New to IBM Maximo? Read this three-part primer that explores its critical role in many of the world’s asset-intensive industries, and what it can do for your organization.

Each Industrial Revolution has been catalyzed by the convergence of technologies from multiple domains. Industry 4.0 is no different.

Machines were first introduced into a manual manufacturing process between 1760 and 1820.  But, it was the concurrent introduction of means to power machines that led to the First Industrial Revolution. An example is the first commercially viable Textile Power Loom which was introduced by Edmund Cartwright in England. It used water-power at first. But in two short years water-powered looms were replaced with looms powered with the steam-engines created by James Watts. The relatively smaller steam-engines allowed textile looms to be deployed in many sites enabling persons to be employed in factories.

Multiple innovations such as new manufacturing methods, electricity, steel, and machine tools ushered in the era of mass manufacturing and the Second Industrial Revolution. Henry Ford’s River Rouge Complex in Michigan, completed in 1928, deployed these modern inventions and was the largest integrated factory in the world at that time. The era of mass manufacturing subsequently brought about an explosion in the consumption of goods by households.

The Third Industrial Revolution improved Automation and Controls across many industries through the use of Programmable Logic Controllers (PLCs). PLCs were first introduced by Modicon in 1969. PLC-based automation and controls were introduced to a mostly mechanical world, and helped improve yields and decrease manufacturing costs. This revolution helped provide cheaper products.

Fast forward to the Industry 4.0 Revolution made possible by the synergistic combination of expertise from the worlds of Operating Technologies (OT) and Information Technologies (IT). The current revolution is bringing about intelligent, interconnected and autonomous manufacturing equipment and systems. This is by augmenting deep domain expertise within OT companies with IT technologies such as artificial intelligence (AI), big data, cloud computing and ubiquitous connectivity.

The widespread use of open protocols across heterogeneous equipment makes it feasible to optimize horizontally across previously disjointed processes. In addition, owner/operators of assets can more easily link the shop-floor to the top-floor. Connections across multiple layers of the ISA-95/Purdue Model stack provides greater vertical visibility and added ability to optimize processes.

The increased integration brings together both OT data (from sensors, PLCs, DCS, SCADA systems) and IT data (from MES, ERP systems). However, this integration has different impacts on different functions such as operations, engineering, quality, reliability, and maintenance.

To learn more about how the integration positively impacts the organization, read the next installment in this series to see how you can bridge the gap between OT and IT teams to improve production resilience.

Read Part Two.

 

Was this article helpful?
YesNo

More from Cloud

Bigger isn’t always better: How hybrid AI pattern enables smaller language models

5 min read - As large language models (LLMs) have entered the common vernacular, people have discovered how to use apps that access them. Modern AI tools can generate, create, summarize, translate, classify and even converse. Tools in the generative AI domain allow us to generate responses to prompts after learning from existing artifacts. One area that has not seen much innovation is at the far edge and on constrained devices. We see some versions of AI apps running locally on mobile devices with…

IBM Tech Now: April 8, 2024

< 1 min read - ​Welcome IBM Tech Now, our video web series featuring the latest and greatest news and announcements in the world of technology. Make sure you subscribe to our YouTube channel to be notified every time a new IBM Tech Now video is published. IBM Tech Now: Episode 96 On this episode, we're covering the following topics: IBM Cloud Logs A collaboration with IBM watsonx.ai and Anaconda IBM offerings in the G2 Spring Reports Stay plugged in You can check out the…

The advantages and disadvantages of private cloud 

6 min read - The popularity of private cloud is growing, primarily driven by the need for greater data security. Across industries like education, retail and government, organizations are choosing private cloud settings to conduct business use cases involving workloads with sensitive information and to comply with data privacy and compliance needs. In a report from Technavio (link resides outside ibm.com), the private cloud services market size is estimated to grow at a CAGR of 26.71% between 2023 and 2028, and it is forecast to increase by…

IBM Newsletters

Get our newsletters and topic updates that deliver the latest thought leadership and insights on emerging trends.
Subscribe now More newsletters