The most viable method of forecasting the information required by the scheduling analyst when dealing with probabilistic networks is simulation. The major concern with this technique is the number of iterations required to produce viable decision-making information. The resutls of this study provide a basis for the selection of a resonable number of iterations and are based on analysis of actual networks utilized to control projects of a probabilistic nature. /Author/

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Filing Info

  • Accession Number: 00165334
  • Record Type: Publication
  • Report/Paper Numbers: ASCE 13202 Proceeding
  • Files: TRIS
  • Created Date: Mar 14 1978 12:00AM