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AI-Driven Multi-Objective Process Optimization and Decision Support System for Sustainable Ceramic Production

Summary

Profile Type
  • Research & Development Request
POD Reference
RDRTR20260109004
Term of Validity
9 January 2026 - 9 January 2027
Company's Country
  • Turkey
Type of partnership
  • Research and development cooperation agreement
Targeted Countries
  • All countries
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General information

Short Summary
The project aims to transform traditional ceramic manufacturing into a highly digitized, data-driven ecosystem. By leveraging a ceramic manufacturer’s extensive historical data, we will develop a Multi-Objective Optimization framework that synchronizes raw material standards, energy efficiency, and product quality.
Full Description
A Turkish Ceramic Manufacturer is developing a project for the upcoming Eurostars call and looking for SMEs for collaboration. The project focuses on the development of decision support systems for sustainable ceramic manufacturing and is structured into three primary technical pillars:

I. Multi-Objective Optimization & Sustainability: By developing alternative raw material blends cost constraints are satisfied while maximizing sustainability and energy efficiency. Moreover operational boundaries will be defined to balance economic output with environmental impact (CO2 reduction, lower energy consumption).

II. Real-Time Monitoring & Prescriptive Support: Machine learning will be utilized to identify process deviations and real-time adjutsment suggestions will be provided.

III. Pilot Validation & Scalable Architecture: The technology will be validated at a pilot production line and will be ready for scalability to other sectors.

Another important point is that the candidate's country must be eligible for the Eurostars program.
Advantages and Innovations
Quality consistency, resource efficiency, faster production cycles
Technical Specification or Expertise Sought
We are looking for experts in AI, ML algorithms and sensor technologies in order to develop a Multi-Objective Optimization framework, which will synchronize raw material standards, energy efficiency, and product quality. While doing this, extensive historical data of the system will be used. For this reason, big data, data management and analysis will also be the other cores of the project. Previous experience in Horizon programs will also be an advantage for participating in the consortium. The candidate's country must be eligible for the Eurostars program.
Stage of Development
  • Under development
Sustainable Development Goals
  • Goal 9: Industry, Innovation and Infrastructure
  • Goal 17: Partnerships to achieve the Goal
IPR status
  • No IPR applied

Partner Sought

Expected Role of a Partner
The company is looking for SMEs with expertise in ML& AI algrithms and also sensor technologies. Also expertise in big data and data analytics is another requirement.
Type and Size of Partner
  • SME 11-49
  • SME <=10
  • SME 50 - 249
  • Big company
Type of partnership
  • Research and development cooperation agreement

Call details

Framework program
  • Eureka
Call title and identifier
Eurostars Call March 2026
Submission and evaluation scheme
This is a single stage application
Anticipated project budget
750000
Coordinator required
Yes
Deadline for EoI
Deadline of the call
Project duration in weeks
144
Web link to the call
https://www.eurekanetwork.org/programmes-and-calls/eurostars/eurostars-march-2026/
Project title and acronym
AI-Driven Multi-Objective Process Optimization and Decision Support System for Sustainable Ceramic Production

Dissemination

Technology keywords
  • 02003002 - Manufacturing plants networks
  • 02003005 - Information processing & Systems, Workflow
  • 02003001 - Process automation
  • 02007003 - Ceramic Materials and Powders
Market keywords
  • 02007016 - Artificial intelligence related software
  • 02007011 - Manufacturing/industrial software
Sector Groups Involved
  • Renewable Energy
  • Energy-Intensive Industries - Materials
Targeted countries
  • All countries