Repair Cycle Base Self-Sufficiency Model

Abstract

The primary emphasis in this thesis is to develop a tool for use by base level managers in evaluating base self-sufficiency. Base self-sufficiency is gauged by the percent base repair (PBR) and repair cycle time (RCT) for those assets coded as reparable. This study focuses on incrementally increasing PBR and decreasing RCT to determine their effects on expected backorders, the fill rate and stockage cost. The tool or model developed in this effort is a Fortran 77 program replicating existing Repair Cycle Demand Level (RCDL) conventions employed in the Air Force's Standard Base Supply System (SBSS). In evaluating the sensitivity of PBR and RCT, the simple poisson distribution is used to describe demand and resupply probabilities. This particular distribution is widely used for solving inventory problems, it accurately describes reparable item demand, and is not computationally burdensome. The results generally show RCT, for repaired items only (RCT1), and PBR are sensitive to the performance measures. This study recommends the developed model be replicated and sent out to the field for base level use. In addition, a recommendation is made for Air Force managers to emphasize and push for increasing base repair capabilities to reap the benefits of the savings derived and improve operational stockage performance.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1985
Accession Number
ADA161083

Entities

People

  • Russell E. Ewan

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Ground and Sea Platforms
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Air Force Facilities
  • Computations
  • Computer Programming
  • Computers
  • Data Science
  • Databases
  • Equations
  • Experimental Design
  • Information Science
  • Knowledge Management
  • Language
  • Logistics
  • Logistics Management
  • Maintenance
  • Regression Analysis
  • United States

Fields of Study

  • Engineering

Readers

  • Computational Modeling and Simulation
  • Energy Conservation and Renewable Energy Engineering.
  • Logistics and Supply Chain Management.