There is a basic understanding of the importance of resource efficiency, but decisions are still mainly cost-driven. Furthermore, there is awareness of the different materials available for AM, but usually without information on carbon emissions.
An intuitive tool for estimating the carbon footprint of additive manufacturing applications makes it possible to better understand the ecological impact of these technologies. The approach follows a cradle-to-gate principle, in which emissions are considered along the entire process chain from material procurement to the completed production step. The tool provides an overview of the main drivers of CO₂ emissions in the production process so that users can quickly identify the key factors that contribute to the level of emissions. From this, targeted optimization measures can be derived to efficiently reduce the CO₂ footprint of production.
Strategy The organization is a leader in AM and sets industry standards. It’s a key part of the company’s culture. Encouraging ongoing innovation and setting new trends.
Product Design 
Material Ensuring a stable supply chain by suppliers by continuously providing certificates for each material batch. Selection of materials is also considering scaling requirements (e.g. industry certificates, availability).
Process Engineering In-depth understanding of holistic process chain and influences on the process and part quality to reach reproducibility across different lines and locations. Usage of simulations and models to support production engineering with a digital process twin.
Production Setup 
Manufacturing Execution 
Quality Proactive analytics for reproducibility across multiple production lines and locations; ensured reproducibility under changing conditions. Quality is directly linked to tracked process and material data.
Maintenance & Service 
Environmental Sustainability Fully integrated sustainability practices; continuous monitoring and improvement; real-time energy tracking and adaptive material use strategies.
People & Organization AM process chain is integrated part of organizations‘ training programs, all relevant employees are trained right-time in a structured way. It lives a culture of self-driven learning and embrazes to challenge existing processes and organizational setup.
