AIDIP - Artificial Intelligence-based Data space for Innovative Planning
A solution to integrate multiple data sources, collaborative planning capabilities, and adaptive planning algorithms
AIDIP is a project co-funded by EIT Manufacturing that involves Cefriel, Beko, Lexatexter, and Solenis. The goal is to propose a production planner that combines data collected from heterogeneous sources, including logistics and shop floor data.
AIDIP aims to improve visibility, optimize decision-making and improve resource utilization in HMLV production environments, paying attention to environmental information related to transportation.
European Union
EIT MANUFACTURING
Stefania Marrara
Need
Limited access to data from machines, systems, or suppliers hinders visibility into the availability of raw materials and products, leading to inefficiencies. In addition, the need for a production plan that can adapt to dynamic changes, such as machine failures, evolving customer orders, and changing raw material ETAs, further complicates the production process. To address these challenges, AIDIP proposes an integrated solution combining access to data collected from heterogeneous sources inside and outside the plant, including logistics and scheduling in the department.
Solution
By leveraging advanced technologies such as DataSpaces and AI-based algorithms, the solution can integrate different data sources and offer collaborative planning capabilities and adaptive planning algorithms. With AIDIP, manufacturers can make informed decisions considering environmental information related to the movement of goods, respond promptly to changing conditions, and achieve higher efficiency and effectiveness in production planning. Cefriel is the coordinator and technological manager of the development of the DataSpace and the sustainability module.
Impact
Real-time scheduling
A real-time scheduling tool, allowing you to quickly adapt to market changes, unpredictable demands, and shorter supply chains, giving manufacturers instant access to production data from various machines and systems.
Data Space
The integration of DataSpaces improves decision-making capabilities, facilitating the analysis of historical data and identifying patterns and trends to improve resource allocation and planning.
Sustainability
The solution contributes to the green energy transition by minimizing energy consumption, optimizing the use of materials and reducing waste, thus mitigating negative environmental impacts.
Decision support
AIDIP provides manufacturers immediate access to production data from various machines and systems, even coming from supplier and external stakeholder, allowing them to make well-informed decisions regarding raw materials and product availability.
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