Wednesday 18 December at 03.00 PM (CET)
The fifth of the series of webinars proposed by the Auto-twin project (G.A.101092021) will be broadcast on to delve deeper into the scenarios involving the European manufacturing industry today.
Decision making in the factory
Thanks to the intervention of Andrea Marrella, Associate Professor of Engineering in Computer Science (Sapienza University of Rome), the webinar will bring to attention the new techniques of Process Mining, Business Process Simulation and Visual Analytics, as drivers for an intelligent simulation of the process decision-making within production planning.
Specifically, it will be partially referring to the publication on the same topic presented at the CAiSE Conference 2024: “A Context-Aware Framework to Support Decision-Making in Production Planning”.
The proposed business case
Within the Industry 4.0 context, decisions become “data-driven” and it is therefore essential to study, among the new technologies, the key elements that can support man and guide him in the development of a new business model based on data.
As in the publication “A Context-Aware Framework to Support Decision-Making in Production Planning”, a business case will be presented: “It focuses on a manufacturing company specializing in sanitaryware production. The outcomes highlight the potential of the proposed framework in automatically developing production planning simulations to enhance decision-making support”.
AUTO-TWIN aims to address the limitations of current system engineering models, introducing a breakthrough method for automated process-aware discovery towards autonomous Digital Twins generation thanks to a data-driven method that is based on a process mining approach.
This is done by adopting a common data space, based on International Data Space (IDS), which enables the automated process of creating Digital Twins, (digital replicas of physical systems), thus making this process more efficient and cost-effective.