For some, the terms Artificial Intelligence (AI) or the Internet of Things (IoT) may seem that they belong in a distant future and that they are about intangible concepts that are far from our reality.

 

The truth is that the Internet of Things is already part of our lives. Sometimes quite obviously, but other times more subtly.

 

You’ve probably noticed that content channels, like YouTube and Netflix, for example, seem to make video suggestions based on your profile. How do they do that? They do it using artificial intelligence.

 

It’s also probable that you know someone - or maybe even yourself - who bought an Amazon Echo that comes with Alexa, Amazon’s virtual assistant. Even more so, your phone has either Siri (Apple iOS) or Google (Android). These are examples of already existing AI and technology that we use to interact with the internet of things. 

 

Virtual assistants, speech recognition apps and transcription, deep learning platforms, biometrics and applications are examples of AI that help organizations in decision-making: artificial intelligence is everywhere.

 

However, we’re still taking the first steps towards adopting technologies that help us take a strategic approach to overcoming the day-to-day challenges we face in enterprise and industrial asset management.

 

 

Smart Plants: the future is here

 

The concept of Smart Plants emerged from the 4th Industrial Revolution - Industry 4.0 is still seen as something far from reality.

 

The use of technologies such as AI and the IoT has already bridged this gap, giving way to the IIoT - The Industrial Internet of things. With IIoT, we’ll be able to reduce costs, increase security (without sacrificing productivity), monitor assets in real-time, optimize maintenance workflows, and dramatically reduce downtime.

 

In short, Smart Plants are the future of Asset Management.

 

It is normal to think that IIoT and AI solutions belong to the future, that you don't have to think about it now; after all, it might not even fit your budget, right?

 

It might be time to review your concepts about industrial maintenance  and the technology that supports it.

 

The Global Interconnection Index estimates that investments in Cloud (cloud storage), Machine Learning, and IoT are expected to increase by more than 70% in the coming years, and this only in companies in the electricity sector.

 

This type of investment, and the consequent technological advancement, has become a trend in many other industries.  It’s therefore essential for you to think about your current Asset Management strategy and how AI and IoT-friendly solutions may help you replace your existing but outdated technologies.

 

These solutions can help you avoid process failures or interruptions, plan and schedule shutdowns and repairs, and deliver regular reports on the operational conditions of your most important production assets.

Do you now realize how beneficial AI and IIoT can be for your business?

By now, you may be thinking about how to implement Smart Plants to your Asset Management process.

Let us help.

 

 

 

How to develop a Smart Plant?

 

 A Smart Plant is not implemented overnight. It is necessary to divide this process into stages, preferably aiming to meet short, medium, and long-term goals.

 

Each plant and project have their own particularities and complexities. Therefore, we’ll discuss in detail the basics for successfully implementing an Intelligent Industrial Plant.

 

There are four main key areas that you’ll need to address:

 

  • Data Integrity
  • Eliminating Paper
  • Reliable Reporting
  • Accurate Decision-Making

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Data Integrity

 

Late or expired maintenance orders. Codes entered incorrectly. Poorly configured SAP. Are any these problems familiar?

 

These issues are common causes of more serious problems such as idle labor and equipment downtime, just to name a few. This type of problem can be corrected by ensuring data integrity, meaning that there is access to end-to-end correct and reliable data.

 

 

 

Eliminating paper

 

This is one of the most important steps for the implementing Smart Plants.

 

Data needs to be passed quickly from the physical to the digital environment. It is increasingly important that incidents or events of any nature are reported in real time.

 

In some plants, it is possible that information that was relevant this morning is no longer relevant this afternoon. Therefore, agility is essential for this process. There are mobile EAM solutions on the market that not only eliminate paper, but also allow data recording with greater speed and reliability.

 

 

 

Reliable Reporting

 

Asset management, strategy planning and execution depends on reports with correct and reliable information.

 

To develop a proper smart plant, it’s necessary to fix reports that arrive with late, low-quality, and even missing information.

 

 

 

Accurate Decision-Making

 

Information is crucial to any maintenance manager's decision-making process. Reports transform data into information, so it becomes necessary to work with complete data and reliable reports to have a strong and accurate decision-making process.

 

Every day, planners deal with high volumes of complex information. Some of their daily responsibilities include:

 

  • Allocating labor resources
  • Monitoring parts availability
  • Managing scheduled stops
  • Monitoring certificates and qualifications
  • Health Safety, Environment and Quality (HSEQ)


It’s possible to help planners execute their routines by using AI and IoT solutions capable of handling, cross-referencing, and analyzing large amounts of data and information.

 

In the end, these solutions will help planners’ focus on better decision-making than on routine tasks, and as such making their decisions more accurate. These solutions not only improve routine and working conditions, but also contribute to operational excellence.

 

 

 

Paradigm Shift

 

In addition to all we’ve mentioned above, developing Smart Plants also depends on a profound paradigm shift.

 

We understand that successfully adopting new technologies depends on intense cultural changes. It’s normal to be skeptic or to feel that you are not fully prepared for such changes.

 

At Sigga, we’re here to help you, offering cutting-edge solutions in Artificial Intelligence and the Internet of Things, and helping to go through this complex and necessary process that will help your business perform better and operate as an industry of the future.

 

To help our customers learn more about this topic we’ve created our new eBook:

 The Perfect Plant – The Future of SAP Plant Maintenance in the New Paradigm of IOT & AI

 

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HOW WE CAN HELP

 

Sigga‘s almost 2 decades’ experience in SAP integration, asset management, and industrial maintenance solutions can efficiently guide you and your company through the process. You can partner with a company trusted by global industry giants such as ABInbev, Bunge, Danone, Petrobras, and Saint-Gobain.

 

Sigga’s solutions allow you to optimize your data flow, execute maintenance routines, eliminate unproductive tasks, excessive unnecessary shifts, and reduce paper usage to zero.

 

Using Sigga’s EAM Product Suite greatly facilitates executing your asset management strategy objectives as well as reaching your asset performance and productivity goals.

 

 

Find Out How

 

 

Enable your company’s digital transformation. Learn more about Sigga’s Solutions portfolio.

 

 

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