8 results found
SEMICONDUCTOR-X
SEMICONDUCTOR-X aims to make the European semiconductor industry sustainable and resilient through comprehensive digitalization and the establishment of traceability. Together with our partners, we are developing new data-driven business models and encouraging innovation along the entire value chain.
Region:
DACH, United States, East Asia, Southeast Asia (ASEAN)
Industry:
Semiconductors
Regulatory changes
Customer demand management
Traceability
Adaptive process control with the inclusion of consumables
SubFab Optimization
Capacity sharing between partners amid disruptions
Yield Improvement through data-driven external services
Life Cycle Assessment (LCA) methodology with the underlying Life Cycle Inventory (LCI)
Optimization of environmental key figures
Product Carbon Footprint (PCF)
Decide4ECO
SUSTAINABILITY STARTS IN PRODUCT DEVELOPMENT
The costs involved in manufacturing, maintaining and recycling a product are determined as early as in the product
development phase. This phase also determines the ecological footprint of a product during production, product
use and its feedback into circular value networks. Often only incomplete data with low data quality is available in
this context.
Companies therefore need methods and tools that allow them to make decisions regarding the sustainable production
and operation of their products at an early stage, while at the same time taking into account the constantly
changing laws and regulations in order to enable circular value creation.
In order to assess the ecological footprint of a product, it is necessary to collect sustainability-relevant information
across the entire production and supply chain and make it available for product development. This can be done
using data ecosystems. Tools and methods that enable companies to participate in these ecosystems and use the
provided information must be made available.
PROJECT GOALS
The goal of Decide4ECO is to create a methodology which uses data ecosystems such
as Manufacturing-X or Catena-X and develop a
systematic and fl exible decision support system
for product planning and development with
respect to the sustainability of a product and its
entire value chain in shared data ecosystems.
The methodology is based on connectors for
integrating PLM and other systems into data
ecosystems as well as on AI-based methods for
sustainability assessment which are developed
by the project partners.
The costs involved in manufacturing, maintaining and recycling a product are determined as early as in the product
development phase. This phase also determines the ecological footprint of a product during production, product
use and its feedback into circular value networks. Often only incomplete data with low data quality is available in
this context.
Companies therefore need methods and tools that allow them to make decisions regarding the sustainable production
and operation of their products at an early stage, while at the same time taking into account the constantly
changing laws and regulations in order to enable circular value creation.
In order to assess the ecological footprint of a product, it is necessary to collect sustainability-relevant information
across the entire production and supply chain and make it available for product development. This can be done
using data ecosystems. Tools and methods that enable companies to participate in these ecosystems and use the
provided information must be made available.
PROJECT GOALS
The goal of Decide4ECO is to create a methodology which uses data ecosystems such
as Manufacturing-X or Catena-X and develop a
systematic and fl exible decision support system
for product planning and development with
respect to the sustainability of a product and its
entire value chain in shared data ecosystems.
The methodology is based on connectors for
integrating PLM and other systems into data
ecosystems as well as on AI-based methods for
sustainability assessment which are developed
by the project partners.
Region:
DACH, Central & Eastern Europe, Southern Europe, Benelux, Nordics, UK & Ireland, Baltic States, United States, Canada, Mexico & Central America
Industry:
Aerospace & Defense, Automated Manufacturing, Automotive, Electronics & Electrical, Machinery & Equipment, Medical Devices, Railroad, Semiconductors, Shipbuilding
energy data-X
A data ecosystem for all market participants in the energy industry
• In the energy data-X research project, a data ecosystem for the energy industry based on Gaia-X is being developed and is being tested using the "Imbalance settlement quality" and "FleX" use cases.
• This improves the integration of renewable energy plants and thus contributes to achieving climate protection targets. In addition, comprehensive sector coupling is made possible.
• energy data-X is to become the standard for data exchange in the energy industry.
• In the energy data-X research project, a data ecosystem for the energy industry based on Gaia-X is being developed and is being tested using the "Imbalance settlement quality" and "FleX" use cases.
• This improves the integration of renewable energy plants and thus contributes to achieving climate protection targets. In addition, comprehensive sector coupling is made possible.
• energy data-X is to become the standard for data exchange in the energy industry.
Region:
Nordics, Central & Eastern Europe, DACH
Industry:
Energy producers and distributors
Construct-X
Construct-X develops digital standards, tools and methods to enable digital and trust-based collaboration in temporary value creation networks in the construction industry, industrial and plant engineering and the skilled trades. To this end, a cloud-based open source reference architecture is being developed and various cloud edge applications relevant to the construction sector are being integrated into it. In addition, Construct-X is developing technologies for the multi-provider cloud edge continuum. This enables the latency-free, a secure/loss-free processing of data on construction sites and a reduction in the required bandwidth.
The aim of Construct-X is to increase productivity, efficiency and transparency in the construction industry and in construction projects and to minimize construction-related impacts and interventions in nature and the environment in order to effectively achieve sustainability goals. The consistent use of data is an essential factor for this, which has so far only been used in part and often in a less collaborative manner in the diverse and heterogeneously organized construction industry. Construct-X is laying the foundations for the development of federated data spaces, drawing on experience already gained in other sectors.
The aim of Construct-X is to increase productivity, efficiency and transparency in the construction industry and in construction projects and to minimize construction-related impacts and interventions in nature and the environment in order to effectively achieve sustainability goals. The consistent use of data is an essential factor for this, which has so far only been used in part and often in a less collaborative manner in the diverse and heterogeneously organized construction industry. Construct-X is laying the foundations for the development of federated data spaces, drawing on experience already gained in other sectors.
Region:
DACH
Industry:
Railroad
Creation of material data passports
AI-supported risk management
Supply chain/logistics management
Optimal supplier selection
Construction site automation
Construction price determination
Networked Design
Construction process planning according to BIM Lean principles
ESG documentation and environmental reporting
Digital performance reporting
tbd
Aerospace-X
The project Aerospace-X is paving the way for a collaborative ecosystem for sustainability and circular economy in the aerospace industry and to future-proof supply chains through digitalization and data sovereignty. This shall be achieved by providing open and digital solutions for collaborative multi-tier supply chains, community standards for interoperability and the development of an underlying infrastructure based on the principle of data sovereignty for cross-company data exchange in the aviation industry.
Use cases include demand and capacity management, the calculation and cross-company sharing of product carbon footprints, and the creation of digital product passports for components and aircraft. This also supports circular economy approaches aimed at closing material loops, whether through recycling, the use of secondary materials, or the reuse of components. Furthermore, the project will develop decision support systems and end-to-end quality and non-conformance management to ensure that future aircraft and their components are developed in a circular, efficient manner, with reduced environmental impacts, and according to the highest quality standards.
Use cases include demand and capacity management, the calculation and cross-company sharing of product carbon footprints, and the creation of digital product passports for components and aircraft. This also supports circular economy approaches aimed at closing material loops, whether through recycling, the use of secondary materials, or the reuse of components. Furthermore, the project will develop decision support systems and end-to-end quality and non-conformance management to ensure that future aircraft and their components are developed in a circular, efficient manner, with reduced environmental impacts, and according to the highest quality standards.
Region:
DACH
Industry:
Metals & Mining, Aerospace & Defense
Catena-X
Catena-X is a collaborative, global, open and decentralized data ecosystem designed to enable secure, standardized data exchange across the automotive value chain. It brings together OEMs, suppliers, IT providers, and other stakeholders to create seamless, interoperable digital processes. Built on the principles of Gaia-X, Catena-X ensures data sovereignty, trust, and European data protection standards. The ecosystem promotes the use of open-source components to foster transparency and vendor-neutral integration. Participants can share data across company boundaries while retaining full control over its usage. Key use cases include traceability, quality management, supply chain resilience, and CO₂ tracking. Catena-X relies on standardized semantic models and interfaces to ensure that data is understandable and usable by all participants. By enabling real-time collaboration, Catena-X helps optimize production, logistics, and sustainability across the automotive industry. In the Catena-X ecosystem, companies can participate in various roles depending on their capabilities and goals. They can not only act as data providers or consumers, but also as service providers, offering interoperable applications within the network. Additionally, companies can serve as infrastructure providers, enabling the technical backbone for secure data exchange and identity management. Ultimately, Catena-X aims to transform the sector into a more agile, resilient, and data-driven network.
Region:
Central & Eastern Europe, Southern Europe, United States, Canada, Mexico & Central America, Southeast Asia (ASEAN), Australia & New Zealand
Industry:
Automotive
Product Carbon Footprint (PCF)
PURIS – Predictive Unit Realtime Information Service
Traceability
Business Partner Data Management (BPDM)
Quality Management
Demand & Capacity Management (DCM)
EcoPass / Digital Product Passport
Environmental & Social Standards (ESS)
Circular Economy
Eclipse Dataspace Connector (EDC)
Digital Twin Registry (DTR)
Knowledge Agent
Business Partner Number (BPN) Issuer
EDC Discovery Service
Identity and Access Management (IAM) & Self-Sovereign Identity (SSI)
Item Relationship Service (IRS)
Robot-X Data Space
The Robot-X Data Space connects robotic asset providers, component developers, solution builders, solution installers, and end customers to efficiently exchange data among each other. It ensures secure and reliable data transfer to allow:
- Collaborative Engineering: Exchange of standardized engineering data allowing automized provision and processing, and thus, speeding up development phases from requirements engineering over joint conceptualizing and designing up to virtual commissioning.
- Digital Services: Support of robotic operations with remote services to optimize or extend robotic behavior, such as anomaly detection, retraining of AI algorithms, software upgrades, or predictive maintenance.
- Collaborative Engineering: Exchange of standardized engineering data allowing automized provision and processing, and thus, speeding up development phases from requirements engineering over joint conceptualizing and designing up to virtual commissioning.
- Digital Services: Support of robotic operations with remote services to optimize or extend robotic behavior, such as anomaly detection, retraining of AI algorithms, software upgrades, or predictive maintenance.
Region:
DACH
Industry:
Aerospace & Defense, Automated Manufacturing, Automotive, Electronics & Electrical, Machinery & Equipment, Shipbuilding
Factory-X
Factory-X is the data ecosystem for factory outfitters and operators. The project goals are:
- provide the best production facilities, that allow factory operators to build the best products for their customers
- build on existing experiences, technologies and solutions from Catena-X and other initiatives, enhance and extend them in such a way that they meet th e requirements of factory outfitters and operators
- build (pre-develop) new data driven solutions and services especially for factory operators, Factory outfitters and their suppliers
- provide the best production facilities, that allow factory operators to build the best products for their customers
- build on existing experiences, technologies and solutions from Catena-X and other initiatives, enhance and extend them in such a way that they meet th e requirements of factory outfitters and operators
- build (pre-develop) new data driven solutions and services especially for factory operators, Factory outfitters and their suppliers
Region:
DACH
Industry:
Machinery & Equipment
Information Update and Change Service
Integrated Toolchains and Collaborative Engineering
Generic
Circular Economy
Carbon Footprint Management
Energy Consumption and Load Management
Traceability
Autonomous Operation as a Service
Manufacturing as a Service - On Demand Manufacturing
Modular Production
Condition Monitoring led Services
Collaborative Information Logistics