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Bjørn Nygreen
Researcher at Norwegian University of Science and Technology
Publications - 32
Citations - 1672
Bjørn Nygreen is an academic researcher from Norwegian University of Science and Technology. The author has contributed to research in topics: Column generation & Service provider. The author has an hindex of 17, co-authored 32 publications receiving 1564 citations.
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Journal ArticleDOI
Ship routing and scheduling in the new millennium
TL;DR: This work reviews research on ship routing and scheduling and related problems during the new millennium and provides four basic models in this domain and over a hundred new refereed papers on this topic during the last decade.
Book ChapterDOI
Chapter 4 Maritime Transportation
TL;DR: This chapter describes prescriptive operations research (OR) models and associated methodologies, rather than descriptive models that are usually of interest to economists and public policy makers, that have high potential to improve economic performance and increase profitability in the highly competitive arena.
Journal ArticleDOI
A method for solving ship routing problemswith inventory constraints
TL;DR: An optimisation-based solution approach for a real ship planning problem, which is a combination of a variant of the multi-vehicle pickup and delivery problem with time windows (m-PDPTW), and a multi-inventory model, which indicates that the proposed method works for the real planning problem.
Journal ArticleDOI
A multi-start local search heuristic for ship scheduling—a computational study
TL;DR: The computational study shows that the multi-start local search method consistently returns optimal or near-optimal solutions to real-life instances of the ship scheduling problem within a reasonable amount of computation time.
Journal ArticleDOI
Column generation approaches to ship scheduling with flexible cargo sizes
TL;DR: A Dantzig-Wolfe procedure for the ship scheduling problem with flexible cargo sizes, where a more extensive set of real world cases can be solved either to optimality or within a small deviation from optimality.