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Industrial Data Services for Quality Control in Smart Manufacturing


i4Q project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No. 958205.

Project duration: 01/01/2021 to 31/12/2023


Project Details and Goals

Manufacturing industries are continuously facing problems of developing and adapting their processes in order to produce products tailored to specific requirements and to manufacture at the lowest possible rate, while maintaining excellent performance and minimizing resource consumption. To boost productivity, not only waste, scraps, and defects must be minimized, but also manufacturing costs and lead times. i4Q Project aims to build an IoT-based Reliable Industrial Data Services (RIDS), a comprehensive suite of 22 i4Q Solutions capable of managing massive amounts of industrial data generated by low-cost, smart, and small-scale interconnected factory devices for manufacturing digital monitoring and control. For production line continuous process qualification, quality diagnosis, reconfiguration, and certification, i4Q RIDS incorporates simulation and optimization technologies, resulting in an interdisciplinary framework to zero-defect manufacturing. Sensing, communication, computing infrastructure, storage as well as analysis and optimization are the five primary characteristics of the i4Q Framework, which will ensure data fidelity throughout the data cycle.

i4Q Tasks at TUB


Our work in i4Q is mainly focused on Requirements Engineering, Trustworthy Systems, Manufacturing Line Continuous Process Qualification and Audit Procedures. We are developing two i4Q Solutions.

With our work we pursue the following task-related goals:

 T1.4 - Requirements Analysis and Functional Specification

  • Elicit and document the complete set of requirements from the six pilots (implementers), the state-of-the-art analysis and partners’ further knowledge and expertise.
  • Merge requirements, identify and resolve requirement conflicts, and set priorities.
  • Provide a Functional Specification document with an in-depth definition of the functionalities/behaviors of i4Q Solutions, interface descriptions and interrelated requirements fulfillment.
  • Model and visualize requirements and functional structures with the use of SysML.

 T1.5 - Regulation and Trustworthy System / Data Management

  • Perform state-of-the-art analysis related to Trustworthy Systems to define the main characteristics and attributes of a Trustworthy System​.
  • Develop a i4Q Trustworthy System Framework​ and elicit related requirements.
  • Create and evaluate a survey for pilot providers to identify the importance of requirements and analyze results.
  • Create and evaluate a survey for solution providers to identify possible risks and to highlight potentials for solution development​.

 T5.1- Manufacturing Line Continuous Process Qualification

  • Develop and implement a Continuous Process Qualification (CPQ) system for process qualification during the ramp-up and after reconfiguration of production processes.
  • Develop and implement an intelligent and automated CPQ system to improve existing methods with regard to the key values: process capability index (Cp, CpK) and the process performance index (Pp, Ppk).
  • Faster process approval and in-line continuous process validation after process reconfiguration will be based on real-time data provided by i4Q architectures and algorithms combined with improved smart data analytics and algorithms.
  • The result of this task will be a micro-service for rapid monitoring of stability, capability, and performance of manufacturing processes.

 T5.5 Certification and Audit Procedure

  • Define an audit procedure that is applied to the manufacturing resources (machine, cell or manufacturing line) to ensure that data from manufacturing processes are accurate and reliable.
  • Describe the logical sequence of the activities to be performed, elements of the manufacturing resources to be audited (sensors, controls, software, etc.), calibration devices to be used and tests to be performed as well as the frequency with which the procedure is to be performed.
  • Provide recommendations for process reconfiguration, audit strategies, certificates and regulations based on the results of i4Q Solutions related to CPQ, Quality Diagnosis and Smart Alerting, Simulation and Optimisation for Smart Manufacturing Line Reconfiguration Prescription and Manufacturing Line Reconfiguration.
  • Provide a basis to complement existing quality certifications (i.e. ISO 9000) introducing as a new factor to consider the quality of data generated during manufacturing processes.
  • Develop an IT-based assistant to digitize the certification and audit procedure by covering all activities related to i4Q.

i4Q Consortium


The i4Q Consortium consists of 24 partners from eleven countries. Each of them is responsible for a distinct area of knowledge that is required for the project's successful completion. This transdisciplinary team is specifically divided into industrial partners, implementers, research & development, technology providers and specialist companies.

i4Q Project Links

i4Q Project website https://www.i4q-project.eu/

Join our i4Q Community @ Fundingbox https://spaces.fundingbox.com/c/i4Q

Or follow us on…

i4Q @ Twitter https://twitter.com/I4qProject

i4Q @ LinkedIn https://www.linkedin.com/company/i4q-project

i4Q @ Facebook https://www.facebook.com/i4QProject

Zusatzinformationen / Extras


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Anna M. Nowak-Meitinger, M. Sc.
Wissenschaftliche Mitarbeiterin
Fachgebiet Qualitätswissenschaft
Institut für Werkzeugmaschinen und Fabrikbetrieb
Fakultät V - Verkehrs- und Maschinensysteme
Sekr. PTZ 3
Produktionstechnisches Zentrum (PTZ)
Raum PTZ 423
Pascalstraße 8-9
10587 Berlin
+49 30 314-22005


Jan Mayer, M. Sc.
Wissenschaftlicher Mitarbeiter
Institut Institut für Werkzeugmaschinen und Fabrikbetrieb
Fakultät Fakultät V - Verkehrs- und Maschinensysteme
Sekr. PTZ 3
Produktionstechnisches Zentrum (PTZ)
Raum Raum PTZ 423
Pascalstraße 8-9
10587 Berlin
+49 30 314-23996