Cost Estimation of Contractor Provided Supply Support for Aviation Simulators

Abstract

This study develops cost estimating relationships (CER) to estimate the cost of supply support for the maintenance of aircraft simulators. These CER's will be used in the Contractor Operation and Maintenance of Simulators (COMS) environment. The analysis techniques used to develop and validate these relationship include linear regression (simple and multiple), analysis of univariate distributions, simulation modeling, and linear optimization modeling. The regression analysis concludes that no useful CER is present in the cost elements represented by the sample of data gathered from actual simulator operations. There is, however, a useful CER present in another smaller set of data derived from the successful bids of eight contractors. These submissions were for maintenance with and without supply support. A simulation model was constructed to provide an independent cost estimate for use with the maintenance CER developed above. Analysis of univariate distributions was used to transform maintenance data from an operational simulator suite for use in the verification of the simulation model. Finally, an optimization model formulation is recommended for further investigation.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1991
Accession Number
ADA245483

Entities

People

  • Edward M. Biggers

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Acquisition
  • Contracts
  • Cost Estimates
  • Data Analysis
  • Data Science
  • Databases
  • Flight Simulators
  • Industrial Engineering
  • Information Science
  • Linear Programming
  • Maintenance
  • Maintenance Personnel
  • Operations Research
  • Personnel Management
  • Regression Analysis
  • Simulators
  • Statistical Analysis

Readers

  • Computational Modeling and Simulation
  • Life Cycle Cost Analysis
  • Operations Research