Why and how Quality has to shift and run at the pace of Innovation? From EDQC 2024
In this presentation Patrick Husmann emphasized the need for businesses to embrace innovation to meet modern demands, ensuring high quality, operational efficiency, and customer satisfaction.
Key Points Addressed:
- Focus on speed, precision, reliability, and cost control to drive decision-making and operational success.
- Implement transversal approaches to foster collaboration across departments for reliable, innovative methods.
- Adopting Proactive Quality Forecasting: Shift from traditional quality control to real-time analytics, statistical models, and AI for predictive quality management and stakeholder satisfaction.
- Adapting to Generational Changes: Recognize evolving expectations and leverage technology such as AI to anticipate future demands while engaging teams effectively.
Shifting to proactive quality forecasting with real-time analytics and AI enables businesses to meet stakeholder demands while adapting to generational changes. This innovation ensures quality, sustainability, and long-term success in a competitive market.
What to remember?
- Our success relies on speed to market, operational efficiency, cost control and exceptional customer service, ensuring high quality and safe products while minimizing delays and waste.
- Developing methods as team in a transversal quality (& food safety)-time-cost company context is our mission.
- AI it’s a tool to analyze data quickly , find informations and prepare summary, save time. If we educate AI, use it as a partner, we will enrich the result and be more powerful and fast to analyze the trends, propose hypothesis, simulate evolution etc.
- We have to shift from traditional quality control to proactive quality forecasting using real-time analytics and statistical models as well as AI to anticipate and meet the demands of our stakeholders and at the same time adapt to generational changes.
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