Multivariate Analysis of the Effect of Source of Supply and Carrier on Shipping Times for Issue Priority Group One (IPG-1) Requisitions

Abstract

The objective of this thesis is to examine the effects of source of supply and carrier on shipping times of high-priority requisitions to primary destinations of Navy units in the Pacific Theater and Persian Gulf. Our focus was primarily on determining whether source of supply, carrier, and the interaction of these two factors, have an effect on shipping times of high-priority requisitions. 'Source of supply' refers to Department of Defense supply depots and 'carrier' refers to shippers, such as Federal Express and DHL Worldwide Express. This study uses ordinary least square (OLS) linear models, generalized linear models (GLM's) and nonparametric methods to explore the structure of the historical requisition datasets. OLS linear models were found to be inadequate, but both the GLM's and nonparametric tests proved to be valid and yielded results from which inferences could be made. According to the GLM's and nonparametric tests, source of supply has a statistically significant effect on shipping times of high-priority requisitions, but carrier does not. The GLM's also indicated that there is no significant interaction between source of supply and carrier.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 2003
Accession Number
ADA418296

Entities

People

  • Brian Schorn

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Data Analysis
  • Data Science
  • Databases
  • Department Of Defense
  • Electronic Mail
  • Information Processing
  • Information Science
  • Logistics
  • Marine Transportation
  • Multivariate Analysis
  • Navy
  • Operations Research
  • Statistical Analysis
  • Statistics
  • Supply Depots
  • Transportation
  • Uss Lake Champlain

Readers

  • Aviation Safety and Air Traffic Management
  • Logistics and Supply Chain Management.
  • Organizational Psychology.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - DoD AI Strategy
  • AI & ML - Neural Networks