MART (MAINTENANCE ANALYSIS AND REVIEW TECHNIQUE) B-58 MAINTENANCE ANALYSIS,

Abstract

The basic ground rule for this study was to consider the B-58 without hardware improvements. Two basic analytical management tools were used for this study. The MART (Maintenance Analysis and Review Technique) model was used to evaluate scheduling procedures and to determine new scheduling techniques for maximum sortie rate or operational readiness rate. This model was derived from and resembles the PERT (Program Evaluation Review Technique) concept that is widely used by the Air Force and Navy. The Base Maintenance and Operations Model (BMOM), derived from a Rand Corporation development, was the second management tool used for this analysis. This model simulates the base maintenance and flight operations. Using the IBM 7090 computer for this model, a months operation can be simulated in approximately 3 minutes (machine time). The January data was collected and used as inputs to this model and the outcome from the simulation run was checked against actual accomplishments. This model can be used to predict the capability of an organization, determine critical AGE or personnel problem areas and measure them in terms of sortie rate or operational readiness. Chapter II of this report describes the results obtained by the use of the above two models and outlines recommendations for a continued active B-58 sortie rate improvement program. Chapters III and IV give descriptions of the MART and BMOM models. (Author)

Document Details

Document Type
Technical Report
Publication Date
Jul 16, 1962
Accession Number
AD0465081

Entities

People

  • G. C. Henry

Organizations

  • General Dynamics

Tags

DTIC Thesaurus Topics

  • Air Force
  • Computers
  • Corporations
  • Maintenance
  • Management Engineering
  • Management Planning And Control
  • Military Personnel
  • Operational Readiness
  • Pert
  • Scheduling (Production)
  • Simulations
  • Simulators
  • Test And Evaluation

Readers

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