Agenda

Invited Talks

Stéphane HUBAC | STMicroelectronics SA
Knowledge Management & Innovation in 4.x (.0 & h) industrial context:
Moving QMS (Quality Management System) from "problem solving" toward "expandable rationality"

 

Dirk Reichelt | University of Applied Science Dresden & Fraunhofer IWU
Fab of the Future: From lights-out manufacturing to robots and humans in the loop


Stéphane Hubac | ST Microelectronics

Knowledge Management & Innovation in 4.x (.0 & h) industrial context: Moving QMS (Quality Management System) from "problem solving" toward "expandable rationality".

Knowledge management, being defined as the process of capturing, distributing, and effectively using knowledge1, is a process that is utilized by individuals and organizations in either a conscious or unconscious way.

Organizations have already invented and implemented multiple forms of knowledge management structures and tools including IA (Artificial Intelligence) inside industrial engineering, methods, marketing, or research laboratories departments. If it was possible to manage the knowledge in the past, then why knowledge management is today coming back as an important research scope for many industries when big data world, advanced algorithms and unsurpassed computer power are available? This question seems to be a paradox. Indeed, in their daily life individuals seems to act by mobilization of available knowledge; on top of that producing knowledge seems to be the aim of every scientific activities; and finally, the nature, the validity, or the knowledge production conditions, are analyzed by deep epistemological studies2. Nevertheless, a new knowledge management crisis is rising in today's industries and associated production lines, like semiconductor industry (SI), when they are challenged by short product life cycle that leads to the continuous development of new products and technologies. In addition, increasing product demand diversity and volume that often result in highmix low-volume production turn manufacturing into a highly complex production environment. Success in such a competitive environment requires not only sustainable capacities but also their efficient utilization rate which may be ensured dynamically through appropriate, optimized, and sustainable QMS (Quality Management System) strategies. Example can be founded in many organizations and department types, highlighting the fact that all operational actors (eg: individuals, Operators, Technicians, Engineer’s, administrative, …) or groups ( R&D, production, process, equipment, human resources (HR), suppliers, customers, purchasing, finance,…), are not able anymore to share they competency in a coherent and efficient way. Sharing competency, and by consequence manage knowledge, in such dynamic context becomes a real nightmare.


This presentation highlights QMS & Knowledge Management operational challenges in 4.x (.0 – Technological & .h -Human) SI industrial context where Human-Tool interfaces & IA has already started to be implemented. Based on operational uses cases, it is shown how a methodology called C-K FMEA34, complementary to Lean and Design Thinking methods, allows to move from “problem solving” to “expandable rationality” 5 and, by this way, sustain QMS to reach ISO-IATF6 norms operational targets in such dynamic industrial & R&D environment.

 

Curricula Vitae: Stéphane Hubac

Stephane HubacStephane Hubac is Manufacturing Science Fellow (Advanced Process & Equipment Control & Knowledge management) on transversal projects at STMicroelectronics. He has been Chairman of ST France Technical College Board of fellow (2016-2019). Since 1981, he has worked in many disciplines within the semiconductor industry including memory device design, manufacturing, process & equipment engineering in lithography, dry etching and dielectric deposition, process control, Quality methods implementation in Manufacturing & R&D contexts. Its special interests include R&D on DFM methods, yield enhancement, productivity, process control and scientific practices in industrial context. He has joined 300mm CR2 Alliance (Freescale, NxP, ST) in the initial phase of the project as a project manager; responsible for the selection of 300mm plasma etching & dry stripping equipment, then manufacturing and R&D ramp-up has an AREA Manager (Etch, Strip, APC programs). He has been leader of the CR2 Alliance APC project, ISOTS audit supervisor for Fab qualification and Process Control Area manager in the Crolles 2 Alliance 300mm R&D facility at Crolles, France and have been involved has work package leader in ENIAC European Project IMPROVE (WP3: Predictive Maintenance), and INTEGRATE (WP5: data Analysis & Yield). Associated with the Grenoble University as visiting Professor on QMS, process control and plasma physics he is also ST representative @ "Industrial Club" of Grenoble INP university and @ Grenoble IMEP-2 doctorate school.


Dirk Reichelt | University of Applied Science Dresden & Fraunhofer IWU

Fab of the Future: From lights-out manufacturing to robots and humans in the loop

These days many buzzwords grab the attention of a wider audience: data science, digitalisation, digital twin, big data, machine learning and artificial intelligence. In this talk these concepts will be briefly introduced and how they relate to each other. In a number of exemplary projects the possibilities of such technologies will be demonstrated - from the semiconductor domain, but also from other domains, like car manufacturing. But also the pre-requisites and, equally important, the limitations of these technology will be mentioned to give a realistic picture of today's technological landscape.


Curricula Vitae
Dirk Reichelt

Dirk Reichelt studied business informatics. He received his doctorate from the TU Ilmenau at the Institute for Business Informatics. He worked for several years in various positions at Infineon/Qimonda. He is a professor for Information Management at HTW Dresden for more than 10 years. Together with his team, he researches and develops innovations for the factory of the future. He has established the Industrial IoT Testbed at HTW Dresden. An Industrie 4.0 model factory where researchers and companies research innovations to increase the efficiency of production processes in a co-creation approach. In addition to his work at the university, he was a manager at Fraunhofer IPMS for several years. Since 2021, he has been working together with Fraunhofer IWU on topics in the area of Future Factory.