Regardless, a lack of quality can destroy any manufacturing organization’s reputation and profits. Whether you’re a small manufacturer or a global organization, quality matters.

Here’s how manufacturers can make the most of their quality efforts, saving cash, time and resources in the process.

Make the Most of Your Data

Too often, quality-related data is collected manually, collecting dust on paper, or siloed randomly in spreadsheets. While leaders must collect it, they’re not sure how to put it to use.

With the methodology, leaders can transform their data to boost operational performance.

First, leaders must maximize their existing setups and pull in quality data directly from their processing lines and equipment. They should skip paper checklists, which are time consuming, inevitably result in human error and don’t deliver insight.

Instead, leaders should seek out quality SPC software that can handle the following:

• An intuitive dashboard that clarifies the roles of production floor personnel
• Timed inspection tracking
• Automated alerts and notifications
• Control charts and analysis tools
• Self-serve, easy-to-generate reports

The ideal quality management solution helps leaders decide which types of information to collect, how often, and at what level of detail. It should help leaders to understand how to establish production parameters and it should alert them when quality drifts beyond those limits.

Modern quality management software should immediately notify operators when production problems come up and should correct the process before making any bad products are made. This helps avert expensive product holds or potential recalls.

An ideal quality management system will help leaders to gather the right kind of data — information that is relevant to their businesses and makes sense to their operators. The solution should gather the data in real time and should store that data in a centralized database for use in strategic decision-making.

Merge Data

A unified, cohesive data repository is essential. Too often, manufacturers neglect their data. Siloed, non-standardized, and difficult-to-integrate information is not useful.

Instead, operators who gather data from every plant and production line, and compile it for analysis, can learn valuable information about their own weak spots. Through a centralized storage and reporting system, they can get a big picture view of their operations, regardless of location. By rolling up data across their entire organizations, leaders can spot waste, excess costs, and opportunities to boost product quality and consistency across lines and plants.

This is how leaders earn solid returns on their quality management software investments.