Home » Topics » Next Generation SPC & Quality Analytics
Manufacturers use predictive maintenance software to help tie the probability of equipment breakdowns, and they can use that knowledge to schedule machine preventive maintenance and manage production.
May 6, 2022
Machine downtime can be expensive. It eats up profits, repair costs, and time that could otherwise be devoted to labor. Organizations can avoid this by proactively observing the condition and performance of their equipment, enabling them to predict and prevent machine failures.
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.
Digital transformation is about applying technologies to re-invent operational capabilities and competencies, to achieve a targeted future state.
February 14, 2022
Greg Hitachi has over 30 years of experience working with the manufacturing industry, mainly in the automotive, electronics, aerospace, and consumer goods sectors around the world. Learn about his vision for digital transformation.
Monte Carlo Simulation uses a mathematical model of the system, and the simulation provides expected values based on an equation defining the relationship between the inputs and outputs.
February 14, 2022
Testing potential improvements can get complicated then you’re working with multiple suppliers in different steps of a process. Using a Monte Carlo Simulation can help illuminate the results you’d like to see, while saving time and money compared to running tests on real parts.
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.