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JUNE 2023 I SMT007 MAGAZINE 23 equipment pieces. Products can be classified into distinct categories with common attri- butes that produce certain levels of environ- mental impact depending on their component make-up, assembly, usage, and design life. ese classifications are sorted into compo- nent categories comprised of similar materials and manufacturing processes. Components are analyzed regarding their respective contributions to the environmen- tal impacts associated with the manufacturing stages. Categorizing these ICT components offers a means of producing a concise list that can be analyzed for common environmental impact attributes, which can then be modeled to derive their level of impact within an LCA estimator tool. e major component/subassembly cate- gories used by EIE for ICT products include printed wiring boards, integrated circuits, and electro-mechanical assemblies, such as cooling fans, metallic components, polymeric compo- nents, and cables. Over a hundred years, GWP has the single largest environmental impact Eco-Impact Estimator Tool Over the past decade, several iNEMI mem- bers have collaborated to develop and demon- strate the Eco-Impact Estimator (EIE) tool. e approach is based on a methodology developed by Bell Labs (now Nokia Bell Labs) and further expanded through a series of iNEMI projects. e EIE tool only focuses on ICT products. By doing so, simplified estimations that are ger- mane to the industry can facilitate LCA estima- tions, streamlining modeling and making results most relevant. It provides a means to evaluate product concepts quickly and easily while opti- mizing design trade-offs. is uses simplified techniques and algorithms for estimating global warming potential (GWP) in terms of carbon dioxide equivalents. iNEMI member compa- nies and their suppliers are using this tool to estimate their products' carbon footprints and make smarter choices at the design stage. LCA Estimator Framework e estimator is designed to evaluate a prod- uct consisting of individual components and Figure 1.