Ph. D. Project
Model-based standards development ecosystem for the factory of the future
2019/10/01 - 2022/09/30
Other supervisor(s):
Sylvère Krima (
Project description:

Recent advances in information and communication technology have led to a digital revolution in the manufacturing world. Paper-based 2D drawings and unstructured data sources (spreadsheets, text documents, email, ...) are being replaced by structured digital data models embedding different types of information (e.g., product design, manufacturing equipment, process data ...). Through this new paradigm, smart manufacturing requires that digital product data be shared and exchanged among numerous engineering applications and information systems. Through its entire lifecycle, a product generates an enormous amount of data in response to different processes (e.g., design, manufacturing, inspection) and business needs (e.g., technical, commercial, regulatory). This data is often critical to every organization that plays a role in the product lifecycle. This is where the organizational contribution and value reside.
One of the main enablers of this new product data management strategy is the use of product information standards. These information standards are a key to integrating and exchanging the different product models produced during the product lifecycle and across the engineering applications. Different IT systems consuming and generating product data need a common language to exchange information and understand each other. Information standards provide an agreed upon data format and definitions to exchange and share knowledge about a product and its lifecycle.
These product information standards often rely on a complex framework and set of information artefacts including, but not limited to, platform independent information models, platform specific implementation models, business rules, documentation, and a conformance and validation testing environment. Unfortunately, due to the complexity of standards and their lifecycle, the heterogeneity of a standard ecosystem, and the vast domain they cover, the different information artefacts are often not consistent one with another and lack a formal development and validation strategy.

The PhD research work aims at identifying and formalize a development and validation framework to produce better quality information standards by improving the coupling, consistency and homogeneity between the different information artefacts.

Expected outcomes:

The expected results of this research thesis is the development of a framework that will be used to improve existing product information standards such as the ISO 10303 Automation systems and integration - Product data representation and exchange standard series, informally known as STEP, a key enabler of the smart manufacturing initiative.
STEP, product models, interoperability, factory of the future
Phd with NIST, USA. THe candidate will be a guest researcher at NIST for 3 years
Eco-Technic systems engineering