Projects overview
OPTIMAI | Optimizing Manufacturing Processes through Artificial Intelligence and Virtualization
01-01-2021
-30-06-2024
DENiM | Digital intelligence for collaborative ENergy management in Manufacturing
01-11-2020
-31-10-2024
InterQ | Interlinked Process, Product and Data Quality framework for Zero-Defects Manufacturing
01-11-2020
-31-10-2023
TINKER | FABRICATION OF SENSOR PACKAGES ENABLED BY ADDITIVE MANUFACTURING
01-10-2020
-30-09-2023
i4Q | Industrial Data Services for Quality Control in Smart Manufacturing
01-01-2021
-31-12-2023
COALA | COgnitive Assisted agile manufacturing for a LAbor force supported by trustworthy Artificial Intelligence
01-10-2020
-30-09-2023
The COALA solution will support the workers when performing process and product quality inspections with quality predictions and prescriptions for mitigation measures. The Augmented Manufacturing Analytics feature is A set of DIA functions interfacing the prescriptive quality analytics service connected to shop floor data sources. It will enable non-data-scientist workers to utilize and customize data analytics during product quality tests.
COALA will contribute in the ongoing discussion about AI ethics and potential standards, monitor the standardization potential for worker education under consideration of AI competencies, and will use and contribute to IT standards. We will take into account available IT-related standards and use them when applicable. This includes normative standards as set by ISO and its national bodies, which are of high importance to industrial companies. We will assess standards proposed by major influential de-facto standardization bodies like W3C, OASIS, and OMG. Standardization topics concern:
- The technical system architecture level. Standardize communication protocols, data exchange formats, data exchange interfaces.
- The content level. Ontologies for the semantic data integration and the WHY engine.
- The process level. This includes innovation management system, terminology, terms and definitions, and tools and methods.
COALA solution for on-the-job-training using digital assistant allows the workers to meet the requirements of their work environtment: to be skilled and flexible. To keep up with continuously changing demands and to cope with altering product and process information, production workers need to adopt an approach that welcomes change. They need to be empowered by making customization transparent, enabling rapid adaptations, providing operational flexibility, and augmentation of their skills.
COALA aims to develop a cognitive advisor with dedicated human-assisted AI methods for enabling transfer of tacit knowledge of experts to novice workers. The transfer of tacit knowledge of production workers that grows with their experiences enabling them to cope with challenges of agile manufacturing.
For the change over time we expect a reduction of 15% to 30% by shortening the worker training time.
COALA is expected to impact on the productivity of employees involved in the quality detection
and repair as well as on reduction of the not detected defects delivered.
- COALA solution aims to meet manufacturing requirements regarding, e.g. time criticality, reliability (e.g. deal with factory noise, number of defects), safety when giving advice to workers, and security in business environments.
- The COALA didactic concept will provide media materials, exercises, and competencies tests to teach factory workers and evaluate their learning progress regarding the opportunities, challenges (e.g. reliability, accuracy, and accountability of AI decisions), and risks (e.g. data security, ethical issues, and information quality) when working with AI-powered digital assistants.
- A Market Analysis (Value Chain analysis, competition evaluation, market segmentation and sizing, business expectations) will be performed to define a successful strategic positioning of COALA.
- A Business Model and Plan will be developed in order to define a go-to-market strategy and demonstrate the financial interest.
During the design and development of the COALA didactic concept, societal and environmental well-being is considered through impact analysis and the change of social skills of workers.
COALA solution will support workers that need to use analytics tools and new workers that perform on-the-job training. Complementary to the technology, an education and training concept that focuses on building blue collar worker competencies in human-AI collaboration will be developed. The COALA solution will transform how workers perform their jobs and it allows companies to maintain or increase the quality of their production processes and their products.
COALA solution is developed to consider following factore: factory noise, needed worker capabilities, variety of production machines, expected product and process quality, time-criticality, and worker safety.
ASSISTANT | leArning and robuSt deciSIon SupporT systems for agile mANufacTuring environments
01-11-2020
-31-10-2023
TEAMING.AI | Human-AI Teaming Platform for Maintaining and Evolving AI Systems in Manufacturing
01-01-2021
-30-06-2024
XMANAI | Explainable Manufacturing Artificial Intelligence
01-11-2020
-30-04-2024
STAR | Safe and Trusted Human Centric Artificial Intelligence in Future Manufacturing Lines
01-01-2021
-31-12-2023
I4MS4Ts | I4MS Tools and Technologies for Transformation
01-06-2020
-30-11-2022
AI REGIO | Regions and DIHs alliance for AI-driven digital transformation of European Manufacturing SMEs
01-10-2020
-30-09-2023
AI-PROFICIENT | Artificial Intelligence for improved PROduction efFICIEncy, quality and maiNTenance
01-11-2020
-31-10-2023
Leveraging the human knowledge and feedback for reinforcement learning (human-in-the-loop)
KITT4SME | platform-enabled KITs of arTificial intelligence FOR an easy uptake by SMEs
01-10-2020
-31-03-2024
Better Factory | Grow your manufacturing business
01-10-2020
-30-09-2024
COALA's three use cases (textile, white goods, liquid production) will evaluate the COALA solution in their manufacturing processes with significant economic value.