An Assessment of the Life Cycle Contracting Model for Use by Major Aerospace Weapon System Acquisition Managers.

Abstract

This thesis assesses the utility of using the Life Cycle Contracting Model (developed by Dan C. Boger, Carl R. Jones, and Kevin C. Sontheimer) in major weapon systems acquisition. The conclusions are based on an analysis of LCC model simulated 'real world' follow-on production contracting scenarios. 'What if' changes are made to the contracting scenario parameters to understand how the LCC model might be used by major weapon system acquisition and contract managers. An analysis shows that the LCC model can be used to interpret the results of trade-off decisions and to assist the contract manager in developing sound negotiating strategy alternatives. Total contract cost to the government cannot be predicted with the model but the effects on total cost of decisions made can be inferred and compared. The LCC model should be used to justify deviations from full and open competition and to demonstrate the predicted results of viable, lower cost alternatives to firm fixed price contracting. Keywords: Acquisition; Contracting; Acquisition Planning; Major Weapon System Acquisition; Contract Incentives; Incentive Modeling.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1985
Accession Number
ADA165238

Entities

People

  • Kimberly J. Annunziata

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Aerospace Industry
  • Business Administration
  • Contractors
  • Contracts
  • Cost Estimates
  • Fixed Price Contracts
  • Government Procurement
  • Governments
  • Incentive Contracts
  • Life Cycles
  • Money
  • Procurement
  • Security
  • United States
  • United States Government
  • Weapons

Readers

  • Computational Modeling and Simulation
  • Defense Acquisition Program Management
  • Life Cycle Cost Analysis

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • Space