MDDV: AI-Enabled CBM+ Digital Sustainment Platform for Predictive Maintenance and Readiness Optimization

CBM+/Predictive Maintenance

Department of War weapon systems face increasing readiness challenges driven by aging fleets, maintainer shortages, fragmented technical data, and reactive maintenance practices. While Condition-Based Maintenance Plus (CBM+) initiatives have improved equipment health monitoring, many sustainment organizations still struggle to transform maintenance data into actionable intelligence at the point of maintenance execution. Critical information from diagnostic systems, technical orders, troubleshooting procedures, and maintainer observations often remains isolated across multiple systems, limiting predictive maintenance effectiveness and slowing corrective actions.

American Data Solutions’ Multipurpose Digital Data Viewer (MDDV) addresses this challenge by transforming technical data into an integrated digital sustainment ecosystem that directly supports CBM+ and predictive maintenance objectives. MDDV combines technical publications, diagnostics, troubleshooting procedures, maintenance analytics, and maintainer workflow capture into a single operational environment accessible from any authorized device without local software installation.

Unlike traditional IETM solutions that primarily display maintenance content, MDDV continuously captures maintenance execution data, troubleshooting paths, repair durations, recurring discrepancies, and maintainer actions. These data are converted into actionable sustainment intelligence, enabling organizations to identify emerging failure trends, recurring subsystem degradation, procedural inefficiencies, and fleet-wide reliability issues before they impact readiness.

MDDV supports S1000D, SGML, DITA, PDF, video, engineering drawings, and interactive wiring schematics, allowing rapid modernization of legacy technical data without costly source-data replacement. AI-enabled search, dynamic troubleshooting workflows, contextual maintenance history, and interactive schematics help maintainers isolate faults faster, improve repair accuracy, and preserve critical organizational knowledge.

The platform directly advances Department of War sustainment priorities by improving maintenance effectiveness, accelerating predictive maintenance adoption, and increasing operational readiness. Independent analysis by the University of Dayton Research Institute estimated MDDV can reduce maintenance action times by approximately 20–30 percent, resulting in improved mission-capable rates, reduced maintenance man-hours, lower sustainment costs, and faster depot throughput.

Operationally mature and demonstrated in military and commercial aerospace sustainment environments, MDDV is deployment-ready today. By bridging the gap between equipment health monitoring and maintenance execution, MDDV enables the Department of War to fully realize the promise of CBM+, predictive maintenance, and data-driven readiness generation.