Digital Twins in manufacturing: 5 advantages that the industry pros must know

About Plataine
This post is brought by Plataine, the leading provider of Industrial IoT and AI-based manufacturing optimization software. Learn more or get the latest guide on How Smart your Factory Really Is.

The term digital twin may seem like something taken straight out of a Sci-Fi novel, but when you learn what it actually means to manufacturers you realize that it is actually not only exciting but quite valuable too.

“Think of a digital replica…” 

On a very high level, the digital twin concept in manufacturing represents an environment almost identical to the physical production floor, only fully virtual and digitized. This replica may be created for one particular section within the work environment or the entire plant, and is used to simulate, predict and optimize every part of the manufacturing process.

Modeling isn’t new… only now it’s being leveraged as part of the 4th Industrial Revolution.

The advanced technological enablers and capabilities implemented within a digital twin environment may include IoT, AI, advanced analytics, and others. The digital twin uses machine learning capabilities, for instance, to generate accurate predictions for multiple scenarios which may or may not take place on the production floor; it helps decide between different alternatives based on estimated performance, prepare for multiple worst-case scenarios, and analyze incidents. 

Did you know?

One great example of digital twins usages comes from Singapore, where the city-state itself has a replica to support city planners!

The global digital twin market size was valued at USD 2.26 billion in 2017 and is expected to expand at a CAGR of 38.2% from 2018 to 2025. In addition, according to  a recent survey by Gartner, 75% of the organizations that are currently implementing IoT capabilities also use digital twins or plan to do so within a year.

Source: Grand View Research

Digital twins in manufacturing

It’s easier to list the ways in which digital twins may not be used in manufacturing optimization that it is to list all the wonderful possibilities they bring to the table. In fact, I almost can’t seem to come up with any manufacturing scenario in which a digital twin will fail to come in handy.

Industry 4.0 technologies lean on digital twins. By adding sensors to specific assets, collecting data, building digital replicas and using machine based intelligence, manufacturers can understand how these assets will behave in real-time, in the real, physical world. Then, they can make smart decisions with confidence, and boost business results.

Digital twins are used to analyze material-consumption to reduce costs, identify inefficiencies, simulate tool tracking methods and more. Manufacturers create a digital clone for specific equipment items and tools, complete products or systems, entire procedures, or anything else they wish to optimize within their production floor operations.

Sometimes, the digital twin can be the original product and the physical version is created based on digital simulations. Other times, the physical product may already exist but can be replicated and later on customized in many ways using a digital version.

Thanks to the growing implementation of IoT solutions in manufacturing, the next stage of harnessing these connected devices to form a digital twin is easier. The manufacturing market today is relatively educated on the advantages of using such solutions, which helps to pave the way for this smart approach.

Some specific use cases are currently more prominent than others.

We’ve identified 5 main digital-twin advantages that transform the manufacturing world 

With many use cases come many advantages, but the following five prove to be more significant to manufacturers:

  1. Process control and management: Once you have created a digital twin for every asset on the manufacturing floor, it is possible to control and manage complete processes. the representation of a process is called a digital thread, which includes digital representation of every operation, equipment, material and the relevant production history related to these objects. This digital representation enables manufacturers to manage and control every step of the process in a more efficient way and make necessary adjustments while taking all the variables into consideration. Furthermore, it improves visibility and traceability, which are key to auditing and quality processes.
  2. Visibility:  Digital twins enable to capture the location, status and condition of every asset on the factory floor. No matter how big and complex the production environment is or the quantity of the assets you want to track, the digital twin enables manufacturers to gain control of the entire factory, down to the granular level of every station and object.
  3. Factory management: Digital twins allow manufacturers to enjoy a smart, controlled production chain and enable managers to gain immediate access and overview of the production floor. If anything goes wrong, factory managers can detect the problem, identify the cause and recommend the right solution in real-time.
  4. “What if” scenarios: An AI-powered software can evaluate enormous amounts of scenarios and recommend on the optimal plan. This is possible by using a digital model of the manufacturing process, comprised of digital twins. Running ‘what if’ scenarios on a daily basis,  allows manufacturers to better cope with changes in schedules, unexpected rush orders and responding to production line malfunctions.
  5. Analysis and predictions: Not only future scenarios are analyzed and prepared for, but also the next possible step manufacturers may take during the process. The machine learning capabilities enable manufacturers to compare performance results for different patterns, analyze every maintenance issue and bottlenecks for multiple possible outcomes, and make an educated move based on data analytics. You can learn about 5 concrete use-cases in this article, which will shed more light on the type of predictions I am discussing here.

Summary 

In this article, I examined only a few advantages that the digital twin concept brings to advanced manufacturers, but there is much more to gain from digitizing your factory and fully adopting this concept. This will improve your flexibility and strengthen your competitive advantage. Digital twins might be a virtual replica of your physical assets, but the outcomes and savings are very, very real.

Don't miss new updates on your email

The Tremendous Power Of AI In Manufacturing Optimization – 5 Examples That Clear The Mist

When the word ‘AI’, enters the discussion things become interesting. “Oh, we already use AI,” people say to me.

I’m always happy to indulge in conversations about AI use cases, so I immediately ask if they would be OK with telling me a little about their system, and how exactly it’s being used.

Then, as the discussion continues, it becomes clear that they were actually referring to BI, reports and dashboards and not AI in the deep sense that I was.
Don’t confuse AI with data analysis and dashboards

Read More >

Industry 4.0 Survey Highlights: 2020 Global Manufacturing Trends Brought to You by SME and Plataine

The digital manufacturing transformation is continuing to grow at full speed. As it is a part of a cross industry shift, specifically in the advanced manufacturing industry, enterprises deal with crucial and expensive procedures.
SME & Plataine surveyed the market to identify important Industry 4.0 trends in 2020. We compared the findings to trends we’ve identified in our last survey that we ran in 2018, and we published an industry report that presents and highlights our most important findings. As you will soon read, a lot has changed over the course of 2 years.  

Read More >

Industry 4.0 Solutions for SMBs – Why small & medium size industrial companies need to embrace cloud-based solutions

As a provider of Industry 4.0 solutions for advanced manufacturing, we often hear small and medium size manufacturers (SMBs) tell us they are concerned Industry 4.0 and IIoT is only suitable for large industrial corporations.
The advantages Industry 4.0 technologies deliver are clear: streamlined production, increased capacity and throughput, improved quality, reduced re-work and waste, and total visibility.
So, the question is, what’s holding SMBs back from implementing Industry 4.0 and IIoT-based solutions?

Read More >