Why does quality need to evolve?
Traditional quality systems rely on a complex range of inputs. From machine-generated data to human inspection and paper forms. Let’s face it, on most shop floors, managing and ensuring production quality is prone to human error.
You aren’t alone. Quality management challenges are (almost) universal:
- Without digitised quality metrics, quality data is not accessible enterprise-wide. When data is not visible and difficult to correlate across manufacturing operations, quality leaders require tedious manual analysis to accurately ensure compliance to quality standards.
- Trends can be difficult to spot and root cause requires manual analysis. In traditional quality management systems,historical quality data needs to be manually analysed to see trends and recurring quality issues.
- Every operation has a different approach to quality management. Some machines or processes may be very automated with control check-points. Others could have manual quality checks at the end of the process. This disjointed quality management system has inefficiencies and opportunities for human error.
- Material issues and batches are difficult to track. If quality data is stored in various folders – whether paper-based or digital – across a number of machines and processes, it slows down and limits quality teams to trace quality issues.
With quality teams stretched over a factory, or even multiple sites, complex challenges for quality leaders cause extra work and disconnected process flow. READ MORE >Â
Introducing Quality 4.0:
Quality 4.0 is the quality management system of the future. It uses real-time and historical production data to streamline compliance, enterprise-wide visibility, traceability a
Centralised Data: Having all quality data centralised means details are easier and faster to pull. Organisations need a way to collect quality data from anywhere and turn it into actionable insights. Quality data visibility is necessary for success – which may mean moving beyond today’s siloed quality systems.
Artificial Intelligence: AI for manufacturing quality control can find correlations and trends that people may be unable to see. As data is continuously compiled, analysed, and stored, AI-powered Machine Learning can perform real-time analysis to predict quality issues, immediately flag potential problems, and optimise quality process flows. AI generates tailored data and takes care of complex statistical analysis in seconds, allowing your quality team to focus on the product and not paperwork and spreadsheets.
Increased Collaboration: Quality information will no longer be contained only within LIMS and quality systems with visibility limited to the Quality Engineer and quality teams. These integrated systems help facilitate the collection of quality data at the source and digitise in real-time.
And the bottom line is? With Quality 4.0, integrating AI, Machine Learning and Big Data into your factory’s end-to-end quality system gives quality teams the most accurate and integrated data from which to make decisions. READ MORE >Â
Want to streamline quality management systems for Industry 4.0? Think specific and pertinent information. Here are the top success factors for quality management in the Factory of the Future:
- A robust, factory-wide data management system is crucial to maximise Quality 4.0. Cloud-based, secure data correlation powered by shop floor gateways.
- Transparent quality information that can be instantly shared and viewed in a secure digital platform makes assessing and rectifying quality issues intuitive and efficient.
- Whether assessing past quality issues or making instantaneous adjustments to production output, Quality 4.0 relies on the constant flow of data to optimise quality, perform intelligent root-cause analysis and support your factory’s sustainable future growth.
Seamlessly integrate your quality system with third-party MES, maintenance, and alert systems to better monitor events from any point in the process flow. Quality 4.0 will let you control how and when messages are relayed to your desired endpoint API.
