Predicting Schedule Duration for Defense Acquisition Programs: Program Initiation to Initial Operational Capability

Abstract

Accurately predicting the most realistic schedule for a defense acquisitions program is an extremely difficult task considering the inherent risk and uncertainties present in the early stages of a program. We use a multiple regression analysis to predict schedule duration in a defense acquisition program. The prediction scope of our research is limited to predicting schedule duration from program initiation to initial operation capability (IOC).We use the data from 56 programs across all services, which was acquired from a SAR database created by RAND. We were able to achieve an R2 of 0.429 and an Adjusted R2 of 0.384 in our finalized model multiple regression model. Based on the lack of clarity present in the early stages of a program, we look to the R2 and Adjusted R2 of our final model to be significant in predicting schedule from program initiation to IOC. We found whether MS-B start occurred in 1985 or later, a program was a modification or not, the RDT and E funding at MS-B start (BY16), and RDT and E $(M) at MS-B start (BY16) to be significant predictors of the time in months between MS-B start and IOC.

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Document Details

Document Type
Technical Report
Publication Date
Mar 24, 2016
Accession Number
AD1008482

Entities

People

  • Christopher A Jimenez

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • C4I
  • Electronic Warfare
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Acquisition
  • Air Force
  • Aircraft Equipment
  • Data Analysis
  • Data Mining
  • Data Science
  • Databases
  • Information Science
  • Knowledge Management
  • Mathematical Models
  • Military Acquisition
  • Procurement
  • Regression Analysis
  • Statistical Algorithms
  • Statistical Analysis
  • Systems Engineering
  • Test And Evaluation

Fields of Study

  • Computer science

Readers

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