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Resource Allocation Capabilities of Commercial Project Management Software Packages

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  • Rainer Kolisch

    (Institut für Betriebswirtschaftslehre, Technische Universität Darmstadt, Hochschulstrasse 1, 64289 Darmstadt, Germany)

Abstract

This study concerns the quality of seven commercial project management software packages in allocating resources. Since the methods employed in these packages are proprietary, the quality is measured in terms of the deviation from an upper bound of the minimum makespan. As benchmark instances, a set of problems generated under a factorial design is used. Statistical tests are performed to investigate the impact of the problem parameters and to detect significant differences in quality among the packages.

Suggested Citation

  • Rainer Kolisch, 1999. "Resource Allocation Capabilities of Commercial Project Management Software Packages," Interfaces, INFORMS, vol. 29(4), pages 19-31, August.
    • Handle: RePEc:inm:orinte:v:29:y:1999:i:4:p:19-31
    DOI: 10.1287/inte.29.4.19
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    References listed on IDEAS

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    1. Rainer Kolisch & Arno Sprecher & Andreas Drexl, 1995. "Characterization and Generation of a General Class of Resource-Constrained Project Scheduling Problems," Management Science, INFORMS, vol. 41(10), pages 1693-1703, October.
    2. Kolisch, Rainer, 1996. "Serial and parallel resource-constrained project scheduling methods revisited: Theory and computation," European Journal of Operational Research, Elsevier, vol. 90(2), pages 320-333, April.
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    4. Li, K. Y. & Willis, R. J., 1992. "An iterative scheduling technique for resource-constrained project scheduling," European Journal of Operational Research, Elsevier, vol. 56(3), pages 370-379, February.
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    6. Edward W. Davis & James H. Patterson, 1975. "A Comparison of Heuristic and Optimum Solutions in Resource-Constrained Project Scheduling," Management Science, INFORMS, vol. 21(8), pages 944-955, April.
    7. Erik Demeulemeester & Willy Herroelen, 1992. "A Branch-and-Bound Procedure for the Multiple Resource-Constrained Project Scheduling Problem," Management Science, INFORMS, vol. 38(12), pages 1803-1818, December.
    8. De Wit, Jan & Herroelen, Willy, 1990. "An evaluation of microcomputer-based software packages for project management," European Journal of Operational Research, Elsevier, vol. 49(1), pages 102-139, November.
    9. James H. Patterson, 1984. "A Comparison of Exact Approaches for Solving the Multiple Constrained Resource, Project Scheduling Problem," Management Science, INFORMS, vol. 30(7), pages 854-867, July.
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    Cited by:

    1. W Herroelen & R Leus, 2005. "Identification and illumination of popular misconceptions about project scheduling and time buffering in a resource-constrained environment," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(1), pages 102-109, January.
    2. Andreas Schirmer, 2000. "Case‐based reasoning and improved adaptive search for project scheduling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 47(3), pages 201-222, April.
    3. Philipp Baumann & Norbert Trautmann, 2016. "A note on the selection of priority rules in software packages for project management," Flexible Services and Manufacturing Journal, Springer, vol. 28(4), pages 694-702, December.
    4. Mingers, John & White, Leroy, 2010. "A review of the recent contribution of systems thinking to operational research and management science," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1147-1161, December.
    5. Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre (Ed.), 2000. "Jahresbericht 1999," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 522, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Kolisch, R. & Padman, R., 2001. "An integrated survey of deterministic project scheduling," Omega, Elsevier, vol. 29(3), pages 249-272, June.
    7. Browning, Tyson R. & Yassine, Ali A., 2010. "Resource-constrained multi-project scheduling: Priority rule performance revisited," International Journal of Production Economics, Elsevier, vol. 126(2), pages 212-228, August.
    8. E A Silver, 2004. "An overview of heuristic solution methods," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 55(9), pages 936-956, September.

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