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Empirical Models for Analyzing “BIG” Data – What’s the Difference?

BIG Data Methods Whats the difference

“BIG Data” is a current buzzword across almost all businesses and plays a key part in Industry 4.0. The term “BIG Data” is most appropriately used to characterize data that is not just large but complex in nature. Furthermore, there is not just one issue with BIG data – there are different purposes or objectives depending upon whether one is in sales, marketing, finance, manufacturing, etc. and there are many different issues to be solved (data collection, warehousing, integration, and analytics). But ultimately most of the issues (e.g. collection, warehousing, integration, cloud services) are just infrastructure issues that need to be improved in order to ultimately be able to use the data to extract actionable information. The focus in this blog is therefore on the data analysis tools and issues that one must consider to effectively extract such information.

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How can Rubber Manufacturers Automate Quality Control using CrumbGuard

deeper insights rubber crumb

We’ve helped manufacturers deliver high quality rubber since 2009. Our BaleGuard system, engineered to provide 360 degree surface inspection and automatic rejection has inspected millions of rubber bales, preventing costly customer complaints. However, BaleGuard is more than just the last line of defense for quality assurance. Using the logged defect data from BaleGuard, rubber manufacturers were able to improve their operations by understanding what process conditions were contributing to out-of-spec rubber bales.

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ProSensus has a New Head Office!

ProSensus Weve Moved

We’ve moved! ProSensus is now located at 4325 Harvester Road, Burlington, Ontario. The past 6 years in the Ancaster Head office have been great. However, we felt the need to find a new location that could better accommodate our growing team. We believe our new space absolutely achieves this objective, and will encourage an even more collaborative environment for us to better serve our clients.

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What Does Becoming an AspenTech ISP and TSP Mean for You?

What Does Becoming an AspenTech ISP TSP mean for you

In September 2016, ProSensus sold our ProMV software to Aspen Technology Inc. (AspenTech). ProMV, an off-line multivariate data analysis software tool helps manufactures get actionable insights from their complex data sets. We’re happy to announce that Aspen Technology Inc. has just released “Aspen ProMV” as a part of their new Asset Performance Management (APM) suite. The APM suite intends to minimize unplanned shutdowns by predicting problems from data, and prescribing solutions before a problem occurs. The rationale for the suite is simple, a highly optimized plant isn’t any good if a process-induced shutdown occurs.

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Free Seminar - Understanding Key Process Relationships Using MVA

Understanding Key Process Relaitonships Using MVA Free Seminar

Join ProSensus founder, and multivariate pioneer, Dr. John F. MacGregor for a free 1 day course on how to get actionable insights from your historical process data. In participation with Aspen Technology Inc., ProSensus will demonstrate how multivariate data analysis (MVA) and Aspen ProMV can be used to

  • Improve understanding of key process relationships
  • Troubleshoot and correct recurring process problems
  • Optimize process performance

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Preventing Unplanned Shutdowns using Multivariate Data Analysis

preventing unplanned shutdowns

Unplanned shutdowns can have a significant impact on your business. Almost every plant loses at least 5% of its productive capacity from downtime, and many lose up to 20%1. Of the manufacturers that estimate their downtime, they usually underestimate the total downtime cost (TDC) by 200 – 300%1.

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Optimize your Processes and Products at CSP 2017

optimize your process products at csp 2017

Join us at the Conference on Statistical Practice (CSP) 2017, February 23rd – 25th, in Jacksonville, Florida. CSP provides participants with opportunities to learn new statistical methodologies and best practices to solve real world problems. ProSensus founder, Dr. John MacGregor will be presenting a talk on how multivariate data analysis can be used to optimize processes and products using historical data.

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The Road Forward for ProSensus and Process Improvement

IP Aquisition Image

ProSensus helps manufacturers leverage their industrial Big Data to improve product quality and process efficiency. We do this by using multivariate data analysis to establish the underlying relationship from raw materials and process conditions to final product quality, and yield. Our approach has been guided by ProSensus founder Dr. John F. MacGregor, a pioneer in the field of Multivariate Analysis (MVA). Over the years, because of a void in the market place, we developed a suite of software solutions that allowed us to analyze data using MVA. We developed a mature solution for desktop MVA, and our approach to Multivariate Statistical Process Control (MSPC), and Advanced Process Control (APC) for batch processes was unrivaled.

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Gain New Process Insights and Prevent Costly Disruptions Using Machine Vision

Get New Process Insights Prevent Process Disruptions

Are you getting costly complaints from your customers or do you need to measure new quality attributes to prevent process disruptions? Whether it is related to visible features, performance attributes, ratios or blends of your product or other characteristics, our machine vision systems can help. Our solutions not only offer 100% inspection that can prevent complaints, but the quality parameters logged will help you gain new insights and even tune your process to reduce off-spec production.

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New Features in ProMV 16.02 Webinar

yellow-valves process optimizationJoin us for a free 1 hour webinar that will go over the new Model Optimizer feature in the latest release or ProMV (16.02). Using the new Model Optimizer tool you can:

•  Optimize process quality, yield or productivity using models built entirely on historical data without the need for invasive designed experiments.
•  Specify target value (e.g., quality), maximize (e.g. yield, productivity) or minimize (e.g., energy consumption) for each x- or y-variable.
•  Specify real-world upper and lower bounds for x- or y-variables and known values for measured disturbance variables.
•  Easily compare optimized results with historical data to determine if additional bounds need to be specified.
•  Export optimized results to Excel to share with formulators, operators, and management.

The webinar will be presented by ProSensus CTO Dr. Mark-John Bruwer. During his time at ProSensus he has helped manufactuers in the food & beverage, speciality chemicals, oil & gas and pharmaceutical industries troubleshoot complex process problems using ProMV.

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Getting Started with Real-Time Batch Monitoring and Control

batch_monitoring_and_control

Are you collecting lots of data on your batch processes but not getting the information you need to detect and diagnose process failures? Identifying process failures or process drift early enough could prevent costly re-work or even scrapping batches. We’ve outlined how your historical data can be used for early fault detection so you can improve product quality, increase yield, and reduce operating costs.

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