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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.

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.

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.

The risk curves obtained allow decision-makers and commanders to optimize vehicle fleet design in advance of a conflict.

Each of the four objectives can be applied within the military training environment. Military training often requires that soldiers achieve specific levels of performance or proficiency in each phase of training. For example, training courses impose entrance and graduation criteria, and awards are given for excellence in military performance. Frequently, training devices, training media, and training evaluators or observers also directly support the need to diagnose performance strengths and weaknesses. Training measures may be used as indices of performance, and to indicate the need for additional or remedial training.

In this chapter, we raise awareness of the larger network in which multiteam systems (MTSs) are situated. We posit that in the complex operations conducted by military units, MTSs are not isolated entities, but rather exist in exponentially complex systems that include additional challenges for both research and practice.

An operational example involving an Army Brigade Combat Team Headquarters is presented to explain the details of the exponentially complex MTSs inherent in military operations, raise awareness about challenges that plague successful mission accomplishment, and discuss the way forward for research and practice.

The Army Brigade Combat Team Headquarters is characterized as a traditional MTS, embedded in a system of hierarchical MTSs, further embedded within a parallel structure of MTSs. Challenges inherent in these organizational structures provide direction for research and practice to address the exponentially complex meta-systems that are prevalent throughout the military.

While researchers have begun to address teams existing in larger networks, or MTSs (Mathieu, Marks, & Zaccaro, 2001), much of the existing research is based on small or isolated systems. As a result, our understanding of the meta-systems in which many of these MTSs exist is limited. This chapter provides concrete examples of an exponentially complex MTS within a military environment and highlights challenges to be addressed in both research and practice.