A New Framework for Large Scale Data Envelopment Analysis (DEA)

Abstract

This project proposes to investigate a new framework for large scale DEA studies that will reduce computation times and increase analysis flexibility. The methodology is based on an initial extraction of essential elements known as extreme efficient DMUs. With this information, all four standard DEA models can be derived efficiently. The idea: was tested on 10,500 enlisted men in the E-8 and E-9 pay grade category in a DEA model to assess how effective these men are in transforming their education and skills into performance measures valued by the Navy.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1999
Accession Number
ADA363900

Entities

People

  • Jose H. Dula

Organizations

  • University of Mississippi

Tags

Communities of Interest

  • Air Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Additives (Chemicals)
  • Algorithms
  • Boundaries
  • Coefficients
  • Computations
  • Computer Programming
  • Computers
  • Data Sets
  • Education
  • Electronic Mail
  • Identification
  • Linear Programming
  • Operations Research
  • Production
  • Resilience
  • Standards
  • Systems Science

Readers

  • Computational Fluid Dynamics (CFD)
  • Naval Personnel Management
  • Operations Research