Comparison of Operational Availability Modeling by TIGER and SESAME

Abstract

The Department of Defense (DoD) has begun to consolidate the services' similar logistic methodologies. The Joint Logistics Systems Center (JLSC) at Wright-Patterson Air Force Base in Ohio has been tasked by DoD with providing a supply support requirements computation system based on weapon system availability (i.e. readiness based sparing). JLSC canvassed DoD for the different requirements determination approaches used by the services. The Army's Selective Stockage for Availability Multi-Echelon Model (SESAME) and the Naval Sea Systems Command's (NAVSEA) model named TIGER were two applications found to be used in DoD for computing supply support requirements based on readiness- based sparing (RBS) concepts. This thesis compares TIGER and SESAME, focusing on their methodology for computing the steady-state operational availability for a weapon system for various supply support scenarios. SESAME allows for a four- echelon supply support system and computes operational availability for a weapon system at many locations. TIGER allows for only two echelons of supply support and computes operational availability for a weapon system at only one location. SESAME, TIGER, Readiness Based Sparing, Operational Availability, Ao, Inventory Models

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA283943

Entities

People

  • Timothy F. French

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Computations
  • Computer Programs
  • Department Of Defense
  • Differential Equations
  • Downtime
  • Failure Mode And Effect Analysis
  • Logistics
  • Maintenance
  • Maintenance Personnel
  • Military Organizations
  • Rocket Launchers
  • Steady State
  • United States
  • Weapon Systems
  • Weapons

Fields of Study

  • Computer science

Readers

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