A framework for optimizing sustainment logistics for a US Army infantry brigade combat team

Abstract

Purpose – The purpose of this paper is to help optimize sustainment logistics for US Army brigade combat teams, which may face challenges in transporting their assigned assets. Design/methodology/approach – This paper develops a simulation framework with an integrated integer programming optimization model. The integer-programming model optimizes sustainment outcomes of supported battalions on a daily basis, whereas the simulation framework analyzes risk associated with shortfalls that may arise over the entire duration of a conflict. Findings – This work presents a scenario reflecting the steady resupply of an infantry brigade combat team during combat operations and presents an in-depth risk analysis for possible fleet compositions. Originality/value – The risk curves obtained allow decision-makers and commanders to optimize vehicle fleet design in advance of a conflict.

Keywords

• us army
• infantry brigade combat team
• sustainment logistics
• integer programming
• simulation