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DSS for multiobjective project scheduling

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  • Slowinski, Roman
  • Soniewicki, Boleslaw
  • Weglarz, Jan

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Suggested Citation

  • Slowinski, Roman & Soniewicki, Boleslaw & Weglarz, Jan, 1994. "DSS for multiobjective project scheduling," European Journal of Operational Research, Elsevier, vol. 79(2), pages 220-229, December.
  • Handle: RePEc:eee:ejores:v:79:y:1994:i:2:p:220-229
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    Cited by:

    1. Lova, Antonio & Tormos, Pilar & Cervantes, Mariamar & Barber, Federico, 2009. "An efficient hybrid genetic algorithm for scheduling projects with resource constraints and multiple execution modes," International Journal of Production Economics, Elsevier, vol. 117(2), pages 302-316, February.
    2. De Reyck, Bert & Herroelen, Willy, 1999. "The multi-mode resource-constrained project scheduling problem with generalized precedence relations," European Journal of Operational Research, Elsevier, vol. 119(2), pages 538-556, December.
    3. Elloumi, Sonda & Fortemps, Philippe, 2010. "A hybrid rank-based evolutionary algorithm applied to multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 205(1), pages 31-41, August.
    4. Kolisch, R. & Padman, R., 2001. "An integrated survey of deterministic project scheduling," Omega, Elsevier, vol. 29(3), pages 249-272, June.
    5. Drexl, Andreas & Kolisch, Rainer & Sprecher, Arno, 1995. "Neuere Entwicklungen in der computergestützten Projektplanung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 379, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Hapke, Maciej & Jaszkiewicz, Andrzej & Slowinski, Roman, 1998. "Interactive analysis of multiple-criteria project scheduling problems," European Journal of Operational Research, Elsevier, vol. 107(2), pages 315-324, June.
    7. V. Van Peteghem & M. Vanhoucke, 2009. "An Artificial Immune System for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 09/555, Ghent University, Faculty of Economics and Business Administration.
    8. Pinto, F.S. & Figueira, J.R. & Marques, R.C., 2015. "A multi-objective approach with soft constraints for water supply and wastewater coverage improvements," European Journal of Operational Research, Elsevier, vol. 246(2), pages 609-618.
    9. Hartmann, Sönke & Briskorn, Dirk, 2010. "A survey of variants and extensions of the resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 207(1), pages 1-14, November.
    10. Peteghem, Vincent Van & Vanhoucke, Mario, 2010. "A genetic algorithm for the preemptive and non-preemptive multi-mode resource-constrained project scheduling problem," European Journal of Operational Research, Elsevier, vol. 201(2), pages 409-418, March.
    11. Van Peteghem, Vincent & Vanhoucke, Mario, 2014. "An experimental investigation of metaheuristics for the multi-mode resource-constrained project scheduling problem on new dataset instances," European Journal of Operational Research, Elsevier, vol. 235(1), pages 62-72.
    12. Heilmann, Roland, 2003. "A branch-and-bound procedure for the multi-mode resource-constrained project scheduling problem with minimum and maximum time lags," European Journal of Operational Research, Elsevier, vol. 144(2), pages 348-365, January.
    13. Frank Schultmann & Otto Rentz, 2002. "Scheduling of deconstruction projects under resource constraints," Construction Management and Economics, Taylor & Francis Journals, vol. 20(5), pages 391-401.
    14. V. Van Peteghem & M. Vanhoucke, 2008. "A Genetic Algorithm for the Multi-Mode Resource-Constrained Project Scheduling Problem," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 08/494, Ghent University, Faculty of Economics and Business Administration.
    15. Konstantinidis, Peter D., 1998. "A model to optimize project resource allocation by construction of a balanced histogram," European Journal of Operational Research, Elsevier, vol. 104(3), pages 559-571, February.
    16. He, Zhengwen & Liu, Renjing & Jia, Tao, 2012. "Metaheuristics for multi-mode capital-constrained project payment scheduling," European Journal of Operational Research, Elsevier, vol. 223(3), pages 605-613.
    17. repec:pal:jorsoc:v:54:y:2003:i:6:d:10.1057_palgrave.jors.2601563 is not listed on IDEAS
    18. Drexl, Andreas & Nikulin, Yuri, 2005. "Multicriteria time window-constrained project scheduling with applications to airport gate assignment. Part I: Methodology," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 595, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    19. KIlIç, Murat & Ulusoy, Gündüz & Serifoglu, Funda Sivrikaya, 2008. "A bi-objective genetic algorithm approach to risk mitigation in project scheduling," International Journal of Production Economics, Elsevier, vol. 112(1), pages 202-216, March.
    20. Moukrim, Aziz & Quilliot, Alain & Toussaint, Hélène, 2015. "An effective branch-and-price algorithm for the Preemptive Resource Constrained Project Scheduling Problem based on minimal Interval Order Enumeration," European Journal of Operational Research, Elsevier, vol. 244(2), pages 360-368.
    21. Drexl, Andreas & Kolisch, Rainer & Sprecher, Arno, 1997. "Koordination und Integration im Projektmanagement - Aufgaben und Instrumente," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 443, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    22. Józefowska, J. & Zimniak, A., 2008. "Optimization tool for short-term production planning and scheduling," International Journal of Production Economics, Elsevier, vol. 112(1), pages 109-120, March.
    23. Xiao, Jing & Wu, Zhou & Hong, Xi-Xi & Tang, Jian-Chao & Tang, Yong, 2016. "Integration of electromagnetism with multi-objective evolutionary algorithms for RCPSP," European Journal of Operational Research, Elsevier, vol. 251(1), pages 22-35.

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