Big Data Analytics In Industry 4.0 For Predictive Maintenance And Quality Control – Industry 4.0 is characterized by a shift in value flows from centrally designed, resource-intensive products to knowledge-intensive decentralized services, with strong support from advanced analytics and IA throughout digital transformation.
This process began with the advent of the Internet in the first decade of the millennium. 2018 seems to be the year of the liberation of Industry 4.0. OECD According to research by Gartner Group and PWC, it only exists in scientific articles and labs.
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In our view, A key factor in Industry 4.0’s democratization of action and knowledge capacity is the implementation of Web 3.0 concepts (as already discussed in this blog post). But before we get to 4.0, let’s put their previous versions in perspective.
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Discovering the economic benefits of continuous production rather than artisanal (individual) production, it led to the mechanization of labor previously performed only by humans or animals. At that time, people were water, air, A time when the power of fire was harnessed by steam engines and mills. In 1776, Adam Smith (The Wealth of Nations) presented the advantages of the division of labor in the mill. (learn more)
Its main driving force is electricity, generators, It allowed assembly lines from motors and artificial light to mass produce consumer goods.
Its driving force is the characteristics of automation; Using robots and computers to optimize production lines.
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Industry 4.0 is the design of goods and services through intensive use of CI – Collective Intelligence – and AI – Artificial Intelligence. Production and distribution stages are characterized by intensive automation. With the evolution of the web in Industry 4.0, Individuals are becoming more empowered by their agents (smartphones). One of the biggest challenges of a new business is to keep up with the needs of these new customers.
To understand Industry 4.0 it is important to clarify its foundations: AI – Artificial Intelligence and CI – Collective Intelligence.
Wikipedia Facebook Let’s start with the more obvious IC, as Wage and YouTube constantly use mechanisms that use collective intelligence in content production and curation.
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Wikipedia: For example, All Wikipedia content is produced by hundreds of publishers around the world and aggregated by millions of users who vet and review their content.
Waze: The Waze app uses users’ own movements to build and refine their maps, providing real-time alternative routes through traffic jams and new segments created by cities.
Today’s Facebook and YouTube services are services with heterogeneous content that is automatically generated and curated by users along the lines of likes and shares.
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What do these procedures have in common? They rely on the intelligence of the people, founded by the Marquis de Condorcet in 1785, and set a degree of certainty and uncertainty about the collective decision of individuals.
By doing it on their own, hundreds of individuals. All of these actions add up to something greater than the sum of the parts. This collective behavior is observed in insects, birds It’s called the ensemble effect, where fish and humans work together to accomplish larger tasks than they could individually.
Condorcet proved to be a mathematically imaginative leader who used his ideas as the basis for the formation of democratic states in the 18th and 19th centuries.
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In a contemporary way, We can see the database as a large pool of individual experiences that are collectively constituted. Big Data is improving things through intensive statistics and AI. It is responsible for collecting and organizing (disruptions) to create and recreate.
In critical scrutiny, AI can be understood as the artificial implementation of agents using the same principles of CI – Collective Intelligence.
That is, instead of real ants or bees. artificial neural networks and/or insects that somehow mimic real-world behavior and crowd intelligence: decisions; It comes from reactions and creations. .
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On the left is the original piece created by the engineers. In the middle and on the right are two pieces created by an AI method called the Genetic Algorithm. The right side is 50% smaller and uses 75% less material due to its design. It can hold the same dynamic load as its left arm.
There are hundreds of uses for AI, from detecting smiles on cameras and cellphones to driving autonomous cars among cars with human drivers in cities.
Each use of AI involves machine learning; It relies on a suite of technologies including insight discovery and predictive advanced analytics and optimal decisions across creative computing.
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Heavy use of CI and AI has led to Uber, Tesla Some industries dominated by companies like Netflix and Embraer can create disruptive new products and services that we see today.
In Uber’s case; They use CI heavily to create competition and at the same time cooperation between drivers and passengers. AI algorithms provide reliable transportation service at an unprecedented cost.
100% digital though. It is revolutionizing our mode of transportation and soon its 100% autonomous taxis will be launched and in the near future drones that transport their passengers in the sky. A clear example of digital transformation is redesign from the perspective of Industry 4.0.
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Tesla uses CI from the data captured by the drivers of its electric cars, uses advanced analytics to optimize its own processes, and uses them to train AI that can drive the car safely through the traffic of today’s cities. of the world
Tesla is a prominent example of Industry 4.0. They use CI and AI to design their innovative products, then create a series of automated factories to manufacture them and sell them online. Soon, they will deliver their products to customers’ doors with new electric and autonomous trucks, completely shutting down the Industry 4.0 cycle.
Additionally, Netflix uses movie viewing history and notes provided by its users to create a list of favorite recommendations for resources such as hit House of Cards and Stranger Things. In addition, They use Bandit Algorithm’s AI (from Netflix itself) to create title covers and listings that entice consumers (viewers) to consume new content.
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Embraer, the world’s third-largest civil aircraft manufacturer and Brazil’s largest innovation company, is an AI, Advanced analytics are used in CI and device management systems.
Using these techniques, based on the maintenance tests and risk mitigation procedures used in IA, can save up to 18% in low-margin industries to reduce the cost of troubleshooting procedures on high-value equipment. Damage
CI, the path to Industry 4.0 A.I. advanced analytics; big data; Paved with digital transformation and service design strategies and great examples from world leaders.
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Transformation is often an anxious and uncomfortable process, but it is necessary to achieve the virtues of Industry 4.0.
We recommend starting small and thinking big with data, the building blocks of all digital transformation. Start by supporting a data culture for your business/department/industry.
And how do you start thinking about data? Starting with the definition of your dictionaries, they will be your nautical charts in the middle of the digital transformation journey.
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Understanding the potential of data and the new business they can create is critical in the transition from producers of physical goods that may or may not be supported by physical products to service providers. Look at Uber and AirBnb; Neither own cars or real estate, but have generous shares of the transportation and lodging markets.
It is recommended to increase the level of maturity since diagnosis; Then we suggest working on the details of the action plan and its implementation.
At Law we have developed the Business Analytics Canvas model, a service design tool for data-driven new business development. Design and service levels moving from Industry 3.0 to 4.0; CI in links; It is possible to promote the serious use of AI.
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Advanced analytics and AI for advanced analytics and AI Business Analytics Canvas model and service design techniques for AI will be released soon.
La Analytics received the most prestigious innovation award from the Confederation of Industry (CNI) in Brazil. la is the national reference for the application of artificial intelligence in large companies operating across industries and countries. Through the Vortx platform and DCIM approach;
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