Summaries - Office of Research & Innovation
Back Supply & Maintenance Predictive Modeling and Simulation Analysis Tool
|Division||Research & Sponsored Programs|
|Department||NPS Naval Research Program|
|Sponsor||NPS Naval Research Program (Navy)|
We will address the problem that current Marine Corps logistics information systems do not possess predictive modeling & simulation tools that integrate and capitalize on existing logistic and intelligence data to aid in logistical planning efforts to support a Marine Air-Ground Task Force(MAGTF).
This problem is especially challenging because such a unitâ¿¿s structure (Table of Organization and Equipment) may include a large of parts, each one has specific need for the duration and frequency of manpower and equipment for maintenance. Based on history data, a predictive model in this domain needs to compute the most probable parts (failure rates/demand history/available manpower) to support the unit's operation in normal condition. A simulation needs to create an added condition or such as an IED blast, desert environment, and corrosion considerations to compute â¿¿deltaâ¿ for replenish based on the perturbation condition. Gathered logisitics and intelligence data would feed the system to provide extra data to predict such â¿¿delta.â¿ Since there might be no historical data available for simulated new conditions, traditional predictive modeling and simulation analysis might not be directly applicable, we propose to look at the simulation data to modify the demand model based on machine learning such as reinforcement learning, unsupervised learning, and graph theory.We will also with the sponsor to ensure the system capable of computing "replenishment on the move" to marry up and mainly support Marine Expeditionary Units, SPMAGTFs, and concepts such as Expeditionary Advanced Based Operations.
|Publications||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|
|Data||Publications, theses (not shown) and data repositories will be added to the portal record when information is available in FAIRS and brought back to the portal|