Article | December 10, 2021
IoT in the manufacturing industry introduces a superior technology that is coming up as a blessing for the industry. Manufacturers are enjoying one-of-a-kind benefits and returns on their reinvestments in IoT. Benefits such as enhanced productivity, work safety, reduced downtime, cost-effective operations, and more such benefits of IoT in manufacturing make it more and more popular with each passing day.
The global IoT market is estimated to reach a value of USD 1,386.06 billion by 2026 from USD 761.4 billion in 2020 at a CAGR of 10.53 percent over the forecast period of 2021-2026. So the whole worldwide market of IoT has a bright future in the following years.
“As technology takes over and enhances many of the processes we used to handle with manual labor, we are freed up to use our minds creatively, which leads to bigger and better leaps in innovation and productivity.”
– Matt Mong, VP Market Innovation and Project Business Evangelist at Adeaca
Let’s check out below some exciting facts about IoT in manufacturing and see how IoT makes a difference in the manufacturing industry.
IoT in Manufacturing: Some Interesting Facts
According to PwC, 91% of industrial/manufacturing enterprises in Germany invest in "digital factories" that use IoT solutions.
According to the International Federation of Robotics (IFR), China employs more industrial robots than any other country (many of which are connected to the internet in some way).
According to IoT Analytics, the industrial sector spent more than $64 billion on IoT in 2018 and expects investment in Industry 4.0 to reach $310 billion by 2023.
According to the Eclipse Foundation, most IoT developers are focused on developing smart agriculture systems (26%), while industrial automation is another big focus area (26%). However, home automation is dwindling in popularity, accounting for just 19% of projects.
How Does IoT Work for the Manufacturing Industry?
The Internet of Things (IoT) is a network of interconnected devices that communicate with one another and with other networks. While IoT-enabled devices are capable of various tasks, they are primarily employed to collect data and carry out specific tasks. The implementation of the Internet of Things in manufacturing is often referred to as the IIoT, or Industrial Internet of Things.
IoT makes use of 'smart' devices to collect, process, and act on data. These intelligent devices are equipped with sensors and other software that enable them to communicate and exchange data inside the network.
IoT-enabled equipment gives crucial real-time data that enables manufacturers or machine operators to make informed decisions. So, how does it function in practice?
Sensors capture data from the system and transfer it to the cloud, where it can be analyzed.
The data is transferred to the quality assurance system.
The data that has been analyzed is forwarded to the end-user.
How the IoT is Improving Manufacturing Business Operations
The Internet of Things (IoT) has numerous benefits for the manufacturing industry. We'll go over some of the significant benefits that the Internet of Things brings to the manufacturing business.
Energy Efficiency Solutions
Energy is a high cost in manufacturing. Unfortunately, the current industrial energy infrastructure can only track excessive energy consumption.
The utility bills include the factory's energy consumption records. But, unfortunately, nobody can break down energy consumption to the device level and find out the underperforming pieces. Some energy usage monitoring tools exist, but they only provide partial data, making system analysis difficult.
IoT can help by giving device-level energy data. The sensors will detect any underperforming devices in the network and alert you so you can take action. As a result, the technology can help you reduce energy waste and find other ways to save it.
Data is required to determine trends and quality of production at a manufacturing facility. It also helps manufacturers plan and anticipates changes. These forecasts can help with inventory management, employment, cost control, and other operational procedures. Thus, IoT technology makes it easier to foresee and optimize customer requirements.
The Internet of Things (IoT) uses sensors to gather data about assets' health and productivity. In addition, it uses advanced analytics to give actionable information. These are presented on an appealing dashboard connected to your smart device. This allows for predictive maintenance to be used in the manufacturing industry.
Superior Product Quality
Every manufacturer is determined to produce a high-quality product at a low cost. Therefore, a minor quality modification can have a significant influence on the manufacturing firm.
Customer happiness, waste reduction, sales, and profit can all benefit from high-quality products. But making high-quality products isn't easy.
The Internet of Things (IoT) can assist you in this endeavor. Poorly set, calibrated, and maintained equipment are some of the main reasons for low-quality products. Worst of all, many small things sometimes go ignored as the final product seems perfect. Quality tests show the product is fine, but your consumers start having problems after a couple of months.
Imagine the resources needed to identify and correct the problem. Sensors in an IoT network detect even minimal tweaks in setup and alert operators. The team might momentarily stop production to address the issue before the production cycle gets complete.
Rapid and Informed Decision-Making
The IoT can dramatically improve organizational decision-making. It unlocks vital data about network equipment performance and delivers it to the right person.
Managers and field operators can use this data to improve plant processes and overall production.
In addition to these significant benefits, IoT in manufacturing can help manufacturers improve their manufacturing operations and construct a unit that meets the vision of the smart factory of 2040. The future beyond IoT would be the icing on the cake for all of us, as technology has always amazed us.
Imagine the day when IoT and AI merge, and the virtual gadgets controlled by IoT are the next major milestone. Then, the ideal combination of robotics, AI, and VR may reduce the manufacturing plant size and cost while increasing the output to a level that is unimaginable and unattainable as of now.
Airbus Improved Production Efficiency with Its Factory of the Future Concept
It's a massive task for a commercial airliner to be assembled. The expense of making a mistake throughout making such a craft can be significant, as there are millions of parts and thousands of assembly phases. Airbus has established a digital manufacturing effort called Factory of the Future to optimize operations and increase production capacity. The company has installed sensors on factory floor tools and machinery and supplied workers with wearable technologies, such as industrial smart glasses, to reduce errors and improve workplace safety. The wearable allowed for a 500% increase in efficiency while eliminating nearly all mistakes in one process named cabin seat marking.
While the benefits of IoT devices have long been a topic of discussion among technology enthusiasts, the incorporation of IoT in manufacturing is creating a new buzz in the industry. The benefits of IoT in manufacturing, such as remote analysis of operations, processes, and products, are assisting manufacturers in establishing a more productive manufacturing unit. As a result of these benefits, IoT use in manufacturing is accelerating. Recognize the IoT's potential and take a step toward incorporating it into your manufacturing operation in 2022.
What is the Industrial Internet of Things (IIoT)?
IIoT stands for Industrial Internet of Things. It uses data to improve industrial efficiency. To enhance industrial performance, it uses embedded sensors, cloud data, and connected devices.
Why is the IoT changing manufacturing?
Real-time monitoring of machines and accurate reporting for better decisions are possible through IoT. This improves business strategies and project control. Thus, the Internet of Things has a significant impact on the profitability of any manufacturing company.
How does the IoT transform the way we do business?
We can use data collected by IoT devices to improve efficiency and help organizations make better decisions. They tell organizations the truth, not what they hope or believe.
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"text": "Real-time monitoring of machines and accurate reporting for better decisions are possible through IoT. This improves business strategies and project control. Thus, the Internet of Things has a significant impact on the profitability of any manufacturing company."
"name": "How does the IoT transform the way we do business?",
"text": "We can use data collected by IoT devices to improve efficiency and help organizations make better decisions. They tell organizations the truth, not what they hope or believe."
Article | December 7, 2021
Machine learning in manufacturing is becoming more widespread, with businesses like GE, Siemens, Intel, Bosch, NVIDIA, and Microsoft all investing heavily in machine learning-based ways to enhance manufacturing.
Machine learning is predicted to expand from $1 billion in 2016 to USD 9 billion by 2022at a compound annual growth rate (CAGR) of 44% throughout the forecast period, according to Markets & Markets.
The technology is being utilized to cut labor costs, achieve better transition times, and increase manufacturing speed.
“I advocate business leaders get to know more about what AI can do and then leverage AI in proofs of concept.”
– Michael Walton, Director and Industry Executive, Microsoft speaking with Media 7
Machine learning can help enhance manufacturing processes at the industrial level. This can be achieved by assessing current manufacturing models and identifying flaws and pain factors. Businesses can rapidly address any difficulties to keep the manufacturing pipeline running smoothly.
Let us explore how machine learning is transforming manufacturing operations.
How Machine Learning Is Transforming Manufacturing Operations
“The greatest benefit of machine learning may ultimately be not what the machines learn but what we learn by teaching them.”
- Pedro Domingos
Machine learning in manufacturing is revolutionizing manufacturing operations and making them more advanced and result-oriented, so let's have a look at how this is unfolding.
Allows for Predictive Maintenance
Machine learning provides predictive maintenance by forecasting equipment breakdowns and eliminating wasteful downtime. Manufacturers spend far too much time correcting problems instead of planning upkeep. In addition to enhancing asset dependability and product quality, machine learning systems can forecast equipment breakdown with 92% accuracy. Machine learning and predictive analytics increased overall equipment efficiency from 65% to 85%.
Increases Product Inspection and Quality Control
Machine learning is also utilized for product inspection. Automated inspection and supervision using ML-based computer vision algorithms can discriminate between excellent and bad products. These algorithms simply need excellent samples to train; therefore a fault library is not required. However, an algorithm that compares samples to the most common errors can be built. Machine learning reduces visual quality control costs in manufacturing. Forbe's says AI-powered quality testing can boost detection rates by up to 80%.
Logistics-related Tasks Are Automated
To run a production line, industrial companies need considerable logistics skills. The use of machine learning-based solutions can improve logistics efficiency and save expenses. Manual, time-consuming operations like logistics and production-related documentation cost the average US business $171,340 annually. It saves thousands of manual working hours every year to automate these everyday procedures. Using Deep Mind AI, Google was able to lower its data center cooling bill by 40%.
Creates More Business Opportunities
Machine learning is frequently used in the production process. Substantial data analysis is required to create new items or improve existing products. Collection and analysis of huge amounts of product data can help find hidden defects and new business opportunities. This can help improve existing product designs and provide new revenue streams for the company. With machine learning, companies can reduce product development risks by making smarter decisions with better insights.
Protects Company’s Digital Assets
On-premise and cloud-based machine learning systems require networks, data, and technological platforms to function. Machine learning can help secure these systems and data by restricting access to vital digital platforms and information. Humans’ access sensitive data, choose applications, and connect to it using machine learning. This can help secure digital assets by immediately recognizing irregularities and taking appropriate action.
Harley Davidson's Sales Climbed by 40% Using Albert – The ML & AI-Powered Robot
Today, traditional marketing is harder to break through. It's easy to see why Albert (an AI-powered robot) would be a good fit for Harley Davidson NYC. Thanks to machine learning and artificial intelligence, robots are producing news stories, working in hotels, controlling traffic, and even running McDonald's.
Albert works well with social media and email marketing. It analyzed which customers are more likely to convert and modifies the personal creative copies on its own for the next process.
Harley-Davidson is the only company to employ Albert in its business. The company evaluated customer data to find prior consumers who made purchases and spent more time browsing the website than normal. Albert used this data to categorize customers and scale up test campaigns.
Using Albert, Harley-Davidson's sales climbed by 40% and leads increased 2,930%, with half coming from high-converting ‘lookalikes' detected by AI and machine learning.
The groundbreaking benefits of machine learning are the pillars of machine learning applications in manufacturing. Machine learning in manufacturing helps enhance productivity without compromising quality. According to Forbes, Amazon has automated warehouse logistics picking and packing using a machine learning system. With Kiva's help, Amazon's typical ‘click to ship' time dropped from 60-75 minutes to 15 minutes. So, industry leaders are seeing fantastic outcomes, and machine learning in manufacturing is the future.
How is machine learning used in manufacturing?
Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process.
Which two forms of machine learning are there?
Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data.
What is a machine learning model?
A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm.
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"text": "Machine learning is used in manufacturing to improve product quality and uncover new efficiencies. It unquestionably aids in the identification and removal of bottlenecks in the manufacturing process."
"name": "Which two forms of machine learning are there?",
"text": "Machine learning is divided into two forms: supervised and unsupervised. In supervised machine learning, a machine learning algorithm is trained using data that has been labeled. Unsupervised ML has the advantage of working with unlabeled data."
"name": "What is a machine learning model?",
"text": "A machine learning model is a file that can recognize patterns. In order to learn from a set of data, you must first train a model using an algorithm."
Article | May 20, 2021
The transformation of raw materials through mechanical, physical, or chemical processes into a new product is the definition of manufacturing in the U.S. These businesses include plants, mills, factories, and warehouses and they rely on power-driven equipment to produce their products.
Small businesses and home-based businesses are included in the scope of U.S. manufacturing - this includes sectors like tailor-made clothing, bakeries, candy stores, or toy/crafts creators. Additionally, companies that contract with the businesses in these industries are included in the sector of American manufacturing. It is worth noting: U.S. manufacturing does not include anything relating to housing or commercial construction.
Article | June 8, 2021
The last 12 months saw a considerable increase in e-commerce, driven by the global pandemic with many retail commentators believing this is an irreversible behavioural shift.
If correct, this will further underline the importance of the packaging journey, since the likelihood of consumers primarily interacting with brands through deliveries increases, potentially becoming the standard purchasing process.
Robert Lockyer, CEO and founder of Delta Global, a sustainable packaging solutions provider for luxury fashion brands, considers the impact of the packaging journey amid these new retail dynamics.
How much impact could a single packaging box have when it comes to consumer engagement and marketing? This is a question that all retailers and brands should reconsider, given the tumultuous nature of the retail landscape.
If Deloitte’s recent report into the Danish consumer’s permanent shift to online shopping can be viewed as a microcosm of imminent global trends, then businesses must adapt packaging to incorporate the entire journey.
Last year, the fashion and luxury markets were forecast to decline by an astounding $450 - $600 billion. A market previously thought too-big-to fail is taking a huge financial hit. The long-term effects of Covid-19 on retail as whole are unclear. But packaging has become too integral to the sales journey to ignore.
Packaging, therefore, can work as a core marketing tool, beyond the basics of the primary recipients’ experience. In this article, I’ll highlight how best to consider and exploit the entire packaging journey, ensuring that packaging realises its complete potential.
Manufacturing that avoids the use of sustainable materials is becoming impossible to justify, from both an economic and environmental perspective.
In fact, they are, practically speaking, one and the same. We know that a significant majority of consumers expect businesses to adopt a sustainable ethos – and are willing to pay more for it.
Therefore, the economic viability of sustainable packaging is fortified by consumer expectation. It is both a market and environmental inevitability.
Beginning a packaging journey should start with the selection of sustainable, recyclable, reusable materials. This is a stage in the packaging voyage that is easily achieved, with manufacturers increasingly switching to eco-friendly methods.
At Delta Global, sustainability is incorporated into every packaging product we produce. We’ve seen demands for sustainable services increase, but more can be done to mark this initial step as a marketing footprint rather than a footnote.
There are some great recent examples of how to do this right, from Burberry’s elegant reinvention of the ordinary cardboard box which will go even further to remove all plastic from its packaging by 2025, through to Gucci’s opulent Victorian wallpaper design packaging that is fully recyclable.
And so, step one - the initial consumer experience and expectation, is met through sustainable materials, and when done correctly, is easily exceeded.
Once the correct materials are selected, brands should start think about design beyond creating an attractive, secure container.
The goal here is to inspire the consumer to utilise the packaging in a way that positions them as a virtual brand ambassador.
Consider the rise of the unboxing video. YouTube reported a 57% increase in product unboxing videos in one year, with these videos having in excess of a billion yearly views.
Together with Instagram, where 58% of its estimated 1.074 billion users log-in to follow trends and styles, visually oriented content platforms provide an unmissable marketing opportunity.
It is important to underline that this type of viral marketing need not rely on paid celebrities. In fact, I am advocating for a completely organic approach where possible.
From a brand’s perspective, recipients of well-executed sustainable packaging must progress this initial positive experience by innovative and thoughtful design.
That way, authentically persuasive content will occur naturally. And it's this type of spontaneous, highly engaged micro-influencing that rewards brands that have fully considered the packaging journey.
To achieve this requires innovation. You might consider implementing technology and connected packaging, where apps and QR codes are integrated into the packing itself.
A favourite example of this is Loot Crates brilliantly innovative unboxing experience which connects, via an app, to new products and exclusive items.
While technological innovation provides a novelty that encourages unboxing videos, simpler approaches can equally inspire the consumer through personal touches like VIVE Wellness’ individually packaged and addressed turquoise vitamin tubes, or M.M Lafleur’s curated and detail-oriented ‘bento box’ styling solution.
These packaging creations work because they provide memorable experiences, centred on discovery, individuality and, ultimately, shareability.
Packaging after purchase
The third and most under-utilised part of the packaging journey is post-unboxing usage. Brands should ask themselves who the packaging is seen by – and does the packaging have the function to be seen and used by others?
At this point in the packaging journey, we are hoping to harvest as many positive impressions as possible. This can include, for example, delivery drivers, photographers and stylists.
The concept is not abstract. Reflect on the reaction felt by a fashion photographer the first time they received, from an enthused stylist, a Gucci item in its new opulent emerald green packaging. Or the response of a delivery driver when seeing, in amongst the more mundane boxes, MatchesFashion’s reimagining of the a cardboard parcel.
Is it likely that the impression made by those stand-out packaging designs will be talked about, purred over, recommended and revered? The answer is obviously a resounding yes. When this happens online, we call it influencer marketing.
And we should not dismiss this type of marketing when it happens offline. Word of mouth matters. In an increasingly online consumer market where the first – and perhaps only – physical interaction between brand/consumer is through the packaging experience, it will matter more.
To our imaginary trio of driver, photographer and stylist, let’s introduce the general consumer. How likely it is that any of those would throw such packaging away?
They are so wonderfully designed that reusability and repurposing are inevitable. When a packaging compels secondary usage - deployed around homes and offices as containers, storage or decoration – you are creating an item that symbolises what marketers spending entire budgets pursuing: brand as central to an aspirational lifestyle.
If the retail market is moving irrevocably online, the offline journey of packaging – from manufacturer, deliverer, consumer and user – can ease that transition and become a perpetual marketing tool. This way, brands and retailers can enjoy the journey and the destination.