Operating Status
FULLY OPERATIONAL
OPERATING STATUS
Updated 3/24/2017
AAM is a Readiness-Based Sparing (RBS) optimization model that computes the least cost mix of spares to achieve a given system availability target. It can also be used to provide the most effective spares list given a constrained budget. It is a standard Air Force model for computing peacetime replenishment spares and has been used to estimate spares requirements for various acquisition programs. It is used for Readiness Based Sparing (RBS) IAW DoD 4140.1-R, which mandates use of RBS where feasible for organic weapon system provisioning requirements. The model is available in a desktop implementation that provides database management and reporting capabilities.
Note: This tool has no direct link. Please refer to the more information section below for contact details.
For more information
E-mail: [email protected]
POC: HQ AFMC/A9A, (937) 257-6810, DSN 787-6810; or (937) 257-6920, DSN 787-6920 or (937) 986-0405, DSN 656-0405 for access
Processes Supported
Departments Associated
Integrated Product Support Elements Addressed
DisclaimerThis tool was identified as part of a product support analytical tools database provided solely to assist defense acquisition workforce professionals to identify best value product support solutions which optimize system readiness and life cycle cost. Neither the Department of Defense or the Defense Acquisition University provide any warranty of these tools whatsoever, whether express, implied, or statutory, including, but not limited to, any warranty of merchantability or fitness for a particular purpose or any warranty that the contents of the item will be error-free. This analytical tools database should under no circumstances be considered as being all-encompassing, and is in no-wise meant to endorse the capabilities or products of any particular individual, company, or organization.
Required fields marked with *
Please note that you should expect to receive a response from our team, regarding your inquiry, within 2 business days.