For every area of manufacturing, both quality and time are valuable commodities. Perhaps that’s one reason statistical process control (SPC
) solutions—which offer the benefit not just of improved product quality, but of better process efficiency—are so attractive.
The problem is that many SPC software products struggle to move beyond just data collection to offer truly insightful
data analysis. To reveal trends, and enable proactive, strategic analysis, quality pros have typically been forced to export data into spreadsheets and run manual comparisons. Or purchase expensive add-on modules or external analysis programs for their legacy systems and export data into those. It’s a clunky way to do business. It’s outdated and doesn’t address the needs of today’s fast-paced manufacturers.
And those workarounds add up to extra time and work
for quality managers, plant managers, IT staff, and executives. There’s a better way to fully utilize the data you already collect, provide thoughtful analysis that leads to valuable insights into how to improve your operations, and then best utilize your valuable resources to achieve transformational results.
Better SPC Analysis for Proactive Quality Control
The foundational benefit of statistical methods is predicting future behavior from historical data
. That’s why control charts, box and whisker plots, Pareto charts, and the like are so valuable—they indicate that if processes are not changed, then performance (positive or negative) will continue as-is.
The importance of analysis to manufacturing operations can’t be overstated. Over the years, manufacturers have used statistical tools to study historical data to reveal information regarding unique differences between comparable items: shifts, products, machines and processes, plants, lot codes, etc.
Historical information forms the foundation for specifying performance differences between comparable items and if those differences are consistent over time. Control charts are brilliant tools for assessing performance over time, and their related “control limits” are predictions of normal future behavior.
To get a real grip on quality data, it’s time to consider what you really need from analysis:
- The ability to quickly identify and solve issues that crop up on the production line.
- The means to head off issues as soon as possible—ideally before they cause wasted product.
- A way to quickly access, analyze, and communicate data in response to executive, customer, or auditor requests.
- Insight to determine how to make production run as smoothly and efficiently as possible, at as close to full capacity as possible.
To meet these requirements, your quality intelligence solution should enable you to easily find exactly the data you want, from any time period you specify. And it should let you view your data in multiple ways, comparing products, production lines, or even sites or the entire enterprise. And, most importantly, you should be able to make these comparisons without manually juggling multiple spreadsheets.
Sample Enact Analysis Dashboard: Pareto Chart
The key to this level of analysis is centralized and standardized data. The problem is that although many systems claim to use a “centralized database,” their underlying database technology isn’t up to the task of truly unifying your data in a way that enables extensive and complex comparisons.
Modern SPC Analysis for Modern Manufacturing
In contrast, InfinityQS Enact®
quality intelligence solutions are built on a database—a unified, centralized data repository—that enables the following:
- both real-time and historical analysis
- comparisons across products, lines, sites, and more
- big-picture analysis, with the ability to dive into details
- complex data analysis in response to almost any query, from directly within the software
See Only What You Need
In fact, Enact goes so as far as to filter dashboard data according to role and responsibilities, so you are automatically alerted to the information that matters most to you at any given moment. Want to see more details? No problem: You can drill in for a more granular view at any time. There’s no need to export data or manually flip through charts or spreadsheets.
This increased flexibility in the way you view quality data can return valuable time to your operations and quality teams:
- Say goodbye to digging through data or walking the shop floor to find the information you need
- Run analyses and comparisons of any and all data, right from within Enact or ProFicient
- Gain the ability to catch out-of-spec processes immediately and pinpoint variances that occur even when processes are in-spec
Turn to InfinityQS
Our software products are here for exactly what manufacturers need: to analyze data, identify differences in performance, and share that information with users so that corrective actions can be put in place to improve overall performance and quality. In short, our solutions offer manufacturers the ability to transform quality performance across shifts, production lines, plants, regions, and across the enterprise.
Read and Learn More
Want to learn more about the benefits of strategic, automated data analysis?
Take advantage of the technology at your fingertips today: contact one of our account managers (1.800.772.7978 or via our website
) for more information.