Countering abnormalities
This online article, “High-quality production with the fusion of process knowledge and data analysis technology—process data analysis using machine learning,” show how Sumitomo Seika Chemicals Co.’s plant in Himeji, Japan, improved its production of super-absorbent polymers by drafting an observation item list, developed a workflow for process analytics, identified disturbances, and reduced fluctuations.
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Basic stages and video
This online article, “A step-by-step guide to the data analysis process” by Will Hillier, covers the stages of data analytics, including defining questions, data collection, cleaning with exploratory analyses, and descriptive, diagnostic, predictive and prescriptive analyses.
Monitor, model batches
This online article, “Understanding the basics of batch process analytics,” covers process monitoring and diagnostics, modeling outputs to monitor quality, batch modeling of completed batches, introducing statical process control (SPC), and batch evolution and level models.
Predictive gas optimization
This two-minute video, “Nippon Gases prevents unplanned downtime, extends APM strategy with Predictive Asset Intelligence,” shows how it used AI-based condition monitoring software to improve the performance of critical equipment such as compressors, turbines, and purifiers. It deployed SymphonyAI’s Predictive Asset Intelligence software built on Iris Foundry dataops platform to calculate asset health, maximize uptime with predictive warnings, and optimize operations using deep learning AI-models.
Cleaning excel data video
This 10-minute video, “Master data cleaning essentials on Excel in just 10 minutes,” shows how to transition from a raw dataset with several errors to a clean dataset that can be presented to managers by using techniques, including text to columns and removing duplicates, and using formulas such as trim, proper, lower, iferror function and others.
When to automate
This online article, “Automated data analysis: everything you need to know” by Rand Owens, is the ninth chapter of a larger data analytics publication. It covers fundamentals, benefits, when to automate analysis, best practices, setting goals, evaluating present infrastructure, establishing governance policy and mapping workflows.
Stats parallel analytics
This online article, “What is statistical process control?,” provides a refresher on SPC and statistical quality control (SQC) and how they relate to more recent data collection and analytics efforts. It covers cause-and-effect diagrams, check sheets, control charts, histograms, Pareto charts, scatter diagrams and data stratification issues.
