Preventing both warranty issues and field problems due to lack of product reliability.
February 11, 2022
When faced with potential reliability issues, original equipment manufacturers must quickly find the root cause and determine the risk for other equipment still operating in the field.
The digital transformation of manufacturing is broadening the toolkit and opportunities for Six Sigma’s DMAIC process.
February 10, 2022
Greg Kinsey, Industry Executive at Hitachi, reveals how creative uses of the DMAIC process with digital transformation are helping factories to unlock the next level of process improvement.
Here we'll cover the specifics of a capability analysis and several sticking points in interpreting and taking action on information from the analysis.
In their day to day work activities, both quality and manufacturing professionals are involved in conducting audits; collecting, analyzing, and interpreting data; plus preparing a variety of reports and summaries of the data to document product quality.
Quality is based on a series of facts and statistics collected and analyzed. To produce a quality product—and continue producing a quality product—you need data.
At the end of the day, nothing matters more than customer satisfaction. Fundamentally, this sounds quite simple; make the customer happy, and all is well. Keeping customers happy and loyal to your brand, however, is not as easy as it sounds.
Data collection on the factory floor can be a challenge. Even the smallest enterprise can generate massive amounts of data, and collecting this data is only a first step on the path to a successful IIoT project.