Manufacturing Intelligence: From Historical Data to Digital Transformation, TAPPICon24



EXECUTIVE SUMMARY
Manufacturing Intelligence (MI) is a powerful concept that leverages data to improve informed decision-making. MI systems typically include a variety of tools, such as dashboards, reporting, and data visualization, that help users understand and interpret the data. The insights provided by MI should allow data to be easily shared and understood by both technical and non-technical stakeholders. This paper addresses the limitations of data capture and processing practices and provides recommendations to follow proven standards-based improvements.

ABSTRACT
The manufacturing industry has witnessed a profound transformation over the years, driven by advances in technology and a growing emphasis on data-driven decision-making. One method commonly used by pulp and paper manufactures is to derive intelligence from their data historians. Although there is a wealth of raw data there are significant challenges to obtaining actional decision-making information. Data historians store data in time series. Obtaining actionable information from time series data can be challenging due to various complexities inherent in such data. This paper explores the challenges and path forward for pulp and paper manufactures to adopt new strategies and technologies to optimize manufacturing intelligence efforts.

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Author: William Medcalf
Manufacturing Intelligence: From Historical Data to Digital
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