A Parametric Cost Model for Estimating Operating and Support Costs of U.S. Navy (Non-Nuclear) Surface Ships.

Abstract

With few effective decision-making tools to assess the affordability of major weapon systems, management of total ownership costs is continually misunderstood. Cost analysis provides a quick and reliable assessment of affordability. Because there is no standardized method for calculating reliable estimates of operating and support (O&S) costs (the principal component of total ownership cost), this thesis formulates a parametric cost model which can be used to determine the annual O&S costs of U.S. Navy (non-nuclear) surface ships based on known (or assumed) physical characteristics and manpower expectations. Source data for the cost model is obtained from the Navy Visibility and Management of O&S Costs (VAMOSC) database, a historical cost database maintained by the Naval Center for Cost Analysis (NCCA). Through standard regression and data analysis techniques, cost estimating relationships are developed for three major cost drivers: ship light displacement, ship overall length, and ship manpower. The formulated parametric cost model is a top-level and fairly reliable representation of average annual O&S cost, and it can be used by the DOD cost community to perform component cost analyses or independent cost estimates.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1999
Accession Number
ADA363539

Entities

People

  • James M. Brandt

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Air Force
  • Aircraft Carriers
  • Birds
  • Boats
  • Cost Analysis
  • Data Analysis
  • Data Science
  • Databases
  • Information Processing
  • Information Science
  • Knowledge Management
  • Marine Transportation
  • Naval Operations
  • Naval Warfare
  • Navy
  • Nuclear Powered Ships
  • Personnel Management

Readers

  • Life Cycle Cost Analysis
  • Naval Architecture and Marine Engineering.
  • Systems Analysis and Design