Unlike traditional inspection, which detects defects after production, the modern approach to minimize defects is data driven and proactive monitoring and control of the manufacturing process itself. Enter statistical process control (SPC).
Chemical manufacturers face numerous improvement opportunities, but several general categories apply across the industry. The seven challenges outlined are key quality issues that organizations encounter, regardless of their current quality status.
Quality professionals are using statistical tools, originally meant for product quality control, to tackle climate change. For example, control charts that monitor manufacturing variations are now tracking energy consumption, identifying spikes, and measuring carbon emissions.
In manufacturing, process consistency is key. But consistency can be elusive— after all, variables that cause variation can be endless. Unfortunately, variation inevitably leads to defects. That’s why the right monitoring system matters.
Through data-driven product optimization, overseeing defect density levels and examining customer feedback and purchasing trends, statistical analysis can help manufacturing companies make better, more informed decisions.
April 11, 2022
Manufacturers use statistical and rule-based analysis of manufacturing data to better understand and improve their processes. They also use it to pinpoint and strengthen best practices, react quickly, and foresee potential problems before they disturb product quality, yield, or cost.
Real-time SPC, otherwise known as in-line SPC, is characterized by employing SPC during production.
March 16, 2022
Manufacturers need proper automation, machines, and software to manufacture products faster and keep up with evolving customer demands. As production capacity increases, these businesses must boost their quality control capacity while reducing quality costs.
Championing process improvement and waste reduction efforts in the rubber manufacturing field.
February 14, 2022
A world leader in rubber compounding needed to meet increasing customer expectations and heightened sustainability recommendations while continuing to grow and improve their business.
Two adjacent hospitals merged and grew patient volume by 40% on their Medical/Surgical and Cardiac units. To manage the increase, the project team at LVHN investigated opportunities to improve patient flow and staff satisfaction.
February 11, 2022
How LVHN used Lean Six Sigma tools and Minitab statistical analysis to achieve improvements in patient-centered care.