Simulation Modeling and Analysis of TNMCS for the B-1 Strategic Bomber

Abstract

Simulation provides a method of modeling complex systems which would otherwise be impractical for quantitative experimentation. While other analytic techniques have been used to explore Total Non-Mission Capable [due to] Supply (TNMCS) rates, simulation offers a novel approach to discovering what aspects of the supply chain impact this metric. This research develops a discrete event simulation to investigate factors which affect TNMCS rates for the B-1B by modeling the core processes within the Air Force (AF) supply chain. A notional fleet of 16 aircraft at a single air base (Ellsworth AFB, SD) is modeled based on historical supply and maintenance data. To identify and quantify the effects of various factors, an experimental design is used for analyzing the output of our high-level discrete event simulation. Additionally, two different approaches to reporting and modeling Air Logistics Center (ALC) stockage effectiveness (SE) are compared to our baseline simulation. This exploration shows several factors which significantly impact TNMCS rates and have the potential to reduce them to their current targets.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 2010
Accession Number
ADA521936

Entities

People

  • Carl R. Parson

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Biomedical

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Aircraft Maintenance
  • Aircrafts
  • Complex Systems
  • Data Science
  • Department Of Defense
  • Electric Vehicles
  • Experimental Design
  • Information Science
  • Logistics
  • Maintenance
  • Simulations
  • Statistics
  • Supply Chain
  • Supply Chain Management
  • United States

Readers

  • Aerial Delivery - Logistics and Supply Chain Management.
  • Computational Modeling and Simulation
  • Logistics and Supply Chain Management.