Abstract

Building automated platforms in chemical processes is a shared goal by many researchers. Herein, we provide essential insights into the decision-making process for choosing automation platforms, highlighting the suitability of fixed automation for standardized tasks and the strategic use of flexible automation in dynamic research settings. By addressing key factors, we aim to assist researchers in making informed decisions tailored to their specific automation needs.

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