A medical device manufacturer installed WinSPC to get insight into its processes.
Company Background
One of the goals of the company team is to put effort into relationships, as compared to viewing business as a series of transactions.
The company, about 30 years old, produces implant components, surgical instruments, and other medical devices. From among these devices, those that aren’t used, are donated to vocational schools in the area, to be used for training.
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Difficulty
Management at the medical device company decided that doing data analytics on a select group of production aspects would be an effective method for improving the quality of the final product.
Solution
To achieve this, the management team set up WinSPC statistical process control to capture and process measurements of implant components, surgical instruments, and other medical devices.
Strategy
First, the team established a digital connection between the company’s Tru-capture measurement stations and WinSPC. Next, with a digital connection in place, the team set WinSPC to capture measurements.
Finally, with the data collection mechanism set up, the management team monitored the data as it came in, did post-production analysis, and set WinSPC to display alerts when potentially problematic strings of measurements come in.
A WinSPC post-analysis view showing data segmented by work order.
The WinSPC services team spent time to structure the company’s production data such that the team can generate the reports they desire. The data structure enables the team to create reports that highlight segments of data, such as:
- Data related to a particular customer
- Data captured at a certain WinSPC station
- Data for a given product name, or product number
- Data captured during fulfillment of a given work order
Additionally, the company intends to use WinSPC’s email trigger feature to send email notifications to different staff when process problems or other events occur.
WinSPC can be set to notify supervisors and others about process problems or other events.
Summary
To summarize, the management team decided doing data analytics on a select group of production aspects would be an effective method for improving the quality of the final product. So, they installed WinSPC, and integrated it with their measurement stations, to capture and process measurements.
Next, the management team monitored the data as it came in, did post-production analysis, and set WinSPC to display alerts when potentially problematic strings of measurements come in. Finally, custom reporting was enabled, and email notifications were set up.
About DataNet Quality Systems
DataNet Quality Systems empowers manufacturers to improve products, processes, and profitability through real-time statistical software solutions. The company’s vision is to deliver trusted and capable technology solutions that allow manufacturers to create the highest quality product for the lowest possible cost. DataNet’s flagship product, WinSPC, provides statistical decision-making at the point of production and delivers real-time, actionable information to where it is needed most. With over 2500 customers worldwide and distributors across the globe, DataNet is dedicated to delivering a high level of customer service and support, shop-floor expertise, and training in the areas of Continuous Improvement, Six Sigma, and Lean Manufacturing services.