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Philippe De Bruecker
Researcher at Katholieke Universiteit Leuven
Publications - 20
Citations - 1359
Philippe De Bruecker is an academic researcher from Katholieke Universiteit Leuven. The author has contributed to research in topics: Aircraft maintenance & Schedule. The author has an hindex of 10, co-authored 20 publications receiving 1140 citations. Previous affiliations of Philippe De Bruecker include Hogeschool-Universiteit Brussel.
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Journal ArticleDOI
Personnel scheduling: A literature review
Jorne Van den Bergh,Jorne Van den Bergh,Jeroen Belien,Jeroen Belien,Philippe De Bruecker,Philippe De Bruecker,Erik Demeulemeester,Liesje De Boeck,Liesje De Boeck +8 more
TL;DR: This paper presents a review of the literature on personnel scheduling problems and discusses the classification methods in former review papers, and evaluates the literature in the many fields that are related to either the problem setting or the technical features.
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Workforce Planning Incorporating Skills: State of the Art
TL;DR: A review and classification of the literature regarding workforce planning problems incorporating skills to present a combination of technical and managerial knowledge to encourage the production of more realistic and useful solution techniques.
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Workforce planning incorporating skills: State of the art
TL;DR: A review and classification of the literature regarding workforce planning problems incorporating skills is presented in this paper, where the authors present a combination of technical and managerial knowledge to encourage the production of more realistic and useful solution techniques.
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Integrated staffing and scheduling for an aircraft line maintenance problem
TL;DR: An enumerative algorithm with bounding in which each node of the enumeration tree represents a mixed integer linear problem (MILP) such that it becomes tractable for commercial MILP solvers.
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A model enhancement approach for optimizing the integrated shift scheduling and vehicle routing problem in waste collection
TL;DR: The model enhancement approach accurately estimates the required collection times and therefore consistently finds a feasible solution and the solutions not only result in considerable savings, but are also proven to be (near)optimal by comparison with a practical lower bound based on flexible routes.