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The military aircraft maintenance turnaround process is highly complex and includes multiple interacting and parallel workflows between humans and machines. Lockheed Martin, one of the largest companies in the aerospace, defense, security, and technologies industry sought to improve decision-making in regards to the complete turnaround process and to identify process changes that could be implemented to reduce turnaround time. There are two distinct features unique to the project. One being the use of AnyLogic to model people, machines and workstations, and how they interact, which identified previously unknown workflow peculiarities. The second, a portable Android tablet application developed and tested by the team for workflow authoring and data collection that provided the input data to the process simulation model.

We are excited to announce Ford Motor Company's recent selection of AnyLogic for their simulation and modeling needs. Ford Motor Company's substantial analytics team was looking for simulation modeling technology that goes above and beyond discrete-event only tools. The analytics team working with AnyLogic will provide decision-making and problem-solving techniques for multiple industries inside Ford, such as manufacturing, finance, and supply chain. AnyLogic is proud to support Ford Motor Company. Check out the press release announced on a variety media outlets.

Gojii, developed by DecisioTech is an advanced analytics solution powered with an AnyLogic simulation engine. The concept behind Gojii is a management strategy tool that helps firms make good inventory policy decisions in the face of uncertain demand. Traditional forecasting is subject to past decisions, product positioning and current actions, often times producing unrealistic results and lacking opportunity cost calculations. Gojii does not replace any part of the operations tool set, but rather changes the mindset from a forecasting, to an opportunity mindset. The unique tool uses a system simulation model to calculate the cost curve at every point in time and allows comprehension of the feedback relationship between supply decisions and the market response over time.