Transformation numérique : Méthodologie de conception et d’intégration d’un jumeau numérique d’une chaîne d’approvisionnement

Abstract

Industry 4.0 is an industrial revolution that forces companies to be innovative and digitally transform their manufacturing or service operations. This transition to digital introduces new technologies such as IIoT, artificial intelligence, cloud computing, integration and connectivity between systems, cybersecurity, big data and digital twins. Although several industrial sectors are in transformation and many questions are still unanswered about this concept of Industry 4.0, it carries a guarantee allowing more effective control and organization of the value chain. This concept can bring significant advantages such as the reduction of manufacturing and maintenance times, and an improvement in quality and operational performance. The digital twin is a technology promoted by Industry 4.0 and it is attracting a lot of interest from industry and academia. There are many types and applications of a digital twin. A digital twin is a digital model of an asset or physical entity that adapts and evolves based on its counterpart. This research project is interested in operationalizing a supply chain digital twin (SCDT) using a simulation model and machine learning. This thesis is intended as a testimony of the experience acquired, the issues and problems encountered during the design and development of a digital twin in collaboration with the engineering firm SimWell Consulting & Technologies. The different elements reflected in this thesis translate into a design and implementation strategy. In other words, this thesis is a relevant tool for anyone interested in developing a digital twin. This knowledge makes it possible to start new projects with a more solid foundation and less uncertainty. The project in question took place in four methodical stages i.e.: (1) Literature review on elements relevant to development, (2) Design and development of the digital twin, (3) Drafting of a design and integration methodology and (4) Validation of the strategy with a real business case. The proposed methodology addresses topics such as opportunity validation, required expertise, change management, digital and organizational maturity, technology, architecture, product development, cost, risk, and design issues. Using this methodology on a specific business case made it possible to make observations and identify certain shortcomings. These recommendations apply to the case study but are just as relevant for upcoming new projects.

Date	12 Nov 2022
Original language	French
Awarding Institution	École de technologie supérieure
Supervisor	Michel Rioux (Supervisor)