The Role of Galaxy Semiconductor in Preventing Unplanned Downtime

By Greg Grzesiak Greg Grzesiak has been verified by Muck Rack's editorial team
Published on October 24, 2023

In the intricate realm of manufacturing, optimal productivity is the ultimate goal. Yet, within this hub of activity, a persistent problem emerges: downtime. It quietly disrupts production, increases expenses, and derails timely deliveries, triggering a domino effect of consequences that extend to dissatisfied customers.

While navigating the complexities of manufacturing is already a challenge, it becomes even more of one when exploring the crucial role of process engineers tasked with monitoring and enhancing these processes.

At the core of these engineers’ work are Statistical Process Control (SPC) charts – crucial instruments in their toolkit. These charts, much like intricate blueprints, visually showcase how data changes over time, giving insights into how stable and predictable a process is.

However, the modern manufacturing landscape has become incredibly intricate. Engineers now have to deal with a multitude of these charts, each requiring careful examination. Extracting useful insights from this abundance of data has become demanding, consuming significant time and effort.

The challenge is made even more complex by the fact that these charts capture data from multiple variables. The complexity turns understanding correlations, causations, and patterns into a puzzle that’s hard to solve. Because of that, engineers spend a significant amount of time trying to make sense of it all, often ending up with fragmented or surface-level insights.

That is where Hyperdrive comes into play. The solution was born out of three years of dedicated research and development by Galaxy Semiconductor in collaboration with their Data Science subsidiary, Ippon Innovation.

Engineered to address the unique hurdles manufacturing processing engineers encounter, Hyperdrive moves away from sifting through charts. Instead, it compiles an inundation of charts into an intelligible, actionable format. By streamlining the data analysis process it empowers engineers to identify significant trends and anomalies amidst the flood of information, similar to uncovering a signal amid a sea of noise.

Hyperdrive frees up engineers’ time and energy for more strategic pursuits. With this newfound capacity, engineers can concentrate on critical aspects like process design, strategic experiments, and a thorough overhaul of the manufacturing process. Moreover, Hyperdrive empowers engineers to anticipate potential problems days ahead, effectively reducing the significant expenses linked to unexpected downtime.

As recently shared at the semiconductor industry trade show Semicon West, the efficacy of Hyperdrive was rigorously demonstrated in a collaboration between Galaxy Semiconductor and a major US-based chip fabricator. Prompted by a long-standing industry association, engineers sought to explore Galaxy’s innovative approach to predictive equipment issue identification in their manufacturing operations.

The questions they set out to answer were significant: Could they improve predictions of manufacturing equipment issues? Could they effectively reduce unplanned downtime? And could they enhance overall yield by identifying equipment issues earlier in the process?

The resounding answer to all three questions was a resolute “yes.” The true test of Hyperdrive’s capabilities lies in its interaction with the complexities of the manufacturing data. Despite the challenge posed by frequently transitioning between different products, Hyperdrive astutely detected unusual events within the data.

Most notably, it achieved the remarkable feat of predicting an impending equipment failure a staggering three days in advance. A remarkable aspect of this achievement is that Hyperdrive effectively addressed data gaps within the dataset, ensuring the accuracy and reliability of its predictions. This venture between Galaxy Semiconductor and their collaboration partner establishes a new benchmark for predictive maintenance and process optimization within the manufacturing landscape.

By transcending the conventional limitations of data analysis, Hyperdrive empowers engineers with the means to navigate the complexities of modern manufacturing seamlessly. The collaboration serves as a testament to the tangible impact of Hyperdrive, underscoring its potential to revolutionize manufacturing processes, mitigate unplanned downtime, and propel the industry toward unprecedented levels of efficiency and innovation. To learn more, visit the official website.

By Greg Grzesiak Greg Grzesiak has been verified by Muck Rack's editorial team

Greg Grzesiak is an Entrepreneur-In-Residence and Columnist at Grit Daily. As CEO of Grzesiak Growth LLC, Greg dedicates his time to helping CEOs influencers and entrepreneurs make the appearances that will grow their following in their reach globally. Over the years he has built strong partnerships with high profile educators and influencers in Youtube and traditional finance space. Greg is a University of Florida graduate with years of experience in marketing and journalism.

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