An Analysis of Forecasting Methods on Supply Discrepancy Reporting

Abstract

The Department of Defense (DoD) tracks and records all cargo shipments as they move from one location to the next. Inevitably, there are mistakes that are made when dealing with these shipments. Currently the Air Force does not use any forecasting techniques to predict these shipping discrepancies, thus it has no way to prepare for them other than employing remedial measures after errors occur. The purpose of this research is to study the current Air Force shipping processes, specifically shipping discrepancies, and determine if any trends emerge. By examining historical shipment discrepancy data, a trend analysis was accomplished and from this data a relatively accurate forecast was developed. In the final analysis, it was concluded that three models most accurately forecasted the behavior of the discrepancy codes studied. These three models can be utilized in determining the root causes of these discrepancy trends. If employed, focused training events should reduce costs to the Air Force through cost avoidance through by circumventing lost time and resources normally expended correcting shipping errors.

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Document Details

Document Type
Technical Report
Publication Date
Mar 23, 2017
Accession Number
AD1055121

Entities

People

  • Cody S. Freeborn

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Counter WMD
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Accuracy
  • Additives (Chemicals)
  • Air Force
  • Autocorrelation
  • Bibliographies
  • Commerce
  • Data Sets
  • Decomposition
  • Delphi Method
  • Department Of Defense
  • Digital Data
  • Digital Information
  • Economic Forecasting
  • Equations
  • Errors
  • Histograms
  • Humanities
  • Intervals
  • Metadata
  • Normality
  • Supply Chain
  • Supply Chain Management

Readers

  • Aerospace logistics and air mobility.
  • Aviation Safety Risk Assessment.
  • Theoretical Analysis.