Accession Number : ADA316799
Title : The Queuing Manpower Model (QMAN).
Descriptive Note : Final rept. Sep 92-Dec 94,
Corporate Author : ARMSTRONG LAB WRIGHT-PATTERSON AFB OH HUMAN RESOURCES DIRECTORATE
Personal Author(s) : Grobman, Jeffrey H. ; Quick, David M. ; Weaver, William M.
PDF Url : ADA316799
Report Date : FEB 1996
Pagination or Media Count : 57
Abstract : The Queuing Manpower Model (QMAN) is an analytic personal computer (PC) based model for the determination of maintenance manpower requirements. The model applies a queuing algorithm to Air Force Specialty (AFS)/crew size clusters to determine necessary manning to meet flying demands. This value is then compared to work load and crew size manpower demands to determine actual requirements. The Turbo Pascal implementation of QMAN provides rapid manpower estimations that compare favorably with the Air Force standard maintenance manpower model, the Logistics Composite Model (LCOM). The inherent speed of an analytic model, such as QMAN, contrasts with the lengthy run-times required by large and complicated Monte Carlo simulations like LCOM. These lengthy run-times lead to lengthy analysis due to the need for multiple simulation runs before "optimal" manpower requirements can be determined. QMAN makes possible various types of analyses that were not previously feasible due to LCOM time demands. Examples of these include the determination of the effect of increased maintainer productivity, shorter flying days, changing wing structure, and alternative occupational structures on manpower requirements. Additionally, QMAN serves as a tool for assessing and reducing manpower costs for aircraft systems under development or modification.
Descriptors : *QUEUEING THEORY, *AIRCRAFT MAINTENANCE, *MANPOWER UTILIZATION, COMPUTERIZED SIMULATION, MILITARY REQUIREMENTS, LOGISTICS MANAGEMENT, MONTE CARLO METHOD, MAINTENANCE PERSONNEL, AIR FORCE PERSONNEL, WORKLOAD, PASCAL PROGRAMMING LANGUAGE.
Subject Categories : Personnel Management and Labor Relations
Logistics, Military Facilities and Supplies
Distribution Statement : APPROVED FOR PUBLIC RELEASE