Even smarter manufacturing

I haven’t toured a manufacturing or processing facility that left me thinking, “That was a dumb manufacturing plant.” Even so, smart manufacturing is impressive. Learn from these examples.

By Mark T. Hoske September 18, 2021
Courtesy: University of New Hampshire InterOperability Laboratory (UNH-IOL).


Learning Objectives

  • Improve return on investment for smart manufacturing.
  • Implement industrial digital technologies to help smart manufacturing.
  • Support the plant with off-site experts, 3D digital twin, augmented reality.

Eight online examples below and five more in this issue provide examples of how smart manufacturing technologies add intelligence, speed, economy and safety. Think again about how intelligence in software can improve your hardware, processes, and people.

Smarter communications, smarter manufacturing

Smart manufacturing can improve with time-sensitive networking (TSN), controller-to-controller communications and safety networks, edge computing and vertical integration, advanced physical layer (APL), and fifth-generation cellular (5G) technologies. PI North America

Can you improve ROI with Industry 4.0?

Return on investment (ROI) is a hot topic for mid-sized manufacturers interested in investing in operational improvements on the factory floor. FactoryEye by Magic Software Enterprises

Great smart manufacturing initiatives deserve great funding

How to present a business case to get smart manufacturing projects successfully approved and implemented. Grantek

Unlocking smart manufacturing ROI

A system integrator explains six industrial data requirements for factories of the future using an apple-pie baking example. L&T Technology Services

How to find the ROI in smart manufacturing

Whether it’s called smart manufacturing, Industry 4.0, or the Industrial Internet of Things, (IIoT), installing a smart platform for the sake of implementing new technology doesn’t produce the desired result; it must be practical, usable and focus on business benefits. Maverick

Scaling machine learning for the manufacturing masses in manufacturing

Enabling access to machine learning (ML) algorithms in easy-to-use advanced analytics applications accelerates insights in process data. A specialty chemical manufacturer used ML tools to predict over 90% of quality deviations and save more than $500,000 per year in quality downgrades. Seeq Corp.

Off-site experts support the plant using 3D digital twin, augmented reality

For operations, a 3D digital twin of a plant can be used to navigate to a virtual representation of an asset to access information about the real asset. ARC Advisory Group

Digital twin tag management for engineering documents

Digital twin: An interactive, one-to-one scale digital replica of the asset and every component, system or piece of equipment within it, updated in real-time gives the asset owner a powerful monitoring tool and testbed. Idox

Power over Ethernet benefits, applications and certifications

Power over Ethernet (PoE) technology has been around nearly 20 years, but there’s still confusion about what it can and can’t do for end users and what the certifications mean. University of New Hampshire InterOperability Lab

In this issue

In this issue, on this topic, see: How do you break the trap of IIoT development? Finding the ROI in smart manufacturing, digital transformation; How to calculate digital transformation ROI; Factory of the future: How to vitalize digital transformation; and Exploring industrial wireless best practices: More answers.

Mark T. Hoske is content manager, Control Engineering, CFE Media, mhoske@cfemedia.com.

KEYWORDS: Smart manufacturing, Industry 4.0


Are you wishing for or implementing today’s advanced technologies for better ROI?

Author Bio: Mark Hoske has been Control Engineering editor/content manager since 1994 and in a leadership role since 1999, covering all major areas: control systems, networking and information systems, control equipment and energy, and system integration, everything that comprises or facilitates the control loop. He has been writing about technology since 1987, writing professionally since 1982, and has a Bachelor of Science in Journalism degree from UW-Madison.