Chance-Constrained Missile-Procurement and Deployment Models for Naval Surface Warfare

Abstract

We model the problem of minimum-cost procurement and allocation of anti-ship cruise missiles to naval combat ships as a two-period chance-constrained program with recourse. Discrete scenarios in two periods define "demands" for missiles (i.e., targets and number of missiles required to kill those targets), which must be met with acceptable probabilities. After the first combat period, ships may replenish their inventories from a depot, if the depot's inventory suffices. A force commander assigns targets to ships based on missile load-outs and target demands. The deterministic-equivalent integer program solves too slowly for practical use. We propose a specialized decomposition algorithm, implemented in MATLAB, which solves the two-period model via a series of single-period problems. The algorithm yields optimal solutions for a wide range of missile-allocation directives, and usually near-optimal solutions otherwise. We exploit the fact that each single-period problem is a probabilistic integer program, whose solution must be a p-efficient point (PEP) of that period's demand distribution. Our algorithm uses PEP-enumeration techniques developed by Beraldi and Ruszczyinski, and a specialized algorithm from Kress, Penn and Polukarov.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 2005
Accession Number
ADA432928

Entities

People

  • Ittai Avital

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Computers
  • Cruise Missiles
  • Information Science
  • Inventory
  • Linear Programming
  • Mathematical Models
  • Mathematical Programming
  • Naval Warfare
  • Operations Research
  • Optimization
  • Personal Computers
  • Probability
  • Procurement
  • Statistics
  • Supply Chain

Readers

  • Logistics and Supply Chain Management.
  • Missile Defense Systems.
  • Operations Research