Mendix for Aerospace & Defense

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Mendix for Aerospace & Defense

OEMs and suppliers need to keep pace with evolving customer expectations, shifting global powers, and changing industry dynamics.

Facing the shadow of technology

Accelerate innovation and increase efficiency to meet rising customer expectations and growing program complexities.

Differentiate to compete

Technology is making the industry accessible to new players, placing increased pressure on incumbents to revolutionize their R&D practices. Established providers need to invest in order to differentiate themselves.

Demand exceeds rate of supply

Additive manufacturing is increasingly becoming a valued part of the production process as its reliability improves. Giving OEMs the freedom to produce parts on demand.

Aging workforce stalls innovation

There is a growing skills gap to manage legacy systems in languages that are no longer used as the experts near the end of the careers. Skills shortages, a lack of new talent, and rising training costs i are stifling innovation and growth.

Growing silos of unmanaged data

Siloed data is creates a problem on two fronts. Data saved in multiple locations is difficult to govern and locate, which increases inefficiency and risk. If your data is organized and easily accessible it makes it more difficult to analyze effectively, leaving you at a disadvantage when it comes to making data-driven decisions.

Low-code enables adaptive flexibility

Mendix helps leading aerospace & defense companies find innovative ways to minimize costs and cut time to market, while optimizing product performance.

The digital twin is a precise virtual model of a product or a production plant. It displays development throughout the entire lifecycle and allows operators to predict behavior, optimize performance, and implement insights from previous design and production experiences.

You can gain tremendous value from exploring "What if?" scenarios and predicting future performance with the digital twin. The ultimate goal of the digital twin is in the closed-loop connection between the virtual world of product development and production planning with the physical world of production system and product performance.

Through this connection you can gain actionable insight from the physical world that wilt fuel informed decisions throughout the lifecycle of products and production operations.

What can you get done with Mendix?

  • Modernize Legacy Systems. Fast.

    Improve your operational efficiency through leveraging emerging technologies such as IoT, and create a more efficient workforce.

  • Unlock data in your core systems

    Manage your processes with a full digital twin, from architecture through to construction.

  • Streamline your supply chain interactions

    Digitize and update every part of the supply chain to have the biggest impact on overall efficiency.

  • Accelerate innovation

    Make it possible for anyone with a really great idea to have an impact on the business.

What can you make with Mendix?

See what your peers have built with the platform in our Solutions Gallery.

  • Smart Fleet Management

    Fleet Manager combines condition monitoring data from connected vehicles in the field with anomaly detection, predictive modeling and analytics, service management data, and field service mobilization.

  • Service and Maintenance Management

    Achieve a digital thread by combining the power of asset management with Product Lifecycle Management and IoT connectivity, breaking functional silos and enabling real-time visibility.

  • Simcenter WebApp

    Simcenter WebApp offers an easy-to-use and cost-effective solution to designing products. This server-client, web-based application provides access to end-user-specific simulation results thanks to pre-defined model parameterization.

  • Intelligent Field Services Planning

    Automatically plan maintenance & repair work, taking into account SLA, qualifications, lawful obligations, and skills. Intelligently adapt to real-time changes, while still offering the control to plan for edge cases.