In many production settings, machine operators are tasked with monitoring processes by taking samples and making adjustments as needed to maintain productivity. However, there's a question worth exploring: What if ignoring these data-driven adjustments and allowing the process to continue unchanged is a better strategy?
In their upcoming session at The Quality Show South, Sophronia Ward, PhD and Mark Nash CSSMB, will discuss the best ways to use data, how to use software without letting it use you, and other ways to improve your manufacturing processes.
Enable a manufacturing quality-driven collaboration between suppliers and buyers to eliminate interpretation, reduce costs, risks, and expedited delivery time.
A leading aircraft manufacturer faces $27B in losses due to slow supply chain fixes, aggravated by escalating quality standards like AS9102 Rev C. The solution lies in seamless communication of requirements from buyers to suppliers, streamlining operations for all parties involved.
DOE is a method that helps manufacturers improve processes by understanding the relationship between factors and the output. It involves defining the problem, selecting the right design, conducting the experiment, analyzing the results, and implementing changes.
Microscopy systems must ensure data integrity and process reliability to meet regulatory requirements with a software solution providing the respective functionalities such as Audit Trail, Electronic Signatures, and User Management.
Data visualization transforms complex data into clear insights through charts and graphs, helping users quickly spot and address production issues and make informed decisions.
An Industry 4.0 mindset and a “lights-out” style of operation is driving quality and manufacturing teams to integrate measurements and process controls more tightly. The hope is that localized, closed loops will provide great benefits, including lower manufacturing costs, lower labor costs, and improved product quality.