A bird's-eye view of a futuristic factory floor with robots, people in white lab coats, and digital data overlays in blue and red.

Smart Factory

Smart Manufacturing Thanks to Connected Data.

BMW Group Logo
DeutscheBahn_logo-2
Creditreform Logo
DERTOUR
jochen-schweizer
Dräger Logo
kuka
BMW Group Logo
DeutscheBahn_logo-2
Creditreform Logo
DERTOUR
jochen-schweizer
Dräger Logo
kuka
ProSieben_Logo_2015-2
Mercedes
Volkswagen Logo
DEKRA
stihl
Sonax_logo
Weidmüller logo
Das Logo der Bundesagentur für Arbeit
ProSieben_Logo_2015-2
Mercedes
Volkswagen Logo
DEKRA
stihl
Sonax_logo
Weidmüller logo
Das Logo der Bundesagentur für Arbeit

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:

Strategy Meets Technology

A smart factory requires more than just connected machines. We combine technical implementation with business consulting and develop solutions tailored to your production goals.

People Come First

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.

No isolated solutions

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.

Empowerment Instead of Dependence

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.

A person is wearing an elegant white shirt.
We chose MaibornWolff because they focus on the users—on people.
Dr. Bjoern Six, former Vice President of Engineering & Solution Center, Automation Products & Solutions Division, Weidmüller

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.

Two young men are sitting at a table with a laptop, having a conversation in a room flooded with light.
Schedule a no-obligation consultation with one of our smart factory experts today!

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.

abstract-linen-6

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

Production Management

Data Analysis and AI/ML

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!

  • A person wearing a high-visibility vest stands in front of a lit industrial facility at night in the fog; a reflection on the wet ground.
    A New Approach to Workplace Safety: Live Monitoring and Management of Gas Detectors in the Cloud
    About the Monitoring Reference
    CybersecurityEmbedded Systems & RoboticsIoT

    Cloud Platform for Live Monitoring and Management of Mobile Gas Detectors

    About the Monitoring Reference

    Cloud-native microservices, IoT gateway, scalable Kubernetes backend (Azure)

    About the Monitoring Reference

    Real-time alerts worldwide in under 10 seconds, 140,000+ devices

    About the Monitoring Reference
  • A fleet of self-driving trucks from MAN on a spacious test site.
    MAN - ATLAS L4. Control Center for the autonomous truck
    To the MAN reference
    CloudData/Data PlatformsApps

    Control center for the technical monitoring of driverless trucks

    To the MAN reference

    UX design, product strategy, data structure, vehicle data visualization

    To the MAN reference

    Monitoring, remote support, mission management, reports for commercial autonomous transport solutions

    To the MAN reference
  • Two people in white protective suits stand in front of a pipeline through which green glowing data streams are pumped
    NETZSCH: Development of an IoT platform
    To the NETZSCH reference
    CloudData/Data PlatformsIoT

    Unified IoT platform for 3 business units, harmonization of existing IoT solutions

    To the NETZSCH reference

    IoT device connectivity, visualization software for data analysis, cloud infrastructure, operations

    To the NETZSCH reference

    Quick testing in the cloud infrastructure, fast integration of use cases such as predictive maintenance, process optimizations, etc.

    To the NETZSCH reference
  • A robotic arm places precise digital data in a futuristic, dark room.
    Research: AI-supported robotics for employees with physical limitations
    See robotics reference
    Embedded Systems & RoboticsIndustry 4.0Manufacturing

    Customized assistance robots for people with physical disabilities in production

    See robotics reference

    Integration of AI for automated adaptation of robots to people's capabilities

    See robotics reference

    Effective empowerment of people with physical disabilities

    See robotics reference
  • A technician in a green Siemens jacket sits in front of a computer on a factory floor with industrial equipment in the background.
    Siemens: AI demand prediction platform for industrial production planning
    See Siemens reference
    CloudData/Data PlatformsIndustry 4.0

    Machine learning for time series forecasting

    See Siemens reference

    AutoML for automated adaptation of models to different data

    See Siemens reference

    Unified, scalable solution, optimized inventory costs, efficiency gains

    See Siemens reference
  • VW drives through tunnel at night
    VW: Digitization of key production figures with the iProcess app
    See VW reference
    Data/Data PlatformsAppsIndustry 4.0

    Replacement of analog, error-prone activities with a digital app solution

    See VW reference

    Digital design, cloud-native technologies, UX concept, UI design, front- & backend

    See VW reference

    More transparency in production processes, higher production OEE, across plants

    See VW reference
  • Person uses Miele app in modern kitchen.
    Miele domestic appliances are networked worldwide
    See Miele reference
    CloudIoTEmbedded Systems & Robotics

    Further development of the IoT platform for connected home appliances

    See Miele reference

    Container-based architecture, open standards, modular design

    See Miele reference

    Quick availability & scalability of digital services, high added value for users

    See Miele reference
  • Header_ifm
    ifm services: Remote maintenance of systems and machines
    See ifm services reference
    CloudIoTEmbedded Systems & Robotics

    Fully integrated remote access in the IoT platform

    See ifm services reference

    Full stack cloud application, RUST-based clients, UX design

    See ifm services reference

    Analysis of sensor data from production as a basis for sustainable decisions for customers

    See ifm services reference
  • Large rollers on conveyor belt in factory.
    Planning systems: Optimizing the capacity utilization of pressing plants
    See reference
    Data/Data PlatformsIndustry 4.0Manufacturing

    Centralized planning of component manufacturing for cost- & resource-optimized production capacity worldwide

    See reference

    Conversion from local processing with fat clients to a client-server application, migration to the cloud

    See reference

    Data-based planning & calculation of different manufacturing scenarios & site-specific production costs

    See reference
  • Man with tablet in front of KUKA industrial robots
    KUKA: UI/UX design for an app for load data analysis for industrial robots
    See KUKA reference
    Digital Design/UX DesignData/Data PlatformsApps

    Web app to replace legacy systems for easier interaction between users & system

    See KUKA reference

    Conversion from local processing with fat clients to a client-server application & migration to the cloud

    See KUKA reference

    Data-based planning & calculation of different manufacturing scenarios & site-specific production costs

    See KUKA reference
  • The dashboard of a car shows a display with a notification about a remote software upgrade.
    BMW Group: Remote software upgrade for vehicles
    See BMW Group reference
    CloudCybersecurityIoT

    Software upgrades without the need to visit a service center

    See BMW Group reference

    Backend system for over-the-air communication with the vehicle, 24/7 support

    See BMW Group reference

    IT security, more comfort, on-demand provision of new features

    See BMW Group reference
  • Technician installs solar panel on roof at sunset
    SMA: Development of a Web UI for ennexOS platform
    See SMA reference
    Digital Design/UX DesignIoTWeb & Portal Platforms

    Creation of a unified customer experience across all products, smooth generational transition for customers, secure, agile operation

    See SMA reference

    WebUI for the digitalization & automation of energy management processes, open-source solution for energy flow visualization

    See SMA reference

    Energy flow & cost optimization, operational reliability, customer-friendliness

    See SMA reference
  • A person stands in a modern, abstract room and holds a tablet in their hands.
    Weidmüller: Progression of the Industrial Service Platform
    See Weidmüller reference
    CloudIoTWeb & Portal Platforms

    Creation of a centralized, intuitive, expandable portal as the foundation for industrial applications (remote access, data visualization, ML)

    See Weidmüller reference

    Exploration, setup & further development of the base platform for industrial services

    See Weidmüller reference

    Innovative portal for end-to-end solutions, MVP in just 7 months

    See Weidmüller reference

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

3. Empower employees and further develop solutions

A robot holding a coffee cup is leaning casually against an industrial machine; in the background, a display reads

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.

Find what suits you best
Refine your search
clear all filters