7200x Faster
to scale primary data collection and modelling
Within 8-12% Accuracy
when compared to manual results modelled by LCA experts
Vishay, a global leader in complex active and passive semiconductor components, faced challenges collecting primary emissions data and validating its accuracy. The manual LCA process required extensive human intervention, frequently causing errors such as double-counting emissions like Direct Bonded Copper or inconsistent modelling of the same product (e.g. cable generic vs. copper and manufacturing process). These inaccuracies reduced confidence in data and slowed Vishay’s ability to respond quickly to customer requests and identify key emissions hotspots.
By adopting Sluicebox’s Generative LCAs, Vishay automated and greatly accelerated the primary data collection and validation process. Sluicebox incorporates manufacturing processes at a granular level—down to solder paste, flux, and adhesives—delivering high-fidelity insights for complex semiconductor components. Detailed manufacturing inputs were efficiently integrated through AI-driven analysis, systematically flagging potential inaccuracies and errors. This significantly improved data reliability and consistency, allowing Vishay to quickly pinpoint emissions hotspots. For example, the component “Pin Pressfit” was rapidly identified as a critical raw material hotspot, contributing on average 61% of the raw materials phase emissions across assessed products.
Accelerated Data Collection: Reduced analysis time per component from approximately 2 hours to mere seconds, achieving a 7200x acceleration in primary data processing.
Exceptional Accuracy: Achieved emissions calculation accuracy within 8–12% of manual LCAs, significantly surpassing the industry-standard variability range of ±17.38 to 46.73%, as demonstrated by Zhang (2024) in the DeltaLCA study.
Automated Error Detection: AI systematically identified and flagged data inconsistencies and errors early in the analysis, continually improving the integrity of primary data used for emissions calculations.
Rapid Hotspot Identification: Quickly highlighted critical emissions hotspots, empowering proactive emission reduction strategies.
to scale primary data collection and modelling
when compared to manual results modelled by LCA experts
Through Generative LCAs, Vishay dramatically improved the speed, accuracy, and reliability of primary data collection and validation, enabling rapid scaling of trustworthy emissions data. This transformation significantly enhanced Vishay’s strategic sustainability capabilities and responsiveness to customer demands for accurate environmental information.
Vishay Intertechnology
“Sluicebox accelerates scalable, trusted primary data collection at the manufacturing-site level, using AI to proactively flag errors and drive deep insights—enabling Vishay to confidently meet customer sustainability demands.”
Susan Monroe
Director of Sustainability and ESG, Vishay Intertechnology
Scaling Carbon Footprint with Scale and Precision
Accelerating Primary Data Collection and Accuracy with AI
Achieving Precision by Overcoming Spend-Based Limitations
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