Gestion des risques liés aux produits d'ingénierie pilotée par l'intelligence artificielle

Risk Management of Engineering Products Driven by Artificial Intelligence

• Auteur / Autrice : Mingquan Yang
• Direction : Ali Siadat, Jelena Petronijevic, Alain Étienne
• Type : Projet de thèse
• Discipline(s) : Informatique-traitement du signal
• Date : Inscription en doctorat le 23/10/2023
• Etablissement(s) : Paris, HESAM
• Ecole(s) doctorale(s) : École doctorale Sciences des métiers de l'ingénieur
• Partenaire(s) de recherche : Laboratoire : LCFC Laboratoire de Conception Fabrication Commande
• Partenaire(s) de recherche : établissement de préparation de la thèse : Paris, ENSAM

Mots clés

Mots clés libres

Gestion des risques

Traitement du langage naturel

Intelligence artificielle

L'identification des risques

L'analyse des risques

Relation de cause à effet

Risk Management

Natural Language Processing

Artificial Intelligence

Risk identification

Risk analysis

Causal relationship

Résumé

The Ph.D. program, Risk Management of Artificial Intelligence-Driven Engineering Products explores the possibility of using AI tools such as NLP (natural language processing) techniques to analyze, categorize, and predict risks in the design and manufacturing process of different types of products. The thesis project focuses on what AI can do to speed up and simplify risk analysis. Natural Language Processing approaches have the potential to improve the efficiency of data processing and analysis related to product design risk management and identification, tasks that are usually performed manually. Therefore, the thesis project will discover to what extent NLP techniques can automate the process of analysis, categorization, prediction, risk mitigation in product design and manufacturing. The PhD program aims to create a NLP system that reads risk reports previously written by risk experts, understands risk reports, and extracts risk events from risk reports. The PhD program can also identify the risk factors for each risk event and study their interactions. With this NLP system, potential risks with the existing risk management techniques established by the three supervisors of this PhD program can be predicted. This thesis project can offer a solution to many companies that need a reliable tool to help them manage their own risks in the design and manufacture of their products and prevent disasters.

The PhD program, risk management of engineering products driven by artificial intelligence explores the possibility of utilizing AI tools such as (natural language processing) NLP techniques to analyze, categorize, and predict risks in the process of designing and manufacturing different types of products. The thesis project focuses on what AI can do to expedite and simplify how risks are analyzed. NLP techniques can potentially increase our efficiency in processing and analyzing risk-related data about designing and manufacturing products by automating the tasks that require much human labor and time. Therefore, the thesis project will find out to what extent NLP techniques can automate the process of analyzing, categorizing, predicting, mitigating risks in designing and manufacturing product. The PhD program aims to create an NLP system that reads previous risk reports written by human risk experts, understands risk reports, and extracts risk events from risk reports. The PhD program can also identify each risk event's risk factors and study their interactions. With this NLP system,potential risks with existing risk management techniques established by this PhD program's three supervisors can be predicted. This thesis project can offer a solution to many companies who need a reliable tool to help them manage their own risks in designing and manufacturing their products and prevent catastrophes from happening.