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Coefficient of Network Complexity

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  • Richard A. Kaimann

    (Marquette University)

Abstract

The degree of complexity of a critical path network may be classified by calculating a Coefficient of Network Complexity. It is defined as the quotient of activities squared divided by events or preceding work items squared divided by work items. Three distinct contributions are offered. First, the CNC may serve as an indicator of the attention spent in planning the project. Second, the CNC may be used to derive a predictor of network computer processing time. Third, the CNC value suggests the appropriate processing scheme.

Suggested Citation

  • Richard A. Kaimann, 1974. "Coefficient of Network Complexity," Management Science, INFORMS, vol. 21(2), pages 172-177, October.
  • Handle: RePEc:inm:ormnsc:v:21:y:1974:i:2:p:172-177
    DOI: 10.1287/mnsc.21.2.172
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    Cited by:

    1. M. Vanhoucke & J. Coelho & L. V. Tavares & D. Debels, 2004. "On The Morphological Structure Of A Network," Working Papers of Faculty of Economics and Business Administration, Ghent University, Belgium 04/272, Ghent University, Faculty of Economics and Business Administration.
    2. De Reyck, Bert & Herroelen, Willy, 1996. "On the use of the complexity index as a measure of complexity in activity networks," European Journal of Operational Research, Elsevier, vol. 91(2), pages 347-366, June.
    3. R L Bregman, 2009. "Preemptive expediting to improve project due date performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 120-129, January.
    4. Bregman, Robert L., 2009. "A heuristic procedure for solving the dynamic probabilistic project expediting problem," European Journal of Operational Research, Elsevier, vol. 192(1), pages 125-137, January.
    5. Kolisch, Rainer & Sprecher, Arno & Drexl, Andreas, 1992. "Characterization and generation of a general class of resource-constrained project scheduling problems: Easy and hard instances," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 301, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Vanhoucke, Mario & Coelho, Jose & Debels, Dieter & Maenhout, Broos & Tavares, Luis V., 2008. "An evaluation of the adequacy of project network generators with systematically sampled networks," European Journal of Operational Research, Elsevier, vol. 187(2), pages 511-524, June.

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