An Assignment Model for Lateral Transfers Matching Base Repair Facilities to XF3 Coded NSNs Requiring Repair

Author

George D. Valaika

Date of Award

3-2024

Document Type

Thesis

Degree Name

Master of Science in Operations Research

Department

Department of Operational Sciences

First Advisor

Nicholas T. Boardman, PhD

Abstract

This research addresses challenges in efficiently distributing reparable National Stock Numbers (NSNs) to base-level repair facilities, aiming to ease strain on depot resources. It establishes a network integrating bases with similar repair capabilities for NSNs and allocates NSNs to balance repair capacities. Drawing from USAF reparable inventory modeling and inventory management theory, it generates data mimicking historical data to maximize total expected part repairs by assigning NSNs based on the best percentage of base repair (PBR).

AFIT Designator

AFIT-ENS-MS-24-M-099

Comments

A 12-month embargo was observed for posting this work on AFIT Scholar.

Distribution Statement A, Approved for Public Release. PA case number on file.

Recommended Citation

Valaika, George D., "An Assignment Model for Lateral Transfers Matching Base Repair Facilities to XF3 Coded NSNs Requiring Repair" (2024). Theses and Dissertations. 7731.
https://scholar.afit.edu/etd/7731