| KEYWORD |
Management of the manufacturing know-how through the integration of ERP, PLM and MES
Thesis in external company
keywords INDUSTRY 4.0, MACHINE LEARNING, AI, PLM
Reference persons GIULIA BRUNO, FRANCO LOMBARDI
Research Groups Gestione della conoscenza nello sviluppo prodotto/processo
Thesis type APPLIED, EXPERIMENTAL
Description Product Lifecycle Management (PLM) is the organizational process that allows the management of products throughout their entire life cycle. The main objective of PLM is to support people, data and procedures involved in product development, production and after-sales services so that the entire value chain and the quality of the product are under control. Nowadays, particular attention is paid to OKPs (One-of a-Kind Products) which still have high development costs despite new technological processes (rapid prototyping, additive manufacturing, etc.). Improving product quality and process reliability requires maximizing collaboration between the players involved.
In this framework, the development of work cycles and production tools, including the adaptation of product characteristics and functional requirements, is a fundamental step in the development phase of an OKP.
The purpose of the thesis is focused on this step, where manufacturing companies reuse their know-how to adapt the quality and costs of a new product (OKP) to the facilities available in the factory (in-door) or at suppliers.
In particular, the thesis will address a case study in the automotive field with the aim of developing an intelligent system, based on the integration among the main enterprise information systems, i.e., ERP, PLM and MES, so as to:
- acquire production experiences, classifying and archiving related data and models,
- make this information available and usable in the various stages of product development,
- program the cycles and production activities, internal and external, in accordance with the established deadlines.
Required skills Production systems, production programming, process representation
Deadline 29/09/2023
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