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A decision analysis approach to electronics standard development informed by life cycle assessment using influence diagrams
Citation:
Garvey, T., David E. Meyer, Michael A. Gonzalez, B. Dyson, AND John F. Carriger. A decision analysis approach to electronics standard development informed by life cycle assessment using influence diagrams. JOURNAL OF CLEANER PRODUCTION. Elsevier Science Ltd, New York, NY, 254:120036, (2020).
Impact/Purpose:
The purpose of this manuscript is to communicate SHC 3.63.1 research examining how the application of life cycle assessment for environmental decision making can be improved using decision analytics.
Description:
Life cycle assessment (LCA) provides holistic information on systems including the trade-offs between environmental impacts and the drivers of such impacts. Coupling life cycle assessment with a decision analysis (DA) method can help ensure that a life cycle assessment is focused on pertinent decision performance measures. In this paper, a framework integrating life cycle assessment with a decision analysis method to enhance the application of life cycle assessment is presented with a real-world case study of developing a material inclusion criterion for sustainable electronics standards. The proposed DA-LCA framework is a five-step process that tracks the flow of information between the steps of decision analysis and life cycle assessment. The case study considered the level of post-consumer-recycled or biobased content in laptop enclosures. Elicitation with a mock stakeholder panel was used to structure a means-ends network and create a utility-based influence diagram to link changes in material inclusion to environmental objectives using life cycle impact scores. Unlike typical life cycle assessment, the decision analysis approach allows for explicit incorporation of non-environmental factors and better constrains product options. Using this approach, the optimum decision for a possible range of 0–30% material content is 5% or 10%, depending on weighting. The DA-LCA framework can provide a blueprint for placing life cycle assessment results in context for decision-makers.
