Uncertainties of LCC Predictions

  • Gerald R. McNichols
Conference paper
Part of the NATO ASI Series book series (volume 3)


Many Life Cycle Cost (LCC) Models treat costs as “point estimates“ or “most likely” predictions of what actual costs will be many years in the future. Actual costs, however, are not exact, but are subject to considerable uncertainty. This paper examines an analytical method for aggregating LCC component and subsystem costs so as to produce a total cost prediction and the uncertainty around it. The technique has been applied to aircraft and space based radar costs.

Four problems of LCC prediction will be given. Recent work by McNichols (1979) solves the first two problems. This paper describes a solution for the third problem.


Covariance Radar Convolution Peaked Subsys 


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  1. CRAMER, H. (1946).Mathematical Methods of Statistics. Princeton Univ. Press, Princeton, Massachusetts.MATHGoogle Scholar
  2. FISHER, G. (1971).Cost Considerations in Systems Analysis. American Elsevier, New York.Google Scholar
  3. IGNIZIO, J., J.N.D. GUPTA, and G. McNICHOLS (1975).Operations Research in Decision Making. Crane-Russak, New York.MATHGoogle Scholar
  4. KENDALL, M. G. and S. STUART (1967).The Advanced Theory of Statistics. Hoffner Publishing Co., New York.Google Scholar
  5. McNICHOLS, G. (1975). Independent Parametric Costing: What? Why? How?Proceedings, Spring Conference of the American Institute of Industrial Engineers. AIIE, Norcross, Georgia.Google Scholar
  6. McNICHOLS, G. (1976).On the Treatment of Uncertainty in Parametric Costing. Report T-330, ONR Program in Logistics, George Washington University, Washington, D.C.Google Scholar
  7. McNICHOLS, G. (1979). Treatment of Uncertainty in Life Cycle Costing.Proceedings, Annual Reliability & Maintainability Symposium. IEEE, New York.Google Scholar
  8. McNICHOLS, G. (1981). Cost-Risk Procedures for Weapon System Risk Analysis.Proceedings, Annual Reliability & Maintainability Symposium. IEEE, New York.Google Scholar
  9. PATTON, G. (1969). First Order Approximation of Cost Variance and Its Value.Proceedings Fourth Annual DoD Cost Research Symposium. Office of the Comptroller of the Navy, Washington, D.C.Google Scholar
  10. PEARSON, E. (1963). Some Problems Arising in Approximating Percent Probability Distributions, Using Moments.Biometrika. 50 95–11.MATHMathSciNetGoogle Scholar
  11. SMITH, D. (1971). A Taylor’s Theorem-Central Limit Theorem Approximation: Its Use in Obtaining the Probability Distribution of Long Range Profit.Management Science18 B-214–219.CrossRefGoogle Scholar
  12. SOBEL, S. (1965).A Computerized Technique to Express Uncertainty in Advanced System Cost Estimates. The MITRE Corporation, TR-ESD-65–79, Bedford, Massachusetts.Google Scholar
  13. THIELE, T. N. (1903).Theory of Observations, London.MATHGoogle Scholar
  14. TSOKOS, C. (1972). Probability Distributions: An Introduction to Probability Theory With Applications. Duxbury Press, Belmont, CA.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1983

Authors and Affiliations

  • Gerald R. McNichols
    • 1
  1. 1.Management Consulting & Research, Inc.Falls ChurchUSA

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