PLAT4M project defines a platform-based quotation model for mechanical components, highlighting AI's role in enhancing efficiency.
The increasing digitalization in the manufacturing industry, the development of digital models (Digital Twins) representing products, processes, resources, and systems, as well as the adoption of AI to support classification and automatic reasoning approaches, are paving the way for the raise of platform-based business approaches for manufacturing very shortly. The PLAT4M project aims at defining a general modelling framework, and supporting methodologies, enabling a platform-based quotation approach for mechanical components. Within this framework, customers will be able to submit technical specifications of the requested products and receive a quotation in terms of costs and delivery date. In this work the ongoing activities related to the developing of the AI-based approach for generating process plans and characterizing process steps for turned parts is presented.
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Antonio Scippa (2025) studied this question.
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