Menu

M2M FEATURE NEWS

In Digital Transformation, Operational Excellence is the Real Prize

By Special Guest
Robert Golightly, Senior Manager, APM product marketing, AspenTech
April 24, 2018

The volume of data being collected by industrial companies has increased exponentially. Enabled by IIoT sensors, high-performance computing and cloud technologies, analysis and predicting outcomes around complex problems has been made a reality in a way that conventional engineering, operations and maintenance technologies have not been able to in the past.

Many companies approach Digital Transformation by ‘sensorizing’ all their equipment, collecting data and hoping it turns out insights on what to improve. Rather, they should start with an area that needs fixing. The key to benefiting from digitalization is to select those areas of investment that create the most value and use data to enable sustained operational excellence. And it’s the combination of data, analytics and process knowledge with organizational excellence — meaning the alignment of talented, experienced professionals with the most critical needs of the business through coherent and effective processes — will make the difference between digital transformation’s success and failure.

One of the biggest areas of opportunity for asset-intensive companies is in asset optimization, or driving value across an asset’s entire lifecycle.

Asset performance management as a digitalization focus
Changing market dynamics require industrial companies to consistently obtain the highest possible returns from their assets. The time is ripe – computing costs are at their lowest ever and hardware and software developments such as sensors on and around machines, Windows, Linux, Hadoop and industrialized machine learning can leverage existing infrastructure like plant historian sensor data streams and enterprise asset management (EAM) systems inside plants and factories.

There is a rare opportunity right now to do things differently – by optimizing maintenance with operations and with the ability of analytics to predict a problem early on, when there is enough time to do something about a problem or at least mitigate its impact. Operational analytics gives industrial companies a science-based ability – from past, present and future insights – to make the right decisions that enables them to run their equipment and design their processes in a way that avoids the damage and degradation that leads to breakdowns.

These challenges can only be solved with a greater understanding of how the process impacts the asset and vice versa, and it takes deep process domain and modeling expertise combined with data science to provide the rich context necessary to predict and avoid asset performance issues accurately.

Reliability as one leg of the asset optimization “stool”
Reliability is often looked at in isolation. It should, though, be viewed as one key leg of the asset optimization “stool.” High-performing organizations pursue asset optimization in a framework encompassing the total asset lifecycle, involving the design-operate-maintain continuum. Each aspect impacts the other, and improving overall asset lifecycle performance will naturally improve reliability.

There are several ways to use digital transformation to do this. One is through better design, which can be facilitated through digitalization and integration. Data from operations, over time, when properly analyzed, can identify the equipment, process units and designs operating with the best reliability and performance. Feeding this data back into design, and re-using the most reliable designs which have already been executed, can drive to design for reliability.

A second approach is to employ modeling to understand where conditions for low reliability are being created and to look at alternative operating cases that will achieve higher reliability. A third approach is through probabilistic, enterprise reliability modeling, which can identify the “pressure points” where, in the specific interconnected process manufacturing and supply chain system, investment will have the highest reliability and profitability returns.

Homing in your digital transformation strategy now
Industry leaders are moving from the hype and buzz of digital transformation into the implementation of real projects. Reliability and machine learning are easy areas to progress, because the efficacy of a solution can be easily tested and proved with a historical data set of process performance and equipment and unit failure events. As asset optimization and asset performance management is adopted by industry leaders as a sustainable driver of growth, maximizing the net return on production assets will become a strategic priority, not just an operational metric.

We are experiencing the next big wave of technology – all about driving uptime in operations and extending the life of assets, especially as CAPEX budgets become tighter. The key is to define a pragmatic technology roadmap that will realize value quickly, enable operational excellence at a cultural level and from which initial success can be scaled. Operational excellence is what will separate the winners from the losers.

About the author: Robert Golightly is senior manager, Asset Performance Management (APM) product marketing at AspenTech. Prior to his current role, Golightly managed the product marketing function for the company’s advanced process control (APC) and Manufacturing Execution Systems (MES) product lines. Robert’s professional background includes work for SaaS provider FineTooth and for Pavilion Technologies.



Get stories like this delivered straight to your inbox. [Free eNews Subscription]


SHARE THIS ARTICLE
Related Articles

Beyond the Closet, Connecting to IoT

By: Gary Audin    11/11/2020

Two challenges arise when considering cable based IoT.

Read More

Banyan Security Enhances Secure Remote Access for Engineering Resources

By: Ken Briodagh    10/27/2020

Banyan's Continuous Authorization Can Grant or Revoke Access to Sensitive Engineering Environments and Applications in Real-time Based on TrustScore

Read More

Senet Eyes RAN Partnerships as Key to Delivering Network Services for Massive IoT

By: Arti Loftus    10/21/2020

To meet the challenges that come with providing network connectivity for IoT solutions, Senet is executing a strategy for massive IoT that will be bui…

Read More

mimik Selected by 5G Open Innovation Lab to Drive Early Adoption of 5G

By: Ken Briodagh    10/15/2020

mimik's patented Hybrid Edge Cloud platform will boost the performance and reduce the cost of 5G Networks

Read More

5G Sets New Standards for Vertical Industries' IoT Connectivity

By: Special Guest    10/13/2020

As 5G rolls out across the world, vertical industries across IoT are working on additional standards to make the technology suitable for their industr…

Read More