Radwell International’s Blog

Advancements in technology for the manufacturing sector have improved every industry in the marketplace. Major innovations continue to create improvements in the productivity and sustainability of entire production processes. These innovations include process automation, additive manufacturing, and the inclusion of artificial intelligence. With the struggles of the COVID-19 pandemic, manufacturers are searching for ways to maintain productivity with reduced manpower. With that in mind, businesses are wondering what the future of manufacturing technology is.

For manufacturing and infrastructure industries with an automation focus, the increasing use of data to drive analytical insights has forced a convergence of traditional operational technology (OT) with information technology (IT), creating a need for more united implementations. In response, commercial advancements in hardware, software, and networking have been adopted into industrial platforms at an increasing rate.

These trends have been driven by available technology and sophisticated end users who want the same flexibility and convenience offered by consumer applications. However, the path to merging OT with IT has had a few bumps and potholes.

The Industrial Internet of Things (IIoT) relies on well-coordinated products and performance in the OT and IT realms. For the progressively overlapping roles of OT and IT to be most effective, it is necessary to merge the strengths of OT and IT disciplines. It’s useful to examines what those strengths are, and how a hybrid OT/IT solution approach can become greater than the sum of its parts.


OT and IT seek to expand constraints

A reality is work performed in OT and IT environments are subjected to unique constraints. One key challenge is traditional hardware and software solutions used by OT and IT evolved from different starting points. They are used by distinct groups of people whose objectives and skill sets were not the same. OT and IT specialists often find themselves out of their element when exposed to common tools used by the other group.

Engineers play a critical role in integrating legacy systems into the digital landscape of today’s businesses. The new-age enterprises thrive on technologies such as artificial intelligence (AI) and machine learning (ML), Big Data and analytics, and robotic process automation (RPA). To optimize these technologies, organizations need to either overhaul their operations completely or make use of the existing setup and intelligently transform them as per the business needs. This makes strategizing a very important gamut of the digital transformation exercise.

A complete overhaul is not only cost-intensive but also risks compromising business continuity. As a result, organizations generally opt for the latter option and gradually transition legacy systems while keeping a close look at the lifecycle.

Since the advent of the programmable logic controller (PLC), automation controllers of all kinds have made their way into industrial applications, including programmable automation controllers (PACs) and today’s edge programmable industrial controllers (EPICs). Users have many options in terms of cost, footprint, input/output (I/O) density, fieldbus compatibility, communication, programming options, and processing speed with competition among vendors looking to establish supremacy.

While it’s generally true diversity is healthy for the market, it also can be a source of frustration for engineers and end users. Selecting a control platform is often a long-term investment and carries related overhead like training and support contracts. Decision-makers want the reassurance they are putting their money to work in the right way.

The industrial internet of things is the network of industrial devices connected by communication technologies that result in systems that can monitor, collect, exchange, analyze, and deliver data. Simply put, Industrial Internet of Things refers to smart machines and devices a business uses that are connected to the internet and provide real time data and analytics. It brings together machines, analytics, and the people that make it all work. It can be as advanced as a fully automated mass production line that tracks maintenance, productivity and even ordering and shipping information across a huge, multi-layered network. This data can be used to improve existing work practices and business processes as well as creating entirely new ways of doing things.

Cybersecurity poses a serious threat to the Industrial Internet of Things (IIoT) enabled devices and robotic automation equipment. Attackers who gain access to industrial networks have a number of devastating options available to them, from changing production data to causing harmful production errors.

Cybersecurity in the robotics field is still immature, but manufacturers are starting to realize the vulnerability that connected robots and automation equipment creates in their operations. For those seeking to beef up their cybersecurity and protect their business, there are a number of options available to them.

Product lifecycle management, or PLM, is the process of managing the entire lifecycle of a product from inception through end-stage disposal. It is sometimes considered one of four information technology cornerstones for a manufacturer, alongside customer relationship management (CRM), supply chain management (SCM) and enterprise resource planning (ERP).

The PLM concept began in the mid-1980s when American Motors Corporation (AMC), intent on establishing a competitive advantage over the auto industry giants of the time, put its focus on using technology to speed the product development process. Although AMC was ultimately acquired by one of those giants, its innovations were integrated into modern manufacturing tech and have played an invaluable role there ever since.

As the virtual world collides with real-world manufacturing issues, the winners will be those who successfully navigate the challenges of both the technology and the people who will operate it. That was the central theme of the 2018 Global Automation and Manufacturing Summit (GAMS), presented by CFE Media and Hannover Messe USA and sponsored by Siemens, SAP, Advantech, Beckhoff, Infor, Stratus, UL, Universal Robots, and Lapp.

The half-day thought leadership event that took place Sept. 12 as part of IMTS 2018 in Chicago drew a full house of manufacturing leaders looking to navigate the challenges faced in an age of robotics, artificial intelligence (AI), and the Industrial Internet of Things (IIoT).