Developing a Universal Navy Uniform Adoption Model for Use in Forecasting

Abstract

The Navy Exchange Command (NEXCOM) Uniform Program Management Office (UPMO) is responsible for providing initial sales estimates to the Defense Logistics Agency (DLA) for new uniform programs, as a part of a Supply Request Package (SRP). The SRP contains a fielding plan that projects sale quantities through the Navy exchange (NEX) outlets, Recruit Training Command Great Lakes, and the Reserve Component. UPMO also provides annual revisions to DLA that reflect changes to expected sales, due to policy changes. As the item manager for most uniform programs, the DLA relies on these sales forecasts provided by the UPMO. In turn, the NEXCOM sources these uniforms from the DLA for commercial sales through the NEXs. This project endeavors to develop an accurate sales forecasting model for use by the NEXCOM to support SRP development. Data analysis software will be used to identify relationships between uniform sales, time, manpower, and allowance data in order to build the model. Once chosen, the best candidate model will be validated against alternate sales data from a comparable uniform program. By using this model, the NEXCOM can provide more accurate procurement estimates to DLA, thereby reducing the risk of inventory shortage or excess inventory holding costs caused by overestimation.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 2015
Accession Number
ADA632265

Entities

People

  • Jeff Legg
  • Michael Key

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Accounting
  • Acquisition
  • Business Administration
  • Cost Reductions
  • Data Analysis
  • Data Science
  • Delphi Method
  • Information Science
  • Inventory
  • Logistics
  • Naval Personnel
  • Personnel Management
  • Procurement
  • Supply Chain
  • Supply Chain Management
  • Training
  • United States

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.