Radwell International’s Blog

It’s human nature for us to be reluctant to any type of change. However, in the world of Manufacturing, it is becoming imperative that we do so. Below are some of the many reasons why companies in the Manufacturing Industry should adopt Digital Transformation tools and resources.

As technology continues to grow and expand, so does the Industrial Revolution. There are four established stages as of now, with a fifth beginning to take shape. It started with the first stage of mechanized production. During this stage, water wheels and steam engines were created, and manufacturing moved from manpower to machine power. The second stage was mass production. A major technological advancement was achieved in the form of electricity. This technological advancement allowed for the creation of assembly lines. The third stage was the Digital Revolution. Analogue electronics and mechanical devices were expanded into digital technology such as personal computers, the Internet, and information and communications technology.

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.

Obsolescence is an unavoidable part of any manufacturing endeavor. No matter how well your company has planned, some factors are more challenging to consider in advance than others.

In the era of Industry 4.0, new technology continues to revolutionize the manufacturing industry. Industry professionals view it as the latest industrial revolution, hence the Industry 4.0 moniker. Big data and computing technologies are the front-runners in innovations proving value to manufacturers. It is more crucial now than ever to remain on the leading edge of new technology. Upgrading equipment to provide greater efficiencies will provide a greater return on the investment.

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.

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).