Lockheed Martin Accelerates Next-Gen Capabilities with Digital Thread Collaboration

We are launching a micro case series showing how targeted workflow fixes recover hours and dollars in aerospace and manufacturing. Each post presents one common bottleneck, a before/after metric (efficiency gain and compliance alignment), and the analytics behind the result. See how our data-driven process mapping produced measurable throughput improvements for engineering and production teams. Learn more: https://wix.to/oAO0CxH #OperationsExcellence #ProcessImprovement #AerospaceManufacturing

Lockheed Martin and their latest article on "Enabling a New Level of Precision in a Model-Based Enterprise" reinforces a key message for digital engineering: persistent identifiers are fundamental to a trusted Digital Thread. This is exactly where ISO 10303 AP242 (STEP) plays a crucial role. AP242 provides standardized, semantically rich engineering data, including 3D models, PMI, product structure, configuration information, and persistent identifiers, that enable interoperability across the entire product lifecycle. As Model-Based Enterprise initiatives continue to evolve, the importance of open international standards becomes even clearer. AI can accelerate engineering, but trusted, interoperable data remains the foundation. At Jotne Connect, we see ISO 10303 AP242 as a key enabler for connecting design, manufacturing, quality, sustainment, and digital twins, without vendor lock-in. https://lnkd.in/esBDb5bV ISO - International Organization for Standardization #ISO10303 #STEP #AP242 #MBE #DigitalThread #DigitalEngineering #Interoperability #Aerospace #Defence

The future of fleet readiness depends on more than maintaining inventory—it requires rethinking how we engineer, manufacture, and sustain critical assets. Our latest white paper, "Enabling Fleet Readiness Through AI-Enabled Engineering and Distributed Advanced Manufacturing," explores how artificial intelligence, digital engineering, and expeditionary advanced manufacturing can transform sustainment by enabling mission-critical parts to be identified, engineered, repaired, and produced closer to the point of need. Inside, we discuss: ⚙️ AI-enabled engineering and reverse engineering workflows 📦 Distributed advanced manufacturing in contested and remote environments 🚢 Digital maritime sustainment ecosystems 🔧 Reducing supply chain dependencies while improving operational readiness 🤝 The role of industry-government collaboration in accelerating next-generation sustainment capabilities As operational environments become increasingly complex, digital sustainment and point-of-need manufacturing are no longer future concepts—they are becoming mission requirements. Download the white paper to learn how these technologies can help shape the future of fleet readiness. https://lnkd.in/eAvV32qz #FleetReadiness #AdvancedManufacturing #ArtificialIntelligence #DigitalEngineering #AdditiveManufacturing #Maritime #DefenseInnovation #ContestedLogistics #PointOfNeedManufacturing #SnowbirdTechnologies

The future of fleet readiness depends on more than maintaining inventory—it requires rethinking how we engineer, manufacture, and sustain critical assets. Our latest white paper, "Enabling Fleet Readiness Through AI-Enabled Engineering and Distributed Advanced Manufacturing," explores how artificial intelligence, digital engineering, and expeditionary advanced manufacturing can transform sustainment by enabling mission-critical parts to be identified, engineered, repaired, and produced closer to the point of need. Inside, we discuss: ⚙️ AI-enabled engineering and reverse engineering workflows 📦 Distributed advanced manufacturing in contested and remote environments 🚢 Digital maritime sustainment ecosystems 🔧 Reducing supply chain dependencies while improving operational readiness 🤝 The role of industry-government collaboration in accelerating next-generation sustainment capabilities As operational environments become increasingly complex, digital sustainment and point-of-need manufacturing are no longer future concepts—they are becoming mission requirements. Download the white paper to learn how these technologies can help shape the future of fleet readiness. https://lnkd.in/eYe5NUVT #FleetReadiness #AdvancedManufacturing #ArtificialIntelligence #DigitalEngineering #AdditiveManufacturing #Maritime #DefenseInnovation #ContestedLogistics #PointOfNeedManufacturing #SnowbirdTechnologies

The 2026 Gartner Market Guide for MES makes one thing clear: in aerospace and defense, strict regulatory compliance, engineering-grade traceability, and uncompromising data integrity demand more than GenAI can offer. Our latest blog unpacks what that means for A&D manufacturers, why purpose-built design is a non-negotiable for AI in A&D, and the three parameters that determine whether it can be trusted on your shop floor. Read more at: https://lnkd.in/gtQyERKR

Some of the world's most valuable manufacturing knowledge has never been written down. As experienced workers retire, decades of expertise risk disappearing with them, creating a growing challenge for industries like defense and advanced manufacturing. In our latest blog, The Ghost in the Machine, we explore why preserving this "tribal knowledge" is becoming increasingly important and how AI-native, full-stack manufacturing systems can help capture critical expertise before it's lost. Read the full article: https://lnkd.in/ed23diU5 #AlumniVentures #DefenseTech #AdvancedManufacturing #ArtificialIntelligence

Northrop Grumman’s Q2 results prove a critical point for defense primes: A record $104.7B backlog isn't enough if program margin pressures and cost overruns eat your bottom line. As defense leaders scale major programs like Sentinel, B-21, and SiAW, managing multi-tier supply chain execution is no longer just a logistics task—it's a balance-sheet imperative. The Strategic Advantage for Primes Partnering with advanced 3D visual analytics platforms gives defense companies the edge to protect margins and convert backlogs faster: Prevent Margin Erosion: Turn complex supplier telemetry into 3D visual analytics to spot cost creep, component bottlenecks, and lead-time anomalies before they trigger EAC write-downs. Deep N-th Tier Illumination: Visually model multi-tier subcontractor networks in multi-dimensional space to isolate single points of failure, foreign dependencies (FOCI), and material shortfalls long before assembly. Explainable "What-If" Modeling: Run real-time disruption scenarios to reallocate resources dynamically and keep flagship programs on schedule. The Value to the Department of War For military leadership, prime adoption of predictive AI bridges the gap to true operational readiness: Mission Availability: Eliminates supply-side surprises to ensure strategic platforms deliver on timeline. Audit-Ready Integrity: Unifies hardware (HBOM) and software (SBOM) data for clear, verifiable compliance across deep supplier networks. Industrial Resilience: Reduces systemic risk across the industrial base by giving leadership real-time visibility into mission-critical supply networks. Seeing supply chain risk in high fidelity before it hits program execution is the difference between margin compression and mission success. #DefenseTech #SupplyChain #PredictiveAnalytics #DepartmentOfWar #DefenseIndustrialBase #AI #OperationalReadiness #NationalSecurity #DefenseContracting

From simulating mission-critical systems to optimizing factory performance, AI-driven digital twins are revolutionizing how defense manufacturing plans, predicts, and performs. These virtual models are more than replicas—they're engines of innovation. Discover how this technology is enhancing readiness, speed, and scalability. #DigitalTwins #AIinManufacturing #DefenseInnovation #SmartManufacturing #MilitaryTech #FutureOfDefense https://lnkd.in/ebcyxCKg

An aerospace manufacturer had successfully deployed a digital traveler for a complex assembly. The application linked work instructions, configuration data, inspection evidence, and as-built records. The pilot team demonstrated faster record retrieval and fewer documentation errors. The deployment was declared live. #digitalfactories #DigitalTransformation #Smartfactory #SmartManufacturing

An aerospace manufacturer had successfully deployed a digital traveler for a complex assembly. The application linked work instructions, configuration data, inspection evidence, and as-built records. The pilot team demonstrated faster record retrieval and fewer documentation errors. The deployment was declared live. #digitalfactories #DigitalTransformation #Smartfactory #SmartManufacturing