Logistics Operations Command and Control Capability Concept (LOCCC), developed by Jeff Grelson in 2000, introduces a new distribution principle to combat elements. This concept employs a supporting logistics unit in a general support role and controls it by a unique command center in order to minimize the footprint left by logistics, improve logistic and tactical responsiveness, and reduce the "iron mountain" on the battlefield. This thesis revisits the mathematical models and algorithms developed by Major Thomas Lenhardt to model LOCCC. We preprocess the network topology in order to convert it into an equivalent, simplified network that is computationally tractable with the existing optimization model by using exact and heuristic algorithms. We show that the simplifications and enhancements we propose help us to obtain much faster and better quality solutions than using the original, non-simplified networks. For example, in a ten-minute run, we can obtain a solution that is 98% better in some cases. We also apply the model to a Turkish Infantry Brigade to evaluate LOCCC with sustainment requirements and transportation assets of the Turkish Army.
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