Benchmarking framework for command and control mission planning under uncertain environment

As the core of the military information system, the command and control (C2) mission planning suffers from the high complexity, environmental uncertainty. To address this problem, many studies highlight the agility and resilience of C2-organizations and propose many solutions. However, there is no benchmark to compare these models and methods. In order to understand such organization’s dynamic and emergence behaviors, this paper presents a benchmark framework of C2 decision-making under uncertainty environment. This is a basic case on multi-force joint operation. We present an optimization model and a horizon partition algorithm aimed to plan an optimal organizational structure with higher operational flexibility, low cost and high performance. Finally, we explore the main traditional models on the benchmark case. The result shows the proposed model is competitive under uncertain environment. © 2019, Springer-Verlag GmbH Germany, part of Springer Nature.