Upcoming Public Workshops:

Planning & Scheduling Fundamentals

January 2020

28 - 30
Charleston, SC
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Reliability Fundamentals

February 2020

4 - 6
Charleston, SC
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Reliability Improvement Roadmap Workshop

February 2020

18 - 18
Houston, TX
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Digital Transformation in Reliability

February 2020

19 - 19
Houston, TX
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Introduction to Reliability Centered Lubrication (RCL)

February 2020

20 - 20
Houston, TX
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Shutdown, Turnaround, Outage

February 2020

25 - 27
Houston, TX
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Advanced Reciprocating Compressor Analysis

March 2020

3 - 5
Houston, TX
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Condition Monitoring Fundamentals

March 2020

17 - 19
Houston, TX
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Planning & Scheduling Fundamentals

March 2020 - April 2020

31 - 2
Houston, TX
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Leading Reliability Improvement

April 2020

21 - 23
Houston, TX
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Root Cause Analysis (RCA)

April 2020

28 - 30
Charleston, SC
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Basic Reciprocating Compressor Analysis

April 2020

28 - 30
Houston, TX
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Reliability Fundamentals

July 2020

7 - 9
Charleston, SC
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Condition Monitoring Fundamentals

August 2020

4 - 6
Charleston, SC
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Reliability Improvement Roadmap Workshop

August 2020

11 - 11
Charleston, SC
Register Now
Planning & Scheduling Fundamentals

August 2020

18 - 20
Charleston, SC
Register Now
Leading Reliability Improvement

September 2020

15 - 17
Charleston, SC
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Reliability Fundamentals

September 2020

22 - 24
Charleston, SC
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Intermediate Planning & Scheduling

September 2020 - October 2020

29 - 1
Charleston, SC
Register Now
Shutdown, Turnaround, Outage

October 2020

6 - 8
Virtual
Register Now
Root Cause Analysis (RCA)

October 2020

6 - 8
Charleston, SC
Register Now
Leading Reliability Improvement

October 2020

13 - 15
Charleston, SC
Register Now
Basic Reciprocating Compressor Analysis

October 2020

13 - 15
Houston, TX
Register Now
Reliability Fundamentals

November 2020

3 - 5
Charleston, SC
Register Now
Reliability Improvement Roadmap Workshop

November 2020

17 - 17
Charleston, SC
Register Now
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Reliability Based Maintenance

How IIoT Technology Is Transforming the Reliability Industry

Why is IIoT technology so powerful for so many industries? IIoT technology is essentially any internet-enabled device, from smart printers to warehouse sensors. An IIoT device is consequently able to send important information back to a centralized location, through which this information can be monitored and analyzed. It's easy to see why IIoT technology is so effective, especially in the reliability industry.

Let's explore some major changes.

The Benefits of Real-Time Analytics

Many sectors are moving toward real-time analytics, which provides a wealth of information that a business owner or manager would not otherwise be able to acquire or react to. As businesses become more connected through the Industrial Internet of Things, it is possible to perform assisted and unassisted data-derived monitoring tasks.

Real-time analytics means that technicians can be deployed the second that equipment starts to malfunction and triggers an alert, and that troubleshooting can be initiated sooner on highly complex equipment. In areas where there may be dozens if not hundreds of pieces of equipment, real-time analytics provides for a much broader and fuller picture of overall system health.

Consider wind generation: Wind generation has been utilizing big data for the past decade. Smart grid systems allow for rapid responses and the control of energy sources, to improve the cost and efficiency of power delivery, which in turn increases the resiliency of the system.

Or in the case of large radio communications systems, with multiple antennas that may be impossible to monitor on their own. With IIoT sensors, companies are able to immediately see which antenna is suffering from technical issues, often even able to pinpoint the precise technical issues that need to be addressed. Any organization that has a difficult time managing its equipment or its inventory can benefit from the acquisition of IIoT monitoring solutions.

Improving Operations and Lowering Costs With IIoT

IIoT is rapidly becoming popular because it allows for organizations to optimize their operations and their costs. This can be done in a few major ways:

  • Predictive maintenance. Imagine having a sensor that can identify when a piece of equipment is operating with a known failure mode present or when an asset has not been properly maintained per a time-based schedule. Predictive maintenance (PdM) means that equipment can be repaired before functional failure causes downtime throughout the company, likely leading to more significant repairs. Additionally, with IIoT, machine learning and AI technologies can be used to improve and better manage overall Asset Management strategies. Companies will be able to determine the appropriate combination of PdM sensors coupled with operational data to improve upon their current processes and capabilities.
  • Performance metrics. IIoT sensors can easily track the performance of equipment such as wind operations, trucking operations, or shipping and logistics. Organizations can see where their performance may be suffering and where potential bottlenecks could lie. This provides valuable metrics that will make it possible for an organization to better improve reliability on a granular level, as they will be able to see real-time information rather than projected information on general performance.
  • Recommended repair. It is not just that IIoT sensors can tell technicians when equipment is operating in a less than reliable state. They can also prescribe specific repairs or procedures for the technicians to make. IIoT can be extremely advanced, able to report when equipment is unbalanced, overloaded, or overheated. This gives technicians important information, allowing them to arrive with the appropriate materials and tools for a timely repair.
  • Better inventory management. IIoT device have the ability to provide significant improvement throughout the materials management supply chain. While these devices can track existing inventory usage and reduce the potential for shrinkage, they can also be used to manage the future stocking levels based on known and identified defects within the system (i.e., number of bearings, motors, or pumps with defects present). Companies are able to immediately see in real-time what their most important and critical inventory items are and thereby deploy them with greater logistical efficiency.

These are only a few of the ways in which IIoT can immediately impact the overall reliability of operations. Companies that want to improve reliability and increase productivity should explore how IIoT can help. Because IIoT has numerous use case applications and varies tremendously across sectors and industry verticals, companies are able to identify solutions that add the most value for them.

Learn More About How IIoT is Transforming Reliability

Do you want to dig in deeper? Check out Allied's report on digital transformation in the industry.

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