DZone
Thanks for visiting DZone today,
Edit Profile
  • Manage Email Subscriptions
  • How to Post to DZone
  • Article Submission Guidelines
Sign Out View Profile
  • Post an Article
  • Manage My Drafts
Newsletter
Log In / Join
Refcards Trend Reports
Events Video Library
Refcards
Trend Reports

Events

View Events Video Library

Related

  • DevOps at the Edge: Deploying Machine Learning Models on IoT Devices
  • Exploring Cloud-Based AI/ML Services for IoT Edge Devices
  • Harnessing the Power of MQTT for the Future of IoT
  • Adaptive Sampling in an IoT World

Trending

  • Going All In On the JVM 25 Virtual Threads
  • Java 8 Optional - Avoid Null and NullPointerException Altogether - and Keep It Pretty
  • Replay, Scheduling, and Throttling: Engineering a Self-Service Kafka Streaming Tool at Scale
  • Putting Guardrails Around What Your AI Agent Is Allowed to Touch

Draft This article hasn't been published, so readers can't see it.

In moderation This article is waiting for review, so readers can't see it yet.

Deleted This article has been deleted, so readers can't see it.

  1. DZone
  2. Data Engineering
  3. AI/ML
  4. What To Know Before Implementing IIoT

What To Know Before Implementing IIoT

Industrial Internet of Things (IIoT) technology offers many benefits for manufacturers to improve operations. Here’s what to consider before implementation.

By 
Zac Amos
·
Mar. 17, 23 · Opinion
Post on X (opens in a new tab) Share on LinkedIn (opens in a new tab)
5.5K Views

Join the DZone community Save articles, join the discussion, and download Refcards and Trend Reports with a free account.

Join for free Already a member? Log in

Anyone in the industrial space knows how important it is to update their business with the latest technologies and equipment. Companies with capabilities, such as predictive maintenance, higher visibility, and improved efficiency, often outperform their competitors, who may rely on outdated information or antiquated systems.

One trend in the manufacturing industry many professionals are discussing is the Industrial Internet of Things (IIoT). IIoT technology offers plenty of benefits for manufacturers to improve their operations. Explore the assets of IIoT and discover some important considerations manufacturers should make before implementing this emerging technology.

Understanding the Benefits of IIoT

Companies in the manufacturing sector are becoming increasingly digital each day. More executives and employees realize the benefits of new digital technologies, including, but not limited to, artificial intelligence, machine learning, machine-to-machine communication, and the Industrial Internet of Things.

Here are some of the primary benefits of IIoT technology:

  • Better quality products
  • Faster operations
  • Higher energy-efficiency
  • Enhanced safety
  • Reduced costs
  • Improved decision-making
  • Less equipment downtime

Additionally, manufacturing facilities with IIoT technology benefit from predictive maintenance. Fixing potential equipment failures before they occur can help businesses keep operations running smoothly.

5 Considerations Before IIoT Implementation

Some may think only large manufacturing companies can implement IIoT, but this is not the case. Small businesses can also leverage IIoT technology for all the benefits it offers. Research shows the most tech-savvy small businesses can earn almost twice as much revenue per employee as other small businesses.

Before manufacturers implement IIoT technology, there are several factors to consider. Below are some of the critical considerations manufacturers should take into account:

1. Cost and ROI

With any technology, considering the cost and the potential ROI is critical. Manufacturers looking to make their buildings smarter—which is becoming increasingly common—can do so using IIoT, but it could be expensive. Thankfully, there are plenty of IIoT solutions out there suitable for businesses with various budgets.

2. Security and Data Management

Implementing IIoT technology can expand a company’s attack surface, making it easier for malicious actors to launch cyberattacks. Therefore, securing the IIoT solution is of the utmost importance. Additionally, IIoT generates massive amounts of data. Businesses must figure out how to store, analyze, and understand that information.

3. Scalability

Can IIoT scale with the business? That’s a question manufacturers must answer if they want to implement IIoT. Any solution in a company’s tech stack should be scalable and support future growth. Cloud-based solutions are often the go-to because the cloud is highly scalable by nature.

4. Interoperability

Another consideration manufacturers should make is whether or not the IIoT solutions they’re interested in will work well with other existing systems in their facilities. If not, the transition to IIoT tech could become too expensive, as it may require companies to update all their outdated tech. Interoperability is a critical characteristic all IIoT solutions should have to help manufacturers succeed with implementation.

5. Employee Training

Workers need to receive adequate training regarding new IIoT technologies. How effective are IIoT technologies without employees to operate or maintain them? Simply put, manufacturers should ensure team members buy into the idea of IIoT implementation and offer various training opportunities to help ease the implementation process.

Preparing To Implement IIoT

Before implementing IIoT, manufacturers should identify their business objectives and goals, ask important questions about IIoT solutions and how they fit into their operations and be sure they can afford them. Manufacturers should take the considerations outlined above into account when thinking about implementing IIoT tech.

Implementation Interoperability Machine learning Cloud IoT

Opinions expressed by DZone contributors are their own.

Related

  • DevOps at the Edge: Deploying Machine Learning Models on IoT Devices
  • Exploring Cloud-Based AI/ML Services for IoT Edge Devices
  • Harnessing the Power of MQTT for the Future of IoT
  • Adaptive Sampling in an IoT World

Partner Resources

×

Comments

Loading comments

The comments didn't load

Please try again in a moment.

Likes

Loading

The next likes didn't load. Please try again.

The likes didn't load

Please try again in a moment.

See who liked this

Log in or join DZone for free to see who liked this article.

Log in Join for free
  • RSS
  • X
  • Facebook

ABOUT US

  • About DZone
  • Support and feedback
  • Community research

ADVERTISE

  • Advertise with DZone

CONTRIBUTE ON DZONE

  • Article Submission Guidelines
  • Become a Contributor
  • Core Program
  • Visit the Writers' Zone

LEGAL

  • Terms of Service
  • Privacy Policy

CONTACT US

  • 3343 Perimeter Hill Drive
  • Suite 215
  • Nashville, TN 37211
  • [email protected]

Let's be friends:

  • RSS
  • X
  • Facebook