An Analysis of MH-53E Aircraft Maintenance Manpower in Japan Maritime Self-Defense Force (JMSDF)

Abstract

The author examines the MH-53E helicopter maintenance policy in view of the JMSDF's concern. The maintenance data from December 1989 through June 1993 was examined using descriptive statistics and multiple regression analysis. In particular, the manpower reallocation, learning-effect and adequacy of spare- parts are discussed in this context. The study indicates successful maintenance practice in reducing the unscheduled maintenance hours and awaiting supply hours. A statistically significant learning effect was not observed using the existing available data set. The regression analysis has identified statistically significant factors that explain the behavior of the mission- capable hours and the maintenance-work hours. Two policy recommendations are formulated: The first is a need for a more flexible manning policy that reflects and incorporates the actual maintenance experience and requirement. The study proposes a more dynamic and flexible manning policy based on actual requirements and experience. The second recommendation deals with a need for more detailed costs and manpower data to achieve MSDF-wide cost-effective resource allocation. For the maintenance policy to be cost-effective, it is imperative to develop such a data set.

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1994
Accession Number
ADA283657

Entities

People

  • Toshihiko Motohashi

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • Air Platforms
  • Materials and Manufacturing Processes
  • Weapons Technologies

DTIC Thesaurus Topics

  • Aircrafts
  • Data Analysis
  • Data Sets
  • Descriptive Analytics
  • Helicopters
  • Information Science
  • Mainframe Computers
  • Maintenance
  • Maintenance Management
  • Maintenance Personnel
  • Military Budgets
  • National Security
  • Organizational Structure
  • Regression Analysis
  • Spare Parts
  • Statistical Analysis
  • Statistics

Readers

  • Educational Psychology
  • Logistics and Supply Chain Management.
  • Regression Analysis.