A Delphi Study to Determine Variables for Predictive MICAP Modeling

Abstract

Since the inception of the United States Air Force in 1947 it has cycled through many supply chain management organizational structures. Additionally, in the early 1950's the Air Force developed a major supply chain management data exchange operating system. As a result, the current Air Force enterprise supply chain system does a relatively good job getting mission essential aircraft parts into their artisan's hands most of the time. But despite their best efforts, the Air Force has proven to be unsuccessful in predicting mission essential parts needs at times for weapons systems across their enterprise, creating financial and manpower burdens across the wholesale and retail supply chain levels of operation. This research is essentially a first step towards identifying variables to be studied in further detail. Since there is no literature or any pre-ordained list of Department of Defense predictive variables from previous studies, this Delphi study was chosen to flesh out agreement between subject matter experts and provide a compass for future studies. The researcher found that neither of the Delphi panels was able to come to any level of agreement. The researcher provides limitations and recommendations for future research.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2013
Accession Number
ADA585001

Entities

People

  • Jeremy L. Pankoski

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Advanced Electronics
  • Air Platforms
  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircrafts
  • Airframes
  • Business Administration
  • Department Of Defense
  • Fighter Aircraft
  • Governments
  • Information Systems
  • Logistics
  • Management Personnel
  • Military Science
  • Organizational Structure
  • Supply Chain
  • Supply Chain Management
  • United States
  • Warfare

Fields of Study

  • Business

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Organizational Process Management (OPM).