A contemporary approach to statistical process control (SPC)—using real-time quality data—can help manufacturers reduce scrap, comply with regulations and standards, and meet customer requirements.

Today, manufacturers shoot for zero defects, constantly pursuing improvements that empower them to minimize scrap, waste, defects, and rework; boost product quality; eradicate variation in processes and sustain compliance with regulatory and customer requirements.

Manufacturers are already producing data. For organizations to get full value from that information, they should choose a Statistical Process Control (SPC) solution that configures notifications, automatic alarms, emails, and process alerts.

This helps businesses to get visibility into areas that need improvement, easily prioritize the most efficient improvements, and systematize best practices.

For example, SPC helps manufacturers streamline data collection from any process point and in any way that fits their needs: from manual tools to automated points like Internet of Things (IoT) connections, Programmable Logic Controllers (PLCs), pre-existing databases, and manufacturing execution and enterprise resource planning systems.

SPC tools also help businesses gather data from numerous plants, product codes, production lines, and features—and feature that information on one dashboard. It allows organizations to collect the data that matters most without extra work or purchases and aggregate it in one place, forming a top-down view of processes.

Alerts will help with quality, too. For example, timed collection alerts ensure reporting consistency: early warnings through real-time alerts helps businesses reduce the performance or quality variations, and real-time alerts empower companies to pinpoint out-of-spec, root causes.

Armed with these insights, businesses can dramatically improve their quality and are better prepared to achieve zero defects.