A Multi-Commodity Network Design for the Defense Logistics Agency

Abstract

The Defense Logistics Agency (DLA) currently operates 28 depots in the United States from which it supplies over 45,000 customers with over 3 million products procured from over 10,000 suppliers. DLA plans to reduce its infrastructure and proposes to analyze its distribution system using the Strategic Analysis of Integrated Logistics Systems (SAILS) model - a mixed integer linear programming model widely used by a number of civilian organizations to make facility location decisions. The size of DLA's distribution system precludes directly evaluating all possible depot, product, and customer combinations. This thesis derives a 29 product, 113 customer aggregation scheme which facilitates SAILS execution and appears to adequately model DLA. Extensive comparisons between this aggregation scheme and others (44- , 49-, and 67-product; and 199- and 113-customer aggregations) at 100, 90, 80, 50, and 30 percent of derived depot throughput capacity show solutions to different aggregations result in virtually identical closure recommendations and total annual cost. This thesis shows how DLA can save over 300 million dollars annually through depot closure and reorganization. Demand aggregation, Multi- commodity distribution system, Commodity aggregation.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA283499

Entities

People

  • Robert D. Holmes Jr.

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Advanced Electronics
  • Biomedical
  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Accounting
  • Base Closures
  • Commerce
  • Commodities
  • Computers
  • Customer Services
  • Department Of Defense
  • Economic Analysis
  • Linear Programming
  • Logistics
  • Maintenance
  • Materials
  • Mathematical Models
  • Operations Research
  • Strategic Analysis
  • United States
  • Universities

Readers

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