J
Jakob Krarup
Researcher at University of Copenhagen
Publications - 39
Citations - 1886
Jakob Krarup is an academic researcher from University of Copenhagen. The author has contributed to research in topics: Combinatorial optimization & Decision problem. The author has an hindex of 17, co-authored 38 publications receiving 1813 citations.
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Journal ArticleDOI
The simple plant location problem: Survey and synthesis
Jakob Krarup,Peter Pruzan +1 more
TL;DR: In this paper, the authors consider a family of discrete, deterministic, single-criterion, NP-hard problems, including set packing, set covering, and set partitioning.
Book ChapterDOI
Sharp Lower Bounds and Efficient Algorithms for the Simple Plant Location Problem
Ole Bilde,Jakob Krarup +1 more
TL;DR: A conceptually straightforward method for generating sharp lower bounds constitutes the basic element in a family of efficient branch and bound algorithms for solving simple (uncapacitated) plant location problems and special versions hereof including set covering and set partitioning.
Book ChapterDOI
Computer-aided layout design
Jakob Krarup,Peter Pruzan +1 more
TL;DR: Within the general problem area of location problems, the layout planning problem or facilities location problem has for years attracted the attention of building planners (architects, industrial engineers, and operations researchers).
Book ChapterDOI
Plant location, Set Covering and Economic Lot Size: An 0 (mn)-Algorithm for Structured Problems
Jakob Krarup,Ole Bilde +1 more
TL;DR: In this article, a polynomially bounded algorithm for the plant location problem for which the coefficient matrix possesses certain properties is proposed, by means of which an optimal solution can be derived after a single pass.
Journal ArticleDOI
A hospital facility layout problem finally solved
Peter M. Hahn,Jakob Krarup +1 more
TL;DR: A history of a difficult facility layout problem that falls into the category of the Koopmans–Beckmann variant of the quadratic assignment problem (QAP), wherein 30 facilities are to be assigned to 30 locations is presented.