Discover how companies in our network optimize their production quality and identify error sources early by leveraging modern IoT sensors and data analytics. Could you potentially reduce waste by recognizing quality deviations in real time and taking direct countermeasures?
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Companies from our community that are already successfully implementing IoT and IIoT applications in practice.
Solution Examples > Quality Management
How do companies from our network successfully implement Predictive Quality with IIoT? Our tried-and-tested use cases show you data-based approaches that minimize product defects and optimize production processes.
Imagine production errors being detected before they occur – thanks to IIoT-powered analytics.
Industry challenges – do these sound familiar to you?
Our platform provides the answers.
Discover proven IIoT solutions that improve your production quality and reduce errors – supported by leading experts and technologies.
Predictive quality is the key to greater efficiency and customer satisfaction. Our platform shows you tried-and-tested use cases that demonstrate how companies from our network optimize production quality through IIoT!
Irregularities in, for example Irregularities in the coating process, for example, lead to quality defects. IoT-supported sensor technology measures temperature, humidity and particle concentration in real time. Automatic adjustment of the coating parameters ensures a flawless, uniform coating.
Variations in temperature or pressure can cause material distortion and production defects. IoT sensors and associated software monitor critical parameters during production—such as in the coating of turbine blades—and dynamically adjust processes to prevent deformation or cracking.
High rejection rates put a strain on production for many companies in our network and drive up costs. IoT sensors and data analytics help detect and eliminate error sources at an early stage. By monitoring machine parameters in real time, quality fluctuations can be minimized, and rejects can be sustainably reduced.
Tool wear leads to quality fluctuations and increased rejects in many companies. Many rely on vibration and force sensors that detect wear conditions in real time and enable early replacement.
Fluctuations in humidity or an excessively high concentration of particles can impair production processes and lead to defective coatings or material contamination. IoT sensors measure these environmental parameters in real time and enable automatic adjustment of process conditions to avoid rejects.
An unstable gas flow can have a significant impact on the quality of coating or melting processes, for example. IoT-based monitoring systems analyze the gas pressure and flow in real time and regulate it dynamically to ensure even material distribution and optimal process conditions.
The smallest deviations in production processes can cause errors that are difficult to detect and result in high costs later on. IoT systems record process data, analyze patterns and detect anomalies at an early stage so that corrective measures can be initiated immediately.
In many manufacturing processes – for example in vacuum-based systems – even the smallest leaks are critical, as they impair material quality and process stability. IoT sensors continuously monitor the negative pressure and detect leaks immediately to prevent production downtimes and quality losses.
With smart IoT sensors, water quality is monitored in real time. Parameters such as pH level, nitrate content, dissolved oxygen, and conductivity are continuously measured to detect deviations early and ensure compliance with quality standards.
Microcracks are often invisible to the naked eye but can significantly reduce the strength and lifespan of components. With IoT-powered image recognition and non-destructive testing methods, microcracks can be detected at an early stage before they lead to structural issues.
IoT-powered analytics examine the relationships between machine settings and product quality. This data helps identify faulty processes and make targeted adjustments to ensure consistently high quality.
Material residues in containers or larger machines and plants of the companies in our network disrupt processes and impair the quality of the end products. IoT systems identify residues through optical or chemical analysis and ensure timely cleaning or adjustment of production parameters.
Providers from our network whose IoT and IIoT solutions have been tried and tested in practice.
Do you want to improve the quality of your products and processes with industrial IoT data or have you already planned your first steps? But you are faced with a variety of solutions and providers and are looking for a clear way to make optimum use of existing data and knowledge?
Quality Management and Predictive Quality require the targeted interaction of data-based technologies, strong partners and tried-and-tested approaches in order to detect errors at an early stage, avoid deviations and sustainably increase process efficiency.
The basis of every IoT and IIoT project lies in data acquisition and pre-processing (EDGE). The data from the field and control level can be transmitted either directly by wire or wirelessly. Operational parameters such as temperature, pressure, force, or production data in real time are captured – and made available for any use case.
A seamless transfer of captured data is essential. Many companies combine wireless and wired solutions depending on the use case – for secure data transmission to the cloud or locally. Suitable networks for distance, data load and environments as well as high security standards are crucial in order to avoid downtimes.
Data only becomes valuable when it is seamlessly integrated into existing IT and OT systems. A strong connection between machine level, MES, ERP systems and other business solutions enables efficient processes and consolidated insights. Keywords: Data Warehousing, Data Lake and Database (storage)
Master data for products and services is often not uniformly classified and is available in data silos. When implementing use cases such as traceability, digital type plates, the digital product passport (DPP) or the product carbon footprint, this leads to high costs in data engineering due to duplication of work and inefficient processing. Uniform data formats, standardized product descriptions and technical concepts such as the Asset Administration Shell (AAS) are therefore crucial.
IoT/IIoT data analysis provides real-time insights into processes through, for example, data event-driven apps, real-time analytics, and root cause analytics. Tools such as MVDA, OEE, process KPIs and Predictive Maintenance can be used to identify anomalies and optimize processes. Low-code solutions also facilitate rapid implementation.
Protection against unauthorized access, theft or manipulation is an issue for every company in our network. Our partners are working on solutions for the optimal use of digital identities and encryption technologies for secure access and communication of your devices, machines and systems.
The services of our partners support companies from our network in the implementation and optimization of IoT solutions. This includes consulting, individual customization, training and technical support. The aim is to make processes more efficient, integrate systems seamlessly and derive maximum benefit from IoT/IIoT data.
IoT sensors monitor parameters such as temperature, pressure, humidity, or vibrations in real time. This allows deviations to be detected before they negatively impact product quality. It saves costs by preventing defective products and increases the reliability of your processes.
Predictive Quality enables the analysis and correlation of machine settings and product quality. This allows optimization potential to be identified and adjustments made to ensure consistent quality.
With digital twins, production processes can be simulated to identify potential sources of error in advance. This helps prevent unwanted production downtime and increases efficiency.
Predictive Quality uses IoT data to analyze the causes of quality issues more quickly and accurately. This allows production problems to be systematically eliminated and future errors to be prevented.
Through precise analyses and process controls, Predictive Quality reduces scrap and optimizes the use of materials and energy. This lowers costs and enhances the sustainability of production.
Are you a machine and plant manufacturer working on digital solutions in your company? You know it too: Digitalization brings new challenges that you’d like to discuss with an experienced partner. We help you make your machines future-ready, build the right infrastructure, and develop innovative business models. Together with you and our strong partners, we find tailored solutions that optimize your processes and create new added value.
Offer your customers a powerful portal for accessing master data, technical documentation, and contact information. The integration of shift logs and data-sharing functions enhances transparency and increases the efficiency of your services.
Make maintenance planning easier for your customers with digital manuals and clear troubleshooting options. The maintenance calendar ensures that maintenance measures are carried out efficiently and without delays.
Seamlessly integrate knowledge and data into a comprehensive ecosystem. With API interfaces and export options, you can provide your customers with a connected and flexible solution.
Support your customers in the efficient commissioning of new plants. With digitally supported processes, system integration and production starts are smoothly executed.
Give your customers the opportunity to better understand their end users. Through feedback management and customer traffic analysis, services can be tailored and optimized.
Help your customers act proactively rather than reactively. Predictive Maintenance enables data-driven maintenance planning, reduces downtime, and increases machine availability.
Digitize your customers' recipe management to make production processes more efficient. Changes and synchronization can be implemented across locations to save time and resources.
Provide your customers with solutions for comprehensive reporting that covers warranties and legal compliance. Transparent processes build trust and foster long-term partnerships.
Offer your customers a powerful portal for accessing master data, technical documentation, and contact information. The integration of shift logs and data-sharing functions enhances transparency and increases the efficiency of your services.
Make maintenance planning easier for your customers with digital manuals and clear troubleshooting options. The maintenance calendar ensures that maintenance measures are carried out efficiently and without delays.
IoT Use Case is more than a network – we are your trusted advisor with a focus on trust, integrity and added value. Regardless of whether you want to implement a use case or are looking for the right entry point:
Our expertise and our network support you in making well-founded decisions based on practical experience that achieve your goals. With our experience from over 1,700 projects, we understand the hurdles, pitfalls and opportunities – and help you to overcome them.
Join our IoT community and learn how other companies have successfully implemented Condition Monitoring. We provide you with a platform to discover best practices and find the right IoT solutions for your challenges.
Exchange ideas and approaches on IIoT use cases such as Predictive Quality or Digital Service.
Share tips and best practices across functions and inspire other companies.
Learn how others use IIoT technologies to solve challenges and identify trends early on.
Discover proven approaches for real-time monitoring of machines and facilities. Minimize downtime and ensure the availability of your processes.
React efficiently when it matters. Reduce downtime and keep your production running.
Plan maintenance work smarter and data-driven. Prevent failures with solutions that identify problems before they occur.
Track materials and products across the entire supply chain. Meet regulatory requirements and build trust through transparency.
Increase the efficiency of your facilities. Optimize operations, maintenance, and management with innovative technologies.
Reduce energy costs and optimize consumption. Use real-time data to make sustainable decisions.
Ensure your product quality with state-of-the-art technologies. Avoid rejects and identify sources of errors early.
Simplify your processes with paperless workflows. Benefit from centralized access and efficient data management.
Protect your assets and processes. Smart technologies help detect and minimize risks early.
Manage vehicle fleets efficiently and smartly. Optimize routes, reduce costs, and improve operational safety.
Protect your employees with innovative IoT solutions. From contaminant detection to emergency communication – ensure maximum safety.
Opt for eco-friendly and sustainable solutions. Monitor emissions and optimize resource consumption.
Benefit from findings from over 100 industrial projects. Get tailor-made use cases, direct contacts to solution providers, and proven best practices – straight from our network.
Your questions - our answer
IoT Use Case is financed by a strong network of partners and sponsors. Our goal: to make structured, collective knowledge from the network and our community accessible to everyone – free of charge until your project is successful. You can then present your IoT project to us and become part of the network. Sounds exciting? Become a partner.
During the appointment, we will discuss your specific challenges and goals together. Subsequently, we will present you with suitable, tried-and-tested solutions from the database that are tailored to your needs, either during the appointment or afterwards via a list. The appointment typically lasts between 30 and 60 minutes.
Our database is categorized by industry, use cases, functional areas, asset types and technologies. Depending on the characteristics of your use case, we look into the database together and find the solutions that are relevant for you.
Access is free because we are in the beta phase of our platform. The aim of this phase is to collect feedback from users like you in order to optimize our network database to the needs of the community. At the same time, we want to give you the opportunity to experience the benefits of field-proven solutions first-hand and successfully drive your IoT projects forward.
Our interest at IoT Use Case is to provide access to field-proven IIoT solutions that support companies in successfully implementing their digitalization projects. With our platform and the associated services, we create a trustworthy environment in which best practices and concrete application examples take center stage.
Following the appointment, you will receive a summary of the solutions presented as well as access to further information and contacts.
The solutions in our database come from trusted partners and companies from our community who have successfully implemented IoT projects in practice. Each solution is based on real use cases and has been tested under real conditions by at least one customer or user.
The content is updated daily with the latest solutions, references and new use cases.
Yes, we look forward to new solutions. If your solution has already been used successfully in practice, you can add it to the community database. Simply contact us via our contact section or send us a message with the details of your solution:
Yes, on our platform we show you an excerpt of success stories, references and solution examples from the database.
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We look forward to helping you!
Internet of Things (IoT) is the English version for the Internet of Things. The definition to the meaning is wide, so we translate the terms from industry to practice here.
Whatever you call it, you’ll find it here without “buzzword bullshit bingo.”
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