U
Ulrich Derigs
Researcher at University of Cologne
Publications - 105
Citations - 2487
Ulrich Derigs is an academic researcher from University of Cologne. The author has contributed to research in topics: Vehicle routing problem & Decision support system. The author has an hindex of 26, co-authored 105 publications receiving 2321 citations. Previous affiliations of Ulrich Derigs include University of Bonn & University of Bayreuth.
Papers
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Journal ArticleDOI
Review and analysis of current Shariah‐compliant equity screening practices
Ulrich Derigs,Shehab Marzban +1 more
TL;DR: In this paper, the impact of applying alternative Shariah screens on the resulting universe of halal assets is analyzed and it is shown that Shariah screening procedures currently used in practice are inconsistent with respect to discriminating between halal and haram.
Book
Assignment and Matching Problems: Solution Methods with FORTRAN-Programs
R. E. Burkhard,Ulrich Derigs +1 more
TL;DR: In this article, the linear sum assignment problem and the cardinality matching problem are used to solve the Chinese Postman Problem. But the linear Sum Matching Problem is not one of the problems we consider in this paper.
Journal ArticleDOI
New strategies and a new paradigm for Shariah-compliant portfolio optimization.
Ulrich Derigs,Shehab Marzban +1 more
TL;DR: In this article, the authors analyze the effects of different strategies to construct Shariah compatible financial portfolios and propose several new strategies to apply the inconsistent rule systems and a new paradigm for defining Shariah compliance.
Journal ArticleDOI
Vehicle routing with compartments: applications, modelling and heuristics
TL;DR: A solver suite of heuristic components is presented, which covers a broad range of alternative approaches for construction, local search, large neighbourhood search and meta-heuristics, and shows to be competitive.
Journal ArticleDOI
Truck and trailer routing-Problems, heuristics and computational experience
TL;DR: A simple and flexible hybrid approach which is based on local search and large neighborhood search as well as standard metaheuristic control strategies is presented which can compete with complex state-of-the-art approaches with respect to speed and accuracy on the TTRP.