Smart Factory
Smart Manufacturing Thanks to Connected Data.
Smart Factory: The Path to Tomorrow's Connected Production
The Smart Factory makes production more transparent, flexible, and efficient. Machines, equipment, systems, and employees are intelligently interconnected. Data is not only collected but also used strategically to improve processes, prevent downtime, and make decisions more quickly. The goal is increasingly self-managing production that ensures quality, conserves resources, and can respond flexibly to changes.
But the path to achieving this is challenging. The status quo in many companies: data silos, legacy IT structures, and a heterogeneous system landscape in both production and IT. This is exactly where MaibornWolff comes in: We develop smart factory solutions that fit your existing landscape, break down data silos, and guide your manufacturing step by step toward a connected, future-proof production system.
Your Smart Factory Deserves the Right Partner
MaibornWolff combines many years of Industry 4.0 experience with in-depth expertise in IIoT, the cloud, data & AI, embedded systems, and custom software development. It’s not just about technical implementation—it’s about solutions that remain viable in operation, are embraced by your teams, and deliver measurable benefits. These principles shape our work:
A smart factory requires more than just connected machines. We combine technical implementation with business consulting and develop solutions tailored to your production goals.
New technologies are changing workflows. To ensure that systems remain understandable and easy to use in the future, we incorporate usability, user acceptance, and change management into our planning from the very beginning.
We connect machines, data flows, and existing systems so that your smart factory functions as a unified system. This ensures that information is accessible throughout the entire system rather than being visible only in isolated areas.
Your teams will be actively involved and will gradually build up their own smart factory expertise. This will make it easier to operate, further develop, and scale new applications later on.
We chose MaibornWolff because they focus on the users—on people.
These companies already rely on MaibornWolff
Why Smart Factory Solutions Are Worth It for You
Smart factory solutions lay the foundation for connected, transparent, and more efficient production. When machines, systems, and data communicate with one another, added value is created in the following areas:
Costs
A smart factory reduces operating costs through more precise resource management. Predictive maintenance helps prevent costly downtime.
Digitization
Paper- and Excel-based processes are being replaced by more efficient, digital workflows. This results in
automated data transfer to ERP systems.
Product
Modular production lines and data-driven demand planning help companies respond more quickly to market trends and customer preferences.
Resources
Smart systems ensure optimal energy use in production and warehousing. Maintenance tailored to actual needs reduces material consumption.
Quality
Real-time data and AI-powered analytics help identify deviations and quality issues early on.
Data Base
A smart factory creates a unified, scalable platform for all manufacturing data.
Our Smart Factory Services: Intelligent Manufacturing from A to Z
A smart factory is the physical factory of the future: highly automated, connected, and data-driven. Machines, systems, and products communicate autonomously and optimize processes on their own. Our range of services covers four key components—from infrastructure to data analysis.
IIoT Platform Development and Infrastructure
We develop a robust IIoT foundation for your smart factory:
- Scalable data infrastructures: We build a technical foundation that grows with your production—from individual lines to site-wide data volumes.
- Unified Namespace Implementation: The UNS brings status, process, and quality data from various sources and systems into a unified, semantically understandable structure and makes it available in real time for downstream applications.
- Machine Integration: We connect your machines and equipment—whether old or new—to the data infrastructure so that status and process data can be consistently captured.
Digital Production Processes
We develop customized digital solutions to optimize your production processes:
- Connected Worker: Digital applications that support your employees directly on the production line—for example, with digital work instructions, checklists, or real-time feedback on production status.
- Paperless Manufacturing: We digitize paper-based processes such as inspection reports, shift handoffs, or work instructions and make them available directly at the machine.
- Digital Lean: Classic Lean principles—such as waste reduction and continuous improvement—implemented using digital tools.
Production Management
We ensure more efficient control and optimization of your production:
- Modular MES solutions: Instead of rigid, off-the-shelf software, we develop Manufacturing Execution System (MES) modules that are precisely tailored to your processes and can be flexibly expanded.
- Just-in-time applications: Digital solutions that manage material requirements and production steps to reduce inventory and wait times.
- Quality assurance and documentation: Systems that comprehensively record and document inspection steps, deviations, and approvals—ensuring traceability and audit compliance.
Data Analysis and AI/ML
We’ll work with you to uncover your potential for greater transparency and efficiency:
- AI/ML in Production: AI and machine learning models identify patterns and anomalies in production data that would be nearly impossible to detect manually.
- Demand Prediction: Data-driven forecasts of future demand that enable proactive production and capacity planning.
- Energy Monitoring: Continuous tracking and analysis of energy consumption for individual machines or production lines to identify potential savings. ul>
Our References and Projects in the Smart Factory Sector
How does a traditional manufacturing facility become a smart factory? Our case studies provide insights into projects where we guide companies along exactly this path: from IoT platforms in mechanical engineering to AI-powered production planning and the digital collection and analysis of production metrics. Together with our customers, we develop solutions that intelligently connect machines, data, and processes. See for yourself!
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About the Monitoring ReferenceA New Approach to Workplace Safety: Live Monitoring and Management of Gas Detectors in the CloudCybersecurityEmbedded Systems & RoboticsIoTAbout the Monitoring ReferenceCloud Platform for Live Monitoring and Management of Mobile Gas Detectors
About the Monitoring ReferenceCloud-native microservices, IoT gateway, scalable Kubernetes backend (Azure)
About the Monitoring ReferenceReal-time alerts worldwide in under 10 seconds, 140,000+ devices
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To the MAN referenceMAN - ATLAS L4. Control Center for the autonomous truckCloudData/Data PlatformsAppsTo the MAN referenceControl center for the technical monitoring of driverless trucks
To the MAN referenceUX design, product strategy, data structure, vehicle data visualization
To the MAN referenceMonitoring, remote support, mission management, reports for commercial autonomous transport solutions
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To the NETZSCH referenceNETZSCH: Development of an IoT platformCloudData/Data PlatformsIoTTo the NETZSCH referenceUnified IoT platform for 3 business units, harmonization of existing IoT solutions
To the NETZSCH referenceIoT device connectivity, visualization software for data analysis, cloud infrastructure, operations
To the NETZSCH referenceQuick testing in the cloud infrastructure, fast integration of use cases such as predictive maintenance, process optimizations, etc.
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See robotics referenceResearch: AI-supported robotics for employees with physical limitationsEmbedded Systems & RoboticsIndustry 4.0ManufacturingSee robotics referenceCustomized assistance robots for people with physical disabilities in production
See robotics referenceIntegration of AI for automated adaptation of robots to people's capabilities
See robotics referenceEffective empowerment of people with physical disabilities
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See Siemens referenceSiemens: AI demand prediction platform for industrial production planningCloudData/Data PlatformsIndustry 4.0See Siemens referenceMachine learning for time series forecasting
See Siemens referenceAutoML for automated adaptation of models to different data
See Siemens referenceUnified, scalable solution, optimized inventory costs, efficiency gains
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See VW referenceVW: Digitization of key production figures with the iProcess appData/Data PlatformsAppsIndustry 4.0See VW referenceReplacement of analog, error-prone activities with a digital app solution
See VW referenceDigital design, cloud-native technologies, UX concept, UI design, front- & backend
See VW referenceMore transparency in production processes, higher production OEE, across plants
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See Miele referenceMiele domestic appliances are networked worldwideCloudIoTEmbedded Systems & RoboticsSee Miele referenceFurther development of the IoT platform for connected home appliances
See Miele referenceContainer-based architecture, open standards, modular design
See Miele referenceQuick availability & scalability of digital services, high added value for users
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See ifm services referenceifm services: Remote maintenance of systems and machinesCloudIoTEmbedded Systems & RoboticsSee ifm services referenceFully integrated remote access in the IoT platform
See ifm services referenceFull stack cloud application, RUST-based clients, UX design
See ifm services referenceAnalysis of sensor data from production as a basis for sustainable decisions for customers
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See referencePlanning systems: Optimizing the capacity utilization of pressing plantsData/Data PlatformsIndustry 4.0ManufacturingSee referenceCentralized planning of component manufacturing for cost- & resource-optimized production capacity worldwide
See referenceConversion from local processing with fat clients to a client-server application, migration to the cloud
See referenceData-based planning & calculation of different manufacturing scenarios & site-specific production costs
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See KUKA referenceKUKA: UI/UX design for an app for load data analysis for industrial robotsDigital Design/UX DesignData/Data PlatformsAppsSee KUKA referenceWeb app to replace legacy systems for easier interaction between users & system
See KUKA referenceConversion from local processing with fat clients to a client-server application & migration to the cloud
See KUKA referenceData-based planning & calculation of different manufacturing scenarios & site-specific production costs
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See BMW Group referenceBMW Group: Remote software upgrade for vehiclesCloudCybersecurityIoTSee BMW Group referenceSoftware upgrades without the need to visit a service center
See BMW Group referenceBackend system for over-the-air communication with the vehicle, 24/7 support
See BMW Group referenceIT security, more comfort, on-demand provision of new features
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See SMA referenceSMA: Development of a Web UI for ennexOS platformDigital Design/UX DesignIoTWeb & Portal PlatformsSee SMA referenceCreation of a unified customer experience across all products, smooth generational transition for customers, secure, agile operation
See SMA referenceWebUI for the digitalization & automation of energy management processes, open-source solution for energy flow visualization
See SMA referenceEnergy flow & cost optimization, operational reliability, customer-friendliness
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See Weidmüller referenceWeidmüller: Progression of the Industrial Service PlatformCloudIoTWeb & Portal PlatformsSee Weidmüller referenceCreation of a centralized, intuitive, expandable portal as the foundation for industrial applications (remote access, data visualization, ML)
See Weidmüller referenceExploration, setup & further development of the base platform for industrial services
See Weidmüller referenceInnovative portal for end-to-end solutions, MVP in just 7 months
Smart Factory Workshops for Beginners
Together, we’ll steer your production toward a smart future. To get started, we offer a variety of workshop formats tailored to your current level of digitalization and your specific questions.
Orientation Workshop
We'll show you the latest smart factory technologies and assess your level of digitalization.
Duration: 1–2 days
Potential Analysis Workshop
We identify smart factory opportunities to address your current challenges—including quick wins and an ROI estimate.
Duration: 2 days or more
Use Case Ideation Workshop
We identify smart use cases for your business and provide an informative one-pager for each one.
Duration: 2–3 days
ROI Workshop
Together, we'll estimate the ROI of your use case and determine the initial and ongoing infrastructure costs.
Duration: 1 day
IIoT Assessment
We refine your product vision, define the MVP scope and target architecture for your IIoT platform, select the technology stack, and plan your roadmap.
Duration: 1 day
AI-DATA Thinking Workshop
Together, we'll analyze your AI potential and identify specific use cases for your production.
Duration: 1 day
Security Audit
We help make your factory more secure and explain the key factors of cybersecurity: resilience, compliance, and continuity.
Duration: 2 days or more
Your Path to the Smart Factory with MaibornWolff
A smart factory is built step by step. Before new technologies are introduced, you need a clear vision, reliable data, and an understanding of existing processes. MaibornWolff helps you lay this foundation and, building on it, develop sustainable smart factory solutions.
1. Understand the Current Situation and Define Objectives
The first step is to determine where smart factory solutions will deliver the greatest benefits for your company. We analyze your production processes, data flows, system landscape, and current level of automation. Based on this analysis, we develop specific use cases, a prioritized roadmap, and a viable vision for your smart factory.
2. Integrate technologies and make data usable
MaibornWolff doesn’t rely on a one-size-fits-all approach to digitalization. Instead, we develop solutions that fit your existing IT and production landscape. We focus on scalable architectures, stable interfaces, and technologies that can be expanded step by step.
A well-thought-out data strategy forms the foundation for this. Using concepts such as a unified namespace, relevant information is made centrally available and usable by various applications. Thanks to proven technology, we build MVPs that are ready for production and deliver real value to your business right from the start.
3. Empower employees and further develop solutions
To ensure the successful implementation of the Smart Factory in your company, MaibornWolff involves your employees early on. Transparent communication, hands-on training, and confidence in using new technologies foster acceptance and strengthen digital competence within your company. Together, we lay the foundation and empower you to continue developing your Smart Factory independently.
Development does not end after implementation. MaibornWolff views the Smart Factory as an ongoing process. Solutions are regularly reviewed, adapted, and expanded. A modular structure makes it possible to add new features step by step and allow AI models to continuously learn from real-world data.
Let's make your smart factory a reality
With 9 years of Industry 4.0 experience and more than 60 successfully implemented projects, MaibornWolff understands the challenges of modern production environments. We support you not only strategically but also in the actual implementation: pragmatically, with an open approach to technology, and with a clear focus on measurable results. Together, we develop smart factory solutions that make your manufacturing more flexible, productive, and sustainable.
FAQ: Frequently Asked Questions About the Smart Factory
What is a smart factory?
A smart factory is a fully connected and flexible production environment in which machines, systems, and people communicate with one another in real time. Sensors, data analysis, and intelligent control make it possible to automatically optimize processes. The result: more efficient lead times, less scrap and downtime, and significantly greater transparency across your entire manufacturing operation.
Can existing systems be integrated into a smart factory?
Yes. A smart factory does not require a completely new set of machinery. Existing plants, machines, and systems are often integrated step by step. With targeted retrofitting, modern sensor technology, and stable interfaces, even older systems can be made IIoT-capable. This allows you to gather valuable production data without having to overhaul your entire manufacturing process. During an assessment, we determine which components are particularly well-suited for networking and where the greatest economic benefits can be realized.
Is a smart factory also worthwhile for small and medium-sized businesses?
A smart factory has long since ceased to be economically viable only for large corporations. Thanks to scalable IIoT platforms and modular cloud architectures, you don’t need a budget in the millions to achieve measurable results. We’ll start by working together on a clearly defined pilot project. This way, you’ll see early on what works, minimize risk, and expand the solution iteratively.
What smart factory solutions are available?
Smart factory solutions can be divided into three interrelated layers: infrastructure, data layer, and application layer. At the infrastructure level, machines and systems are networked, and the technical foundation is established. The data layer ensures that this data—for example, via a unified namespace —is placed within a common context and made usable. Finally, at the application layer, the specific solutions that create added value in day-to-day production are developed: from digital production processes such as Connected Worker and modular MES solutions to data analysis and AI/ML for demand prediction or energy monitoring.