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Book Developing a Standard Update Process for the Army s Annual MOS Availability Factors  AMAFs

Download or read book Developing a Standard Update Process for the Army s Annual MOS Availability Factors AMAFs written by Matthew W. Lewis and published by Rand Corporation. This book was released on 2007 with total page 87 pages. Available in PDF, EPUB and Kindle. Book excerpt: This documented briefing describes research conducted to develop a standard methodology for updating the U.S. Army's Annual Military Occupational Specialty (MOS) Availability Factors (AMAFs). An AMAF specifies the amount of direct and indirect productive time (over the course of a year) that a soldier has available to perform MOS duties. Traditionally, the Army has calculated AMAFs by measuring soldiers' non-available hours per day, treating the remainder of the 24 hours as available time, and annualizing that available time figure. Largely through field data collection, the Army identified specific "non-availability factors"--That is, the non-MOS-related activities that constitute non-available time -- and measured how much time soldiers allocate to each of those activities. Because the process is costly and time-consuming, however, regular AMAF updates have not been feasible. Through a combination of literature reviews and interviews, the authors examined other military services' and commercial firms' approaches to manpower availability, as well as advantages and disadvantages of various data-collection approaches. This process helped them generate an alternative methodology that may allow more regular AMAF updates -- and ultimately yield more accurate calculations of manpower requirements. This document synthesizes the relevant information they gathered and presents the approach generated on the basis of that information. The proposed "three-gate" approach entails beginning with quick, low-cost, low-rigor data collection and moving sequentially to a moderate-speed/cost/rigor method -- and then perhaps to a slower, high-cost, high-rigor method -- if certain "triggers" indicate it is necessary to do so. This research was sponsored by the United States Army Force Management Support Agency (USAFMSA) and was conducted in RAND Arroyo Center's Military Logistics Program.

Book Developing a Standard Update Process for the Army s Annual MOS Availability Factors  AMAFs

Download or read book Developing a Standard Update Process for the Army s Annual MOS Availability Factors AMAFs written by and published by . This book was released on 2007 with total page 110 pages. Available in PDF, EPUB and Kindle. Book excerpt: This documented briefing describes research conducted to develop a standard methodology for updating the U.S. Army's Annual Military Occupational Specialty (MOS) Availability Factors (AMAFs). An AMAF specifies the amount of direct and indirect productive time (over the course of a year) that a soldier has available to perform MOS duties. Traditionally, the Army has calculated AMAFs by measuring soldiers' non-available hours per day, treating the remainder of the 24 hours as available time, and annualizing that available time figure. Largely through field data collection, the Army identified specific "non-availability factors"--That is, the non-MOS-related activities that constitute non-available time -- and measured how much time soldiers allocate to each of those activities. Because the process is costly and time-consuming, however, regular AMAF updates have not been feasible. Through a combination of literature reviews and interviews, the authors examined other military services' and commercial firms' approaches to manpower availability, as well as advantages and disadvantages of various data-collection approaches. This process helped them generate an alternative methodology that may allow more regular AMAF updates -- and ultimately yield more accurate calculations of manpower requirements. This document synthesizes the relevant information they gathered and presents the approach generated on the basis of that information. The proposed "three-gate" approach entails beginning with quick, low-cost, low-rigor data collection and moving sequentially to a moderate-speed/cost/rigor method -- and then perhaps to a slower, high-cost, high-rigor method -- if certain "triggers" indicate it is necessary to do so. This research was sponsored by the United States Army Force Management Support Agency (USAFMSA) and was conducted in RAND Arroyo Center's Military Logistics Program.