Beacon Quality Blog

Implementing layered process audits (LPAs) in your facility can mean conducting hundreds of audits every single month, a process that generates a large volume of quality data.

As manufacturers lean into Industry 4.0 initiatives, that volume of data is only growing. But according to Forrester, up to 73% of data within businesses never gets analyzed.

How can automotive and aerospace manufacturers leverage more of their LPA data to maintain steady progress towards their quality goals?

The answer lies in dashboarding, which allows teams to keep their most important metrics front and center for more effective communication and goal-setting. This post looks at some of the most critical numbers to focus on in order to ensure your LPA program is effective at driving down defects, complaints and costs.

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Every day we glean insights from signals that show when a change is coming or we need to take action.

The smoke alarm goes off when you’re cooking, alerting you to turn down the burner. Your engine starts making a funny noise weeks before your car breaks down. That old injury starts to ache just before a storm front moves in.

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Layered process audit (LPA) programs generate prolific data from process audits that take place as often as multiple times per shift. Distilling actionable insights from the data sets can be overwhelming, so it’s important to ask—are you looking at the right data?

The answer lies in using a mix of both proactive and reactive data, and focusing on the critical few metrics driving your most important quality goals. Companies must also leverage internal resources to take action quickly, rather than getting bogged down in data collection and analysis.

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