Forecasting Navy Issue and Receipt Workload at Defense Logistics Agency Depots.

Abstract

Each year the Defense Logistics Agency (DLA) asks the military services to estimate their future issue and receipt workload demands at DLA distribution depots. DLA uses these estimates to determine expected costs and revenues at the distribution depots. Accurate workload forecasting allows DLA planners to establish appropriate surcharges for their services. Inaccurate estimates can lead to higher costs to DLA and, ultimately, to the Navy. We evaluate current Navy forecasting methods and develop several causative factors that influence issue and receipt workload. We present single and multiple regression models to predict future issue and receipt demands and compare these models with those currently used by Naval Supply Systems Command. Our results suggest that causal based modeling is a feasible alternative to current models and may more accurately estimate future issue and receipt workload for the Navy.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1996
Accession Number
ADA324945

Entities

People

  • Perry A. Warbrick

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Weapons Technologies

DTIC Thesaurus Topics

  • Active Duty
  • Budgets
  • Civilian Personnel
  • Data Sets
  • Databases
  • Delphi Method
  • Department Of Defense
  • Economic Analysis
  • Governments
  • Information Systems
  • Inventory Control
  • Logistics
  • Management Information Systems
  • Regression Analysis
  • United States
  • United States Government
  • Workload

Fields of Study

  • Computer science

Readers

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