Realizing the value of big data in process monitoring and control: Current issues and opportunities

• Main Authors: Rubab, S., Taqvi, S.A., Hassan, M.F.
• Format: Article
• Published: Springer Verlag 2019
• Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-85053889319&doi=10.1007%2f978-3-319-99007-1_13&partnerID=40&md5=d6bf0dda3cc0fdfd0d4008e43d3a8bda; http://eprints.utp.edu.my/23650/
• Institution: Universiti Teknologi Petronas

With the advancement of Big Data, data analytics have benefited many organizations and industries. The continuous improvement of process industries is a challenging task that requires insights for efficient process monitoring with minimum downtime and safer operations. These industries generate a large amount of data i.e. �Big Data� every second that contains useful information. For better control, different analysis can be executed using statistical methods, data mining or machine learning. This data can be used for daily process operations and decision making. However, the past literature on Big Data have put limited focus on realizing its implication in process monitoring and control. The paper emphasizes on the issues and opportunities faced by process industries in terms of Big Data collection, storage and analysis for process monitoring and control. © Springer Nature Switzerland AG 2019.