A Case Study on the Efficacy of Model-Based Requests for Information

Abstract

The Department of Defense (DoD) has encouraged the transition to digital engineering, yet there are limited guides for how to transition and there is limited data to show where an organization like a program office can reap the most benefit from the transition. To identify areas where potential benefits may be realized, this thesis compares two Requests for Information (RFIs), one document-based and one model-based, from generation to response. A survey was developed and administered to 7 members of a single program office to grade the RFI responses. The survey was based on the 43 benefit categories identified in the Systems Engineering Research Centers (SERC) previous study titled, Benchmarking the Benefits and Current Maturity of Model-Based Systems Engineering across the Enterprise. The study identified that model-based RFIs: 1) captured 100 more requirements, 2) doubled total RFI responses, 3) increased model-based RFI responses by 64 , 4) improved RFI responses across Quality, Velocity/Agility, User Engagement, and Knowledge Transfer, 5) increased responses that were pursued by 21 . Utilizing model-based RFIs is a simple first step for program offices to take on the transition to digital engineering, not only will it uncover overlooked requirements it will help improve responses allowing pursuit of better products.

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Document Details

Document Type
Technical Report
Publication Date
Aug 01, 2022
Accession Number
AD1182544

Entities

People

  • Kyle J Arruda

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Acquisition
  • Air Force
  • Command And Control
  • Configuration Management
  • Department Of Defense
  • Digital Engineering
  • Engineering
  • Engineers
  • Knowledge Management
  • Literature Surveys
  • Model Based Systems Engineering
  • Reliability
  • Software Development
  • System Of Systems
  • Systems Engineering
  • Systems Modeling Language
  • Test And Evaluation
  • Word Processors

Fields of Study

  • Computer science

Readers

  • Electronics Engineering
  • Software Engineering.