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- W4387092079 endingPage "103088" @default.
- W4387092079 startingPage "103088" @default.
- W4387092079 abstract "Big Data will revolutionize modern industry by improving process optimization, facilitating insight discovery, and improving decision-making. This big data revolution presents a multitude of possibilities and challenges in evolving from traditional batch processes to smart batch processes. This tremendous potential requires the ability to extract value from vast amounts of industrial process data. Using a new three-dimensional (3D) perspective of time, batch, and operational context, this paper explores smart batch processes with higher efficiency, greater profitability, and longer sustainability. First, we review the traditional one-dimensional (1D) perspective on batch processes and summarize the existing two-dimensional (2D) perspectives on batch processes, i.e., modeling, monitoring, control, and optimization methods. Based on those results, the spotlight will focus on how big data can be used to achieve smart batch processes using the 3D perspective. This will include detailed discussions of definitions and concepts, operational mechanisms, and the benefits and advantages of smart batch processes. For further implementation of the 3D perspective, we present several monitoring and control methodologies. Next, we analyze several challenges and issues in implementing smart batch processes in the era of Big Data. In conclusion, we provide both a novel viewpoint and encouragement for future research into batch process automation from the 3D perspective." @default.
- W4387092079 created "2023-09-28" @default.
- W4387092079 creator A5002154840 @default.
- W4387092079 creator A5043709480 @default.
- W4387092079 date "2023-10-01" @default.
- W4387092079 modified "2023-10-07" @default.
- W4387092079 title "Smart batch process: The evolution from 1D and 2D to new 3D perspectives in the era of Big Data" @default.
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