{"id":{"repo_id":"cambridge","oai_identifier":"oai:www.repository.cam.ac.uk:1810/346492"},"canonical_url":"https://search.dev.ndltd.org/etd/cambridge/oai:www.repository.cam.ac.uk:1810/346492","repository":{"repo_id":"cambridge","name":"Cambridge University","base_url":"https://api.repository.cam.ac.uk/server/oai/request"},"display":{"title":"A Framework for Autonomous Process Design: Towards Data-driven and Knowledge-driven Systems","abstract":"The chemical industry is positioning itself for a new era of digital research and development. The complexity of product development, along with the influx of information, entail a need for scalable and intelligent decision-making at different levels of the innovation value chain. This thesis tackles the problem of autonomous process design, by combining data-driven, knowledge-driven, and mathematical programming tools within a unified framework. 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