Machine learning for predictive maintenance: where to start? What is predictive maintenance? Think of all the machines you use in a year, everything from a toaster every morning to a plane every summer vacation. Now imagine that, from now on, one of them would break down every day. What impact would that have? In ...
The tools you need for efficient industrial management
5 Must-Have Manufacturing Trends for 2021 First, 2020 has been a whirlwind for the manufacturing industry. But with all its twists and turns; there were valuable lessons that food manufacturers and processors will use to make 2021 a success. So in the new year, these two industries ...
Top 6 Agribusiness Trends for 2021 Predicting the future of the agribusiness industry is no easy task, especially after a tumultuous 2020 that rocked the industry. However, there are some key takeaways from the past year that will continue to impact 2021 and, likely, beyond. With 85% of consumers reporting that they have changed their ...
How will the notion of the "smart factory" evolve in 2021? Smart Factory. The coronavirus crisis has reminded us all of the often invisible powers of manufacturers and logistics companies to get things done. Indeed, you remember all the panic buying of toilet paper; and the ...
Digital Factory Transformation: smart manufacturing The industry is experiencing an unprecedented acceleration in digital transformation; process automation and human-machine interaction technologies in the context of COVID-19. Indeed, while companies are beginning to adapt to the severe disruptions caused by the pandemic and a prolonged recovery process; ...
How does Industry 4.0 open up new frontiers of growth for your production lines? Production Line - Multiple technologies are converging to usher in the fourth industrial revolution. One aspect of this trend, Industry 4.0, comes with the promise of improving manufacturing by increasing efficiency on multiple fronts. While the benefits of Industry 4.0 ...
The 5 Key Steps to Successful Industrial Digitization Today, the concept of industrial digitization or smart factory is gaining relevance in an era where the COVID-19 pandemic has pushed companies to reinvent themselves in order to deliver products to possibly unexpected customers. The following article is a summary in the form of five ...
How to use machine learning for for production optimization? Production optimization - How can you use machine learning to optimize your production? Fully autonomous production facilities will be available in the not too distant future. But even today, machine learning can make a big difference in optimizing your production.
Criticality Analysis: What is it and why is it important? Criticality analysis is defined as the process of assigning assets a criticality score based on their potential risk of failure. What is criticality analysis? Criticality analysis is defined as the process of assigning assets a criticality score based on their potential risk of failure.
Factory of the Future - Open Data Sources for Industrial AI When starting a new project (Factory of the Future) to improve the capabilities of a production facility with artificial intelligence, the common question is, "Is it feasible?" Artificial intelligence in an industrial context requires a lot of data to train the underlying algorithms. The ...
Let's Determine What We Expect from Artificial Intelligence Successful Artificial Intelligence Models Before we get to artificial intelligence; let's first talk about Thomas Edison who is said to have tried 10,000 times before he succeeded in creating a light bulb filament; but he dismissed any talk of failure. "I have not failed"; he would correct his critics. "I just ...
Industry 4 .0 - the new industrial revolution If you went to bed last night as an industrial company, you'll wake up today as a software and analytics company. Jeffrey Immelt, former CEO of General Electric, "Industry 4 .0" Industrial companies are feeling increasing pressure to adapt to a changing environment. They ...
Predictive maintenance in industry: using IIoT and ML to prevent equipment failure Sooner or later, all machines break down, but with a wide range of consequences. A sudden failure of the coffee maker can ruin your mood and your morning. As a result, an unexpected malfunction in a power plant has the ...
7 Ways to Diagnose Industrial Performance Find out how to improve your Industrial performance with Industry 4.0 7 Ways to Diagnose Industrial Performance As a manufacturer, you certainly want to be able to diagnose industrial performance in order to increase productivity, reduce costs and maximize profits. These goals can be achieved if you are ...
Top 12 KPIs to Track Operational Excellence Top 12 Industry KPIs to Track Operational Excellence Throughout this article, we will explore the strategies and best practices that some of the most successful companies are using to build a culture of operational excellence in their manufacturing organizations. Of course, being ...
Why is Six Sigma currently on a downward slope? I've never been a big fan of Six Sigma. As business process improvement and management approaches evolve; they have always had glaring flaws. First, there were all the statistical tools involved - ...
Predictive maintenance solutions: why they are important and how to implement them This article explains the importance of predictive maintenance solutions and how to implement them For companies that have been collecting machine data for years; there is an incredible opportunity to make that data actionable. The use of ...
How are Lean Manufacturing and Industry 4.0 connected? Lean manufacturing is widely recognized and accepted in the industrial world. It is about the strict integration of the human in the manufacturing process, continuous improvement and focus on value-added activities avoiding waste. However, a new paradigm called Industry ...
The foolproof guide to using MTTR, MTBF and MTTF Introduction to failure metrics Before we get into the explanation of MTBF, MTTR and MTTF. It is important to know that asset performance measures are essential for any organization whose operations depend on equipment. It is only by tracking the elements that may cause a failure that the ...
Industry 4.0 Brings TPM into the Digital Age Before we talk about TPM, you need to know that Industry 4.0 is revolutionizing manufacturing on several fronts - from production throughput; predictive maintenance and quality to supply chain and inventory management. Indeed, while this wave of innovation ...
Is TRS / OEE a magic metric? Learn how to deploy TRS using Industry 4.0 Is TRS/OEE magic? The OEE is a measure of performance, availability and quality in a single number. In fact, using this indicator, ...
Industrial management - history
Before the industrial revolution, people worked with hand tools, making items in their own homes or in small stores.
Thus, in the third quarter of the 18th century. steam was applied to machines; men and machines were brought together under one roof in factories, where the manufacturing process could be supervised. This was the beginning of warehouse management.
As a result, over the next hundred years, factories increased rapidly in size, degree of mechanization and complexity of operation.
With growth, however, came much waste and inefficiency. In the United States, many engineers; spurred on by the increased competition of the post-Civil War era; began looking for ways to improve factory efficiency.
Industrial management - Modern trends
Modern technological devices, especially in the fields of computer science; electronics; thermodynamics and mechanics; have made automatic and semi-automatic machines a reality. Thus, the development of such automation leads to a second industrial revolution and causes vast changes in trade as well as in the organization of work.
As a result, these technological changes and the need to improve productivity and product quality in traditional factory systems also changed industrial management practices. In the 1960s, Swedish car manufacturers discovered that they could improve productivity through a group assembly system. Unlike the old manufacturing techniques where one worker was responsible for assembling only one part of the car, group assembly gave a group of workers the responsibility of assembling an entire car.
As a result, in the 1980s and early 1990s, many American companies sought to increase their competitiveness by adapting Japanese methods to improve manufacturing quality.
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