Facility Location Using Cross Decomposition.

Abstract

Determining the best base stationing for military units can be modeled as a capacitated facility location problem with sole sourcing and multiple resource categories. Computational experience suggests that cross decomposition, a unification of Benders Decomposition and Lagrangean relaxation, is superior to other contemporary methods for solving capacitated facility location problems. Recent research extends cross decomposition to pure integer programming problems with explicit application to capacitated facility location problems wi sole sourcing; however, this research offers no computational experience. This thesis implements two cross decomposition algorithm for the capacitated facility location problem with sole sourcing and compares these decomposition algorithms with branch and bound methods. For some problems tested, cross decomposition obtains better solutions in less time; however, cross decomposition does not always perform better than branch and bound due to the time required to obtain the cross decomposition bound that is theoretically superior to other decomposition bounds.

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1995
Accession Number
ADA320150

Entities

People

  • Leroy A. Jackson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Algorithms
  • Base Closures
  • California
  • Computer Programming
  • Dynamic Programming
  • Evolutionary Algorithms
  • Heuristic Methods
  • Integer Programming
  • Linear Programming
  • Mathematical Programming
  • New York
  • Operations Research
  • Optimization
  • Schools
  • Simplex Method
  • United States

Readers

  • Government Contracting/Procurement.
  • Operations Research
  • Radar Systems Engineering.