The latests thought leadership, manufacturing AI trends and research from ProcessMiner™
Deep Learning is Reinventing Quality Control in the Manufacturing Industry
The manufacturing industry has long relied on quality control to ensure the safe, efficient, and high-quality production of goods. However, recent advancements in deep learning and machine learning technology have transformed traditional quality control methods,...
Elements to Consider Before Digitizing Your Factory for Autonomous Manufacturing
As the manufacturing industry evolves, autonomous manufacturing is becoming a reality for many businesses. But manufacturers must first digitize their factories before they can reap the benefits of autonomous manufacturing. Digitization involves integrating...
The Importance of Industry 4.0 in Manufacturing Plants
Industry 4.0 is the fourth industrial revolution that is changing the way we manufacture products. It is characterized by the use of interconnected technologies such as the internet of things (IoT), artificial intelligence (AI), and machine learning (ML) to optimize...
Top 5 Reasons Digital Manufacturing Fails
With the ability to digitize and automate virtually any process, digital manufacturing has become increasingly popular in recent years. However, there can be a number of factors that cause digital manufacturing to fail. Inaccessible or irrelevant data, operational...
Benefits of AI and Continuous Manufacturing
Achieving success as a manufacturer requires staying ahead of the competition. This means continually innovating, investing in resources, and leveraging new technology—including Artificial Intelligence (AI) and continuous manufacturing. In this blog post, we'll take a...
Challenges and Benefits of AI-Driven Autonomous Chemistry Optimization for the Pulp & Paper Industry
Today, pulp and paper manufacturers are under immense pressure to improve efficiency and cut costs. One way they address these challenges is by turning to AI-driven autonomous optimization. AI-driven autonomous optimization can help paper and tissue manufacturers...
How to Attract a Younger Workforce in the Manufacturing Industry: The Challenge of Perceptions
The manufacturing industry is facing a skilled labor shortage. As the industry looks to the future, one of its biggest challenges will be attracting a younger workforce. The problem is that the current perception of manufacturing jobs is inaccurate. Many people -...
Bridging the Skilled Labor Gap in the Manufacturing Industry
The skilled labor gap is a real and pressing concern for manufacturers. As baby boomers retire or leave the workplace, there are simply not enough skilled workers to replace them. This is expected to have a major impact on the manufacturing industry as companies...
AI Supporting Effective Wastewater Operations
When it comes to wastewater operations, having accurate and timely data is essential for efficient decision-making. While humans are capable of collecting and analyzing this data, artificial intelligence (AI) can help take things to the next level. In today's...
Data Science: How It Can Potentially Transform the Manufacturing Industry
Over the past few decades, the manufacturing industry has gone through multiple stages of transformation aided by four industrial revolutions. Now we are on the cusp of another major revolution led by data science and artificial intelligence. Though data science is...
Big Data and Industry 4.0: Significant Cost Savings in the Pulp and Paper Industry
In the pulp and paper industry, there is a lot of excitement about the potential of big data analytics and Industry 4.0 to optimize plant operations further. Driven by global demand, sustainability efforts, an aging workforce and margin pressures, the time has come...
Using Artificial Intelligence to Speed Up Paper Production and Lower Your Pulp & Paper Manufacturing Costs
Using artificial intelligence (AI) in pulp mills, which have traditionally been paper factories that employ human decision-making almost completely, is one of the ways to lower costs. This article explains why AI is crucial for a successful pulp and paper...
Benefits of Sustainable Pulp & Paper Manufacturing
Interesting fact: there are currently no sustainability standards for pulp and paper mills even though sustainability is becoming more important globally. Another interesting fact: It takes more than 400 years for a tree to remove its carbon footprint. Why...
The Future of Pulp & Paper Manufacturing
The pulp and paper industry is one of the largest industrial sectors in the world. Over the past two decades, it has experienced considerable change, including digital technology advancements, environmental factors, rising energy and labor costs, sustainability...
The Evolution and Required Transformation of Statistical Process Monitoring
In Industry 4.0, there is a need for automated diagnosis of process monitoring alarms along with root cause determination and process adjustment. Computationally intensive and adaptable approaches such as those incorporated into ProcessMiner software are required for...
Three Common Misconceptions About AI in Manufacturing
Artificial intelligence (AI) and machine learning (ML) are creating quite a name for themselves in the manufacturing industry and for good reason. Both AI and ML are helping manufacturers use factory data to streamline operations, improve processes and make better...
Manufacturing’s Perfect Storm
US Manufacturing Supply Chain Unprepared for Record Surge in Demand By: Tom Tulloch, Chief Commercial Officer, ProcessMiner™Manufacturing is forecast to come roaring back in the second half of 2021, according to many leading indices. This is fantastic news for...
Bringing Industry 4.0 to You
The Industrial Revolution paved the way for the life we know today and far surpassed the era of simplistic conveyor belts and heavy manual surveillance. Production lines employ machinery and humans alike. Industries have always stepped up with technological advancement and thereby use a plethora of devices designed and produced to meet specific tasks on factory grounds.
Variability Reduction: Why Important To Manufacturers?
A real-world dataset is provided from the pulp-and-paper manufacturing industry. The dataset comes from a multivariate time series process. The data contains a rare event of paper break that commonly occurs in the industry. The data contains sensor readings at regular time-intervals (x’s) and the event label (y).
The Importance of Autonomous Manufacturing Amid the COVID-19 Outbreak
All manufacturers are adjusting to the new normal and with “Social Distancing” in full swing companies are making more aggressive investments in technology to achieve autonomous manufacturing. This approach accomplishes a couple of important objectives…
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