This document discusses challenges in scaling up chemical processes from the laboratory to the industrial scale. It emphasizes the importance of a systematic approach using models informed by experiments at different scales. Dimensionless groups allow insights from small-scale experiments and models to be applied at larger scales by capturing key relationships unaffected by scale. Process design challenges include variability in feedstocks, utilizing waste streams, energy costs, regulations, and rapid time to market.