ASQ Quality Management Division arranged a Webinar session and session #12 named “Managing for Quality Amidst Digital Turbulence” on 17th Nov 2020. This webinar aimed to illustrate how quality management could be presented as a viable methodology in the emerging digital age and how transformation would be necessary to address changing priorities. Dr. Gregory H. Watson was the guest speaker. Firstly, he briefed some major implications for quality.
Then Dr. Watson introduced Quality 4.0 that
is the digitalization of quality. Its
application separated into three key areas and they were digital technologies,
productive system and profound knowledge.
Two applications were discussed and they were leveraging digital
technologies (e.g. AI, ML/DL, Neural Networks, Blockchain and Augmented
Reality, etc.) and integrating productive systems (e.g. H/W & S/W mechanisms
of production, information, data collection, etc.) so as to improve
productivity and reduce human error.
And then he explained the objective to obtain
profound knowledge that had four dimensions and they were “Structure of Systems”,
“Statistical Thinking about Process Variation”, “Learning to Develop Knowledge”
and “Psychological Impact”. Dr. Watson
also explained how quality activities supported digitalization
After that Dr. Watson discussed the
production system as thinking system. Digital Twin models were employed for
operation system.
He also introduced some technology areas included in Quality 4.0. It started from data flows and using technology to learning and applying that data implication.
He then mentioned the data clouds which separated
by external public cloud and internal private cloud. We observed that QMS to be performed between
two clouds for data integration, alignment and predication.
Finally, Dr. Watson reviewed the essential
four steps of information quality criteria from inclusiveness to integrity to
intensity and then to insight. However,
we needed to avoid the cost of bad data!.
Lastly, Dr. Watson concluded Quality 4.0
challenges that we needed to understand and accept such challenges. That
included technological change, process design question, system engineering the
integration of novel technologies in existing operation system, etc.
Reference:
ASQ QMD - https://my.asq.org/communities/home/28/
ASQ event - https://my.asq.org/communities/events/28
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