Comparison of Three Combat Logistic Force Models

Abstract

This thesis compares the results from three recently developed Combat Logistic Force (CLF) models using a variety of measures of effectiveness. The models used in this analysis were Battle Force Operation Replenishment Model (BFORM), the Replenishment-At-Sea Model (RASM) and the Resupply Sealift Requirements Generator and Ship on-Line Scheduler (RSRG/SOS).The measures of effectiveness (MOEs) used were average time off station, minimum commodity level, final commodity level and number of unreps completed. Several generic scenarios were employed in comparing the models results. Variables evaluated were Speed of Advance (SOA), replenishment mode, force disposition, and level of combat operations. The commodities evaluated were fuel (DFM and JP-5) and missiles (AAM/SAM). Analysis showed that RASM and BFORM results were very similar. However, BFORM results tended to be less optimistic that RASM. RASM and BFORM shared many common strengths and weaknesses. Most notable of the models' strengths was the flexibility that the user had in defining the scenario. Significant weaknesses in the models included assumptions of no attrition and unrealistic scheduling of CLF assets. RSRH/SOS did not compare well with the other models because of its aggregated modelling design. Keywords: Replenishment models; Naval logistics; Logistic measures of effectiveness; Theses.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1989
Accession Number
ADA208126

Entities

People

  • Sinclair M. Harris

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Ground and Sea Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Computer Programming
  • Computers
  • Engineers
  • Logistics
  • Measures Of Effectiveness
  • Naval Operations
  • Naval Vessels (Combatant)
  • Naval Warfare
  • Navy
  • Operations Research
  • Physics Laboratories
  • Rate Of Consumption
  • Reliability
  • Replenishment
  • Scheduling (Production)
  • Systems Engineering

Readers

  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.
  • Naval Architecture and Marine Engineering.