2025/01/01 by Gustavo Larrea‐Gallegos, Sabine Hofer, Norbert Hofstätter +15 · 1 voice
Environmental Science · Business, Management and Accounting · #Environmental Impact and Sustainability #Sustainable Supply Chain Management #Recycling and Waste Management Techniques
paper · doi:10.1016/j.csbj.2025.07.030
openalex publication_date 2025/01/01 · openalex created_date 2025/07/25 · openalex updated_date 2026/07/27
data gaps or compromises in data quality, or which assessment methods and tools to employ); notably, it represents the company's own decision to herewith set the requirements and goals for replacement, and this can be done at different levels, such as the material or chemical itself, changes in the production processes, or within the entire system of a product's life cycle spanning across its entire value chain(s), which can be documented employing the use maps concept. Further, this article builds on the product life cycle and provides a general understanding of life cycle assessment (LCA) methodology, especially a deeper insight into prospective and anticipatory LCA, that will need to prove functional on real-life case studies from industry. Besides a clarification of these concepts, the article provides an interdisciplinary view, as required for implementing SSbD in small and medium-sized enterprises, with hints on the use of machine learning techniques for anticipatory LCA of new chemicals, materials, and products. Such methodologies will, in future, help extend classical LCA cases towards the data-scarce requirements of earlier material and product development stages.