With two of the world's most prominent Industrial Ecologists, Dr. Tim Smith and Dr. Yi Yang leading the way, TASA's in-house team of scientists, and their global collaborators, have created products and services to optimize your emissions strategy, powered by the latest scientific advances in supply chain management.
Yang, Y., Ingwersen, W.W. and Meyer, D.E., 2018. Exploring the relevance of spatial scale to life cycle inventory results using environmentally-extended input-output models of the United States. Environmental modelling & software, 99, pp.52-57.
Learn more about the science behind TASA-EFX emissions factors including our National Models and rLCA Models.
Learn more about the science behind TASA's custom built Hybrid Path Emissions Management Tool.
Access the Read Me Documentation that details the data behind our EEIO tables and rLCA models.
The following case study summaries provide brief examples of how our expertise has been leveraged in various ways with different types of customers.
PROBLEM
A Fortune 50 company sought to explore procurement scenarios by comparing unique sources of primary steel and aluminum and measuring the embedded downstream emissions from these commodities in their supply chain.
SOLUTION
TASA deployed Hybrid-Path, combining TASA-EFX country-specific EEIO data, hybridized with Climate Trace process LCA data (satellite-enabled, facility-level capacity data (developed by Climate Trace and GEI).
TASA produced Hybrid-Path emissions factors for steel and aluminum purchases across the client’s supply base, providing deep, multi-tier, and locationally-specific carbon insights.
OUTCOME
TASA created a parameterized tool that allows the client to compare the emissions from different sources of Steel and Aluminum and procure these metals strategically. This allows for a lower carbon footprint and informs corporate reporting and future compliance with increased regulation under the EU’s Corporate Sustainability Reporting Directive and Carbon Border Adjustment Mechanism.
PROBLEM
A Fortune 15 client sought to engage with its suppliers, align ambition, and secure emissions reductions to meet its Net Zero goals.
SOLUTION
TASA built and currently implements a data-driven supplier engagement program that:
OUTCOME
The program has helped identify millions of dollars of emissions exposure risk in the client’s supply chains, and to date has worked with key suppliers to document >40% emissions reduction commitments, program wide.
PROBLEM
A network of supply chain actors and a semiconductor industry consortium building process-based life cycle inventory data wanted to accurately baseline industrywide emissions and explore reduction scenarios.
SOLUTION
Hybrid-Path emissions factors were defined at the component level using a combination of data from different sources:
OUTCOME
Each company in the consortium was able to baseline emissions of each characterized component and attribute investments in renewable energy and abatement technologies to emissions reduction targets.. Consortium members were able to estimate the impact of projected interventions and devise strategic sourcing strategies to mitigate the embedded emissions in their value chains.
What do you do once you have set a public-facing “moonshot” target to reduce supply chain-wide emissions by more than 50% by 2030?
You assemble a best-in-class team of scientists and practitioners to help you design and implement an award-winning program. One that engages your most carbon-intensive suppliers, builds trust and common ambition, and monitors progress and assurance over the short- and long-term through scorecards and dashboards.
Recognized early-on by the Sustainable Purchasing Leadership Council for advancing supplier engagement best-practice, TASA worked with Microsoft’s hardware systems infrastructure team to identify key supply partners, develop capacity for effectively exchanging data, and deploy TASA’s Hybrid-Path methods - generating digital twins of suppliers, procured components, and services to baseline and track each suppliers’ unique commitments and performance.
Contact us to learn how TASA might help you scale your scope 3 strategies.
Dr. Timothy M. Smith is CEO and managing partner of TASA Analytics, and professor of sustainable systems management and international business at the University of Minnesota.
Dr. Smith founded TASA in 2020. Since then, its primary practice has grown around scope 3 GHG emissions management, with advisory services and global data sets adopted by some of the world’s largest corporations and most innovative start-ups and NGOs. Throughout his career, Dr. Smith has significantly contributed to the understanding and application of sustainability performance measurement and decision-making within the contexts of supply chain management, product/process design, marketing, and public policy. In collaboration with partners, Smith’s work has attracted more than $50 million in research support from governmental agencies, nongovernmental organizations, and corporations. Dr. Smith's research has appeared in top-tier scholarly journals and has been highlighted in countless popular media outlets. Smith has also served as an advisor to the US Environmental Protection Agency, US General Services Administration, American National Standards Institute, National Research Council, Center for Green Market Activation, and Sustainable Purchasing Leadership Council, among others.
Dr. Yi Yang is the Chief Science Officer and partner at TASA Analytics, and professor of environmental and ecological engineering at Chongqing University, China.
Dr Yi Yang is a world-renowned scholar of sustainable systems development and climate change mitigation and adaptation. Dr Yang received his Master's degree from the University of Minnesota and his PhD degree from the University of California, Santa Barbara. Dr Yang has over 15 years of research experience in environmental life cycle assessment (LCA), environmentally-extended input-output modeling (EEIO), and hybrid-LCA approaches. Among others, he co-developed one of the most widely used EEIO models, USEEIO (or US-EEIO), which is part of the Sustainable Materials Management (SMM) program run by the USEPA. USEEIO has been used by leading corporations like Amazon, GM, and Merck, government agencies like the US Department of Energy, national research labs like the NREL, and scholars in leading universities around the world including Yale, Princeton, MIT, and Northwestern.
TASA Analytics, LLC
Minneapolis-Saint Paul, MN, USA
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