will gather to sum up the project.

This practical-based course provides an in-depth introduction to stated choice survey design and modelling. It focuses on the definition, design, and deployment of rigorous and robust techniques, based on sound microeconomic theory. Investigating agents’ preferences with respect to hypothetical scenarios allows predicting the behavioural change that adopting any intervention policy could produce.​

"Emerging Technologies for Logistics and Business " is a comprehensive curriculum unit designed for Phd programs that focus on staying at the forefront of disruptive technologies. In today's rapidly evolving business landscape, integrating cutting-edge technologies is crucial for organizations to thrive and adapt to the ever-changing market dynamics. This course aims to equip students with the knowledge and skills necessary to navigate and leverage emerging technologies effectively in the realms of logistics and business.

Graph theory is a powerful tool for modeling many real-life problems including logistics problems such as scheduling, assignment, routing and network design.In this course we start by giving an introduction to graph theory concepts and applications. Special weight is given to the computational representation of graphs. Then, several classic problems in graph theory are studied in detail. Each problem is formally defined and several lemmas and theorems on properties of the problem at hand are proved. These lemmas and theorems then lead to algorithms to handle the studied problem.