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Experimentelle Evaluation der methodischen Fundierung von Projektmanagementsoftware

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  • Kolisch, Rainer
  • Hempel, Kai

Abstract

EDV-gestütztes Projektmanagement (PM) ist eine weit verbreitete Planungsmethode auf allen Managementebenen. Allein in Deutschland werden derzeit ca. 350 unterschiedliche kommerzielle PM-Programme angeboten. Differenzierungen ergeben sich hinsichtlich der funktionalen Ausrichtung, beispielsweise für den F&E- oder den Fertigungsbereich, der benötigten Rechnerplattform und des Betriebssystems sowie der handhabbaren Projektgröße. Alle Programme besitzen jedoch mit den vier grundlegenden Planungsfunktionen Struktur-, Zeit-, Kapazitäts- und Kostenplanung eine gemeinsame modelltheoretische und methodische Grundlage. Vor dem Hintergrund der in den letzten Jahren drastisch reduzierten Kapazitäten und der gewachsenen Bedeutung von Lieferterminen hat insbesondere die Kapazitätsplanung eine rasante Weiterentwicklung erfahren. Während sich noch in den 80-er Jahren die Funktionalität auf die Darstellung von Kapazitätsbelastungsdiagrammen beschränkte und eine ressourcentreue Planung - wenn überhaupt - nur manuell durchführbar war, so ist heute die automatische Erzeugung ressourcenzulässiger Projektablaufpläne mit der Mehrzahl der PM-Programme möglich. Kern der Funktionalität ist das in Abschnitt 2.2.1 näher dargestellte Grundmodell der Kapazitätsplanung. Programmabhängig werden darüber hinaus Erweiterungen angeboten, auf die in Abschnitt 2.3 eingegegangen wird...

Suggested Citation

  • Kolisch, Rainer & Hempel, Kai, 1995. "Experimentelle Evaluation der methodischen Fundierung von Projektmanagementsoftware," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 372, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    • Handle: RePEc:zbw:cauman:372
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    1. A. Alan B. Pritsker & Lawrence J. Waiters & Philip M. Wolfe, 1969. "Multiproject Scheduling with Limited Resources: A Zero-One Programming Approach," Management Science, INFORMS, vol. 16(1), pages 93-108, September.
    2. Domschke, Wolfgang & Drexl, A., 1991. "Kapazitätsplanung in Netzwerken – Ein Überblick über neuere Modelle und Verfahren," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36422, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. F. Brian Talbot, 1982. "Resource-Constrained Project Scheduling with Time-Resource Tradeoffs: The Nonpreemptive Case," Management Science, INFORMS, vol. 28(10), pages 1197-1210, October.
    4. 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.
    5. James H. Patterson & Walter D. Huber, 1974. "A Horizon-Varying, Zero-One Approach to Project Scheduling," Management Science, INFORMS, vol. 20(6), pages 990-998, February.
    6. 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.
    7. Zhan, Ji, 1994. "Heuristics for scheduling resource-constrained projects in MPM networks," European Journal of Operational Research, Elsevier, vol. 76(1), pages 192-205, July.
    8. Nandi, SN & Dutta, BK, 1988. "Trends in project cost control systems," Omega, Elsevier, vol. 16(6), pages 513-520.
    9. Tobias, Andrew, 1991. "O.R. techniques for use in redesigning manufacturing and associated business systems," European Journal of Operational Research, Elsevier, vol. 51(2), pages 168-178, March.
    10. Bandelloni, M. & Tucci, M. & Rinaldi, R., 1994. "Optimal resource leveling using non-serial dyanamic programming," European Journal of Operational Research, Elsevier, vol. 78(2), pages 162-177, October.
    11. Green, Paul E, 1974. "On the Design of Choice Experiments Involving Multifactor Alternatives," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 1(2), pages 61-68, Se.
    12. 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.
    13. Ziegler, Hans, 1985. "Minimal and maximal floats in project networks," Engineering Costs and Production Economics, Elsevier, vol. 9(1-3), pages 91-97, April.
    14. 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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