Improving Conceptual Model Development: Avoiding Underperformance Due to Project Uncertainties
Abstract
Uncertainty in a project's outcome can result from gaps in data, insufficient knowledge about an ecosystem, or simple natural variability. Characterizing the effects of these uncertainties is a necessary step in effective conceptual model development. A clear procedure for integrating and visualizing this information can allow the Project Development Team (PDT) to efficiently compare and prioritize alternative formulations, thus improving probability of project success.
Document Details
- Document Type
- Technical Report
- Publication Date
- Jul 01, 2010
- Accession Number
- ADA524889
Entities
People
- Andrew F. Casper
- Brian Zettle
- Greg Steyer
- Rebecca A. Efroymson
- Steven M. Davis
Organizations
- Engineer Research and Development Center