Atlanta – TrustedParts.com is pleased to announce a partnership with Sluicebox, an AI-Accelerated product life cycle assessment (LCA) platform revolutionizing carbon intelligence within the electronic components industry. This integration enables approved OEMs to view powerful, precise carbon footprint data from Sluicebox directly in the TrustedParts.com Bill of Materials (BOM) tool, highlighting high-emission areas early in the design process. Component manufacturers now have a breakthrough solution: when customers request carbon footprint data, they can now be directed to the TrustedParts.com BOM tool for instant, auditable product footprint values.
Preferred by some of the electronics industry’s largest brands, peer-reviewed, and audited by third parties, Sluicebox’s methodology provides reliable carbon emissions estimates. Sluicebox’s generative LCA technology utilizes AI to calculate carbon emissions at the electronic component level. Unlike traditional approaches, this solution provides faster, more accurate, and ISO-compliant results by modeling production processes and verifying them with validated data sources.
“ECIA and some of our members have been working with Sluicebox to vet their methodology,” explained ECIA SVP Victor Meijers. “We are now convinced that their technology is the most accurate one in the industry for calculating the CO2 of electronic components at the part number level. By offering access to this data via TrustedParts.com we are helping to give engineers the ability to quickly incorporate eco-design into their processes.”
“This integration puts instant, accurate carbon footprint data at engineers’ fingertips right where they need it—in their BOM tool,” said Elmar Kert, CEO Sluicebox. “Now OEMs can make carbon-conscious design decisions without slowing down their workflow.”
Sluicebox carbon emissions data is only available to original equipment manufacturers (OEMs) who have a verified TrustedParts.com account. Carbon emissions estimates calculated on TrustedParts.com may not be shared with third parties.|
To learn more about using this helpful integration, review our Carbon Footprint Estimates documentation.
Sluicebox has developed a white paper to explain the research behind their solution. This complete white paper can be downloaded from the TrustedParts.com blog.
This well-researched and peer-reviewed whitepaper was authored by electronics industry experts and a team of researchers from the fields of AI, electronics, and sustainability, including Dr. Sandeep Chinchali of the University of Texas at Austin; Sridhar Nagarajan and Mrinalini Iyer at Western Digital; Susan Monroe at Vishay Intertechnology; John Archer at TTI (a Berkshire Hathaway Company); and Elmar Kert, Emi Ayada, Piriya Sugumaar, and Sarah Tang from Sluicebox AI.
The paper carefully sets the stage by first comparing methodologies currently in circulation for computing carbon emissions, including spend-based, process-based, and hybrid approaches.
The Five Myths about Carbon Emissions
The paper debunks five myths about emissions in the electronics industry. Clarifying these misconceptions is essential for executives and stakeholders, they assert.
- Myth #1: Spend-based calculations are “good enough.”
- Myth #2: Process-based LCAs are too expensive and time-intensive.
- Myth #3: Suppliers can readily provide comprehensive data.
- Myth #4: Primary data is always the most accurate.
- Myth #5: Carbon data is only for regulatory compliance.
The bulk of the paper outlines how Sluicebox’s proprietary AI model, which has been fine-tuned for the electronics industry using ECIA’s subject matter expertise, outperforms generic models.
To verify the accuracy of its dynamic real-time LCAs, Sluicebox has benchmarked its accuracy against human expertise. They used a widely adopted LCA quality evaluation system that assesses data accuracy based on technology, geography, and data recency.
The researchers then present results from three case studies implementing Sluicebox’s real-time LCAs for carbon intelligence at Western Digital, TTI, and Vishay. In each case study, a comparison is made of how LCAs were generated before and after the implementation of the Sluicebox approach.
EMSNOW interviewed Victor Meijers and Elmar Kert in a recent Up Close video that can be accessed at this link.
