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A note on the paper "Resource-constrained project scheduling: Notation, classification, models and methods" by Brucker et al

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  • Herroelen, Willy
  • Demeulemeester, Erik
  • De Reyck, Bert

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  • Herroelen, Willy & Demeulemeester, Erik & De Reyck, Bert, 2001. "A note on the paper "Resource-constrained project scheduling: Notation, classification, models and methods" by Brucker et al," European Journal of Operational Research, Elsevier, vol. 128(3), pages 679-688, February.
    • Handle: RePEc:eee:ejores:v:128:y:2001:i:3:p:679-688
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    1. Kolisch, Rainer & Hartmann, Sönke, 1998. "Heuristic algorithms for solving the resource-constrained project scheduling problem: Classification and computational analysis," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 469, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    2. Brucker, Peter & Drexl, Andreas & Mohring, Rolf & Neumann, Klaus & Pesch, Erwin, 1999. "Resource-constrained project scheduling: Notation, classification, models, and methods," European Journal of Operational Research, Elsevier, vol. 112(1), pages 3-41, January.
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    Cited by:

    1. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.
    2. Vanhoucke, Mario & Coelho, José, 2016. "An approach using SAT solvers for the RCPSP with logical constraints," European Journal of Operational Research, Elsevier, vol. 249(2), pages 577-591.
    3. Jeff Scales, 2020. "A design science research approach to closing the gap between the research and practice of project scheduling," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(5), pages 804-812, September.

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