From Data Collection to Actionable Insights: A Best Practice Approach


Dr. Puya AfsharSenior Consultant - Yokogawa UK Ltd

Time & Location

Wednesday: 14.20 to 14.40, Stage 4

About this presentation

With the advancement of computer hardware, software and networking devices, manufacturing and process plants have equipped themselves with state-of-the-art infrastructure enabling them to produce vast amounts of data.This data is collected from various sources including supply chain, production and business systems. Data historians transfer large volumes of real-time-data from production facilities to users on multiple platforms, with negligible latency. However, possession of large volumes of data does not necessarily constitute better economic prosperity, unless two main challenges are addressed: 1.Data is often kept in databases disconnected from the business systems, making it difficult to see the big picture of the operations 2.Data is often used reactively, therefore not much insight is captured from processes to deliver true business value By adopting complex computational techniques and powerful analytical modelling such as AI, IT companies have made advances in decision support systems for data analytics. However, the true value of data analytics can be realised through a consultancy approach where data science techniques are interjoined with field knowledge and technology. In this paper, we propose a best practice methodology for data analytics in the process and manufacturing industries.This is designed with knowledge of data integration, machine learning, and industrial production systems, as well as expertise in collaborating with plant management and operation.

Speaker Bio

Dr Puya Afshar PhD MSc BSc Dr Puya Afshar is a Senior Consultant for Yokogawa UK Limited. He is a graduate of KN Toosi University of Technology (BSc) and Tarbiat Modares University (MSc) in Tehran and received his PhD in Advanced Process Control from the University of Manchester in 2007, focusing on the application of Artificial Intelligence and data-based optimisation in process control. Puya worked for The University of Manchester as an R&D fellow and published more than 30 technical articles in various journals and international conferences. He joined Yokogawa UK in 2011, delivering several major projects in the oil, gas, and chemical sectors. Currently, he works in his capacity as a senior consultant within the Advanced Solutions Consultancy Group and his main areas of focus are Data Historians, Data Analytics, and Alarm Management consultancy services