In the last century our corporate business cultures and design engineering functions have been focused upon the well-known three dimensions of time, cost, and quality. As a consequence people, processes, and technologies were organized and optimized around these KPIs which became unrelenting drivers of new product development.
Now with the criticality of establishing a more sustainable global economy, it is imperative that design decisions include the fourth dimension of sustainability; what is called Design for Sustainability (DfS). The move to adding then prioritizing sustainability considerations promises to transform not just products, processes, and technologies, but also professions, organizations, and entire industries.
In contrast to other sustainability-related disciplines, DfS has an added burden of complexity: the design phase planning of a product must now include a prediction of its sustainability impact. This impact assessment may come from rigorous analysis using hard data or only estimates often relying upon extrapolations and comparisons.
These DfS decisions will ultimately determine the true sustainability of a product over a lifecycle that can run decades, including its repair, reuse, refurbishment, and recycling. Product data and usage information that is not complete in the early design stages must then be predicted, which becomes the “Dilemma of DfS”. The 80/20 Pareto Principle certainly applies where 80% of sustainability impact is defined during the first 20% of product life when much important data is still unknown.


Since we as an engineering community are still at the beginning of the transformation toward DfS thinking, our speed of implementation and standardization greatly matters. The goal of this new PLM Green theme and study group is to elevate and accelerate that transformation by sharing educational learnings, best practices, and real-world experiences across the three levels of:
- People – who need to understand, practice and transfer the culture of designing sustainable products
- Processes – which establish sustainable targets, even when the underlying performance and usage data is unknown in the early stages
- Technologies – which require data acquisition and prediction in a complex environment from numerous sources across departments, enterprises, and stakeholders
To accomplish this our group’s mission is to establish an open non-commercial forum of design engineering professionals from around the world who freely share their knowledge, experiences, and best practices that will boost the DfS transformation.