An Analysis of Alternative Methods of Measuring Hazardous Waste Reduction Progress at the Air Force Materiel Command's Air Logistic Centers

Abstract

This study investigated the relationship between aircraft related maintenance activity and the amount of hazardous waste (HW) disposed of by Air Force Materiel Command's (AFMC) Air Logistic Centers (ALC). These ALCS, along with the Aircraft Guidance and Meteorology Center, generate approximately 76 percent of the HW generated by the Air Force. The activity indexing and least squares curve fitting methods were used to predict the amount of HW that would have been disposed of based on the relative level of aircraft related maintenance activity had no pollution prevention efforts been implemented. These predictions were then compared to what historically occurred as the measure of pollution prevention progress. The results indicated that there is a moderate to strong correlation between HW disposal and aircraft related maintenance activity at five of the six bases studied. The activity indexing method based on an average ratio of HW to maintenance activity, and the method of fitting a least squares regression line through the origin were determined to be the most useful methods of measuring pollution prevention progress at the ALCS. Environmental metrics, Hazardous waste, Pollution prevention, Waste reduction, Waste minimization, Waste.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1994
Accession Number
ADA284853

Entities

People

  • Edward C. Finke

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircraft Maintenance
  • Computer Programs
  • Data Analysis
  • Descriptive Analytics
  • Environment
  • Environmental Health
  • Environmental Management
  • Hazardous Waste
  • Health Services
  • Law
  • Measurement
  • Medical Personnel
  • Natural Resources
  • Regression Analysis
  • Solid Waste
  • United States
  • Waste Products

Readers

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