Tecnalia

M4.0 Optimizing Equipment Selection in the Metal Manufacturing Domain — with Data Spaces

gepro systems use case

Boschert Gizelis use case

GoiAlde use case

netcompany intrasoft use case

Kleemann use case

LMS University Patras use case

Challenge

Selecting the most suitable new manufacturing equipment is a time-consuming challenge for many customers. There’s no easy way to digest all available information about options, so customers must browse the internet, attend trade shows and talk to multiple experts in order to reach an informed decision. We wondered if data spaces could help integrate and streamline this process. We focused specifically on the metal domain.

Success

The M4.0 Metal Domain Data Space is based on the IDS Reference Architecture Model (RAM). It describes a robust and efficient solution for linking the inventories of different equipment manufacturers to an M4.0 service that analyses the customer’s requirements and returns the most suitable equipment options for a certain metal domain manufacturing process. The connection is made through IDS connectors and the inventories and services include essential IDS modules (i.e., clearing house, broker) that guarantee a trusted data exchange

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Benefits

The M4.0 Metal Domain Data Space makes the selection of manufacturing equipment simpler and more efficient, getting to a better result in less time.

It is flexible, offers two solutions:
1. Connecting equipment manufacturer repositories with a single IDS connector. The equipment manufacturers do not require knowledge of the IDS RAM. Only the connector owner needs to have it.
2. Connecting one service with multiple data providers/IDS connectors. The benefit of this is that the data provider controls the data flow and is independent of the connector provider.

Partners

Ekin
Engineering
Exkal
Gepro Systems
Gizelis
Goialde
Intrasoft
Kleemann
LMS Lab of the University of Patras
Prima Industrie
Rico
TNO

ComPONENTS

IDS Connector
Clearing House
Broker
ESS App
Central platform

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MONDRAGON ASSEMBLY EGOKIA

MONDRAGON ASSEMBLY - an international firm specializing in the development of automatization and assembly solutions for various sectors. It operates 6 production plants around the world and is part of the largest cooperative group in the world | IKERLAN Technical research center and member of IDSA

CHALLENGE:

EGOKIA solution allows collaborative learning and knowledge sharing between geographically distributed plants, integrating headquarters in Basque Country and domain experts. Thanks to the data space, data, and AI assets can be securely shared throughout different corporate sites and a new knowledge-based economy emerges.

SUCCESS:

Deploys an architecture based on IDSA connectors, linking Mondragon Assembly’s data and AI platforms from different corporate sites. With this new reliable data space, we extend the lifecycle of artificial intelligence models, enhance their capabilities, and facilitate trusted access and use of its assets by EGOKIA participants.

BENEFITS:

NEW BUSINESS MODEL: A new business model based on AI services and a knowledge-based economy. RELIABLE AI SOLUTIONS: A "standardized", flexible, and secure solution to break data silos to share and complete AI assets and processes between trusted organizations and production plants. Measurable benefits can be listed as: Up to 30% quality on models thanks to the application of federated learning techniques, reduce inversion and time to market on IA-based solutions or lower communications loads. STANDARIZED DATA SPACE – The organization is ready to take part in the knowledge economy with other entities, domain experts, and technology providers.

COMPONENTS:

Data Space connectors 8.0.2 Metada Broker 5.0.3 Identity Provider 1.6.0

Increased visibility of order delivery process

VTT | Wärtsilä | Uwira

CHALLENGE:

The use case revolves around expediting and enhancing transparency between a focal company of a manufacturing ecosystem (OEM) and its supplier in their production order management processes. The existing communication methods have proven inadequate in facilitating efficient and adaptable exchanges between the two entities. By facilitating transparency and fostering a more seamless integration between the IT systems of both companies, the management of product orders can be streamlined, resulting in heightened efficiency and a reduction in errors.

SUCCESS:

The objective is to facilitate a reliable and seamless flow of data between the OEM and its supplier by establishing a dedicated data space. The developed solution will be seamlessly integrated with pre-existing IT infrastructures of both companies and the solution is grounded in the framework of the IDS reference architecture.

The OEM can selectively disclose data from their production environment to the supplier without the fear of data leakages. Respectively, the supplier receives only the data that are essential for them and there is no need to locally extract meaningful insights and valuable information from big data sets.

BENEFITS:

The established data space solution has the potential to significantly enhance transparency between the OEM and the supplier. This gives rise to several potential benefits, including:
Effective Communication: Transparent communication helps in conveying accurate information about product specifications, requirements, changes, and timelines.
Risk Management: Sharing information about potential risks, such as changes in demand or design modifications, allows suppliers to proactively address these issues. Furthermore, in times of disruptions, such as supply shortages or unexpected market shifts, transparent communication helps both parties respond more effectively.
Cost Efficiency: Transparent communication allows both parties to work together to find cost-effective solutions.

COMPONENTS:

IDS connectors - serve as the communication interface linking the two companies and their existing IT systems. With IDS connectors, a data provider can define the rules and conditions (usage policies) under which data are shared with a data consumer.
DAPS - enables connectors to authenticate themselves using X.509 certificates. After successful authentication, the DAPS issues OAuth2 access tokens for connectors, who need these tokens to access the services and data of other connectors.
Metadata Broker— stores information about the data end-points offered by the participants. The broker provides a query interface for connectors and can hence be considered as the search engine in this use case.

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