Predictive Analytics / Modeling & Simulation
Abstract
The Predictive Analytics, Modeling & Simulation Line of Effort (PAM) includes R&D efforts within the Logistics Technology Research (LTR) program. The focus of LTR is to develop predictive analytic solutions by applying AI/ML algorithms to data obtained from DLA and external sources which can help solve high-impact problems, improve business operations, and provide actionable strategies for optimized business decisions. Through the development of decision support tools, such as modeling, simulation, and other analytics to improve operational strategy decision-making, forecasting, and procurement, DLA will achieve more effective and efficient responses to emerging market and customer requirements. The objectives for this LOE include: 1. Leverage technological solutions for data analytics and integration for demand projections and supply chain risk management. 2. Data analytics integration for DLA, the military services and industry: allows businesses and vendors to aggregate data, analyze it, and transform it into useful information. 3. Explore emergent technologies in quantum computing and edge computing to enable advanced analytics.
Document Details
- Document Type
- Project
- Publication Date
- Oct 01, 2025
- Source ID
- PAM_0603712S_3_0400_PB_2025