A decade or two ago, manufacturing was a very different world. It was a highly regulated, high-capital business, and products had to go through several intermediaries before they reached the consumer.

Today, the rapid changes in technology and public policy have removed many of the barriers to entry and progress. Computing costs are tumbling, connectivity is becoming ubiquitous, and new manufacturing techniques allow manufacturers to analyze huge amounts of data and make real-time decisions.

In this blog post, we’ll take a look at some of the key technology trends that are shaping the industry

Key Technology Trends for Manufacturing Companies

Technology is the new normal in manufacturing. A survey conducted by Gartner indicates that 83% of manufacturing companies in the world understand the implication of technology on their supply chain. IBM’s 2021 report states that 67% of manufacturing organizations have digital projects in place to address supply chain disruption caused by the Covid-19. 

From IoT to Smart manufacturing and automation, here are the key technologies shaping the manufacturing sector, and there is every reason for manufacturers to take them seriously.

 

Internet of Things (IoT)

The Internet of Things (IoT) is an exciting new technology that is changing manufacturing. It refers to a system where physical devices are connected with sensors to collect useful real-time data. By using these sensors to identify potential problems and alert facility managers, IoT can help cut maintenance costs, improve operational efficiency, and increase customer satisfaction.

According to a study conducted by the MPI group, about 31% of manufacturing processes are now working with the aid of IoT through connection with smart devices. During the production process, IoT devices can help track products throughout the supply chain. They can also collect customer sentiment data, which can help production managers improve product quality and reduce costs.

A rising number of manufacturers have developed a key interest in IoT systems since the Covid pandemic hit the world, and this is a good step. As the number of connected devices grows, the importance of the IoT in manufacturing will become more apparent.

Smart Manufacturing 

Smart manufacturing is a concept that refers to several enablers (technology solutions) that, when collectively implemented, transform the manufacturing processes. The enablers optimize the entire process with the intention of increasing efficiency, asset reliability, product quality, reducing costs and generating more profits. 

A key element of smart manufacturing is immediacy, coupled with real-time data collection, connectivity, and interoperability between software solutions. These systems must interact to provide a seamless experience to the user. Bezlio is the best example of a tool you can deploy to achieve smart manufacturing. With Bezlio, your teams are able to access and interact with your ERP systems on the go, regardless of where they are. Whether they are working on the factory floor, out in the field or always on the roads for the case of logistics, Bezlio makes it possible to work with your company’s ERPs as if they are in the office.

Smart manufacturing relies on real-time data and decisions. This allows for proactive maintenance and improvement of processes. This is why the term “smart factory” has been coined. The data collected is transformed into insights that are then communicated back to various systems within the manufacturing ecosystem. This helps to prevent unplanned downtime, avoid scrap and rework, and boost the human element of decision-making.

Artificial Intelligence (AI) and Machine Learning (ML)

Artificial Intelligence and Machine Learning are two emerging technologies that can be used in manufacturing, in the following ways.

Quality control & maintenance

AI is significant for quality control. It comes with visual features that aid in inspecting the quality of the products as they undergo the different manufacturing stages. AI and ML algorithms can also assist manufacturing companies in meeting maintenance schedules, identifying production glitches, and assessing the quality of products.

Product customization

In recent years, demand for owning customized and personalized products has surged. With this, manufacturers can use consumer data to produce personalized goods with AI. AI is also applicable for mass customization when customers have similar preferences. 

Suggesting solutions

Machine learning can be deployed to suggest appropriate actions for workers, identify consumer behaviors to minimize risks and predict shipping time. 

Advanced-Data Analytics

In manufacturing, Advanced-Data Analytics includes a broad range of analytical techniques that help identify patterns, predict events, and drive improvements. These methods utilize artificial intelligence, machine learning, and complex mathematical algorithms to correlate data and make more informed decisions.

The process of producing a product involves continuous streams of data created by people and machines. The goal of advanced-data analytics is to understand these data streams to better manage resources, improve quality and profitability.

Augmented Reality and Virtual Reality (AR and VR)

Augmented Reality (AR) is a digital manipulation of one’s real perception, which can be enhanced by adding digital elements. Virtual Reality (VR) is an advanced AR that is a step further. VR replaces the user’s reality with a digital one.

This is how manufacturers can take advantage of AR and VR

Training

One of the earliest applications of AR and VR in manufacturing is training. By using computer-generated scenarios in training, trainees can experience a more realistic and diverse training environment without putting themselves in harm’s way.

Repairs

During regular machine checks and repairs, for example, AR can project information required by workers directly to the part of interest. It means there is no need to consult experts, charts, or instructional materials. Any worker can carry out an operation when this kind of digitization is in place.

With AR and VR, manufacturers can create experiences of the performance of the factory floor, guide employees to assemble products and or repair machines.

Safety

Manufacturing companies can simulate the production environment to identify potential threats before they occur. This will improve employee safety, lower repair costs and downtime, and increase the bottom line. For example,  you can integrate VR into your production processes to help employees inspect production lines and ensure safety.

Security

Although technology is making manufacturing easier, it also creates more points of vulnerability for hackers. Hackers typically target manufacturers for three main reasons: industrial espionage, theft of intellectual property, and counterfeiting. For these reasons and with the introduction of the GDPR, manufacturers must ensure that they manage their data securely.

In the past, manufacturers were blissfully unaware of cyberattacks. Their systems were only connected within the organization’s network. As such, they were largely untouched. And since they were only remotely connected, they were largely protected from the threats they were facing.

But now Cybersecurity is an increasingly important topic for manufacturers. A comprehensive approach is necessary to address the risks. The cybersecurity solution should consider the whole lifecycle of a manufacturer’s production, from product development to maintenance and response architecture. Manufacturers must focus on the sector-level environment, regulatory issues, and the mindset of end users in implementing a comprehensive cybersecurity strategy.

Automation

Automation in manufacturing is simply the use of robotics. Robots are put in place to boost productivity, increase operational safety and enhance product quality.  AI-enabled robots and collaborative robots (cobots) can work together with humans on different tasks that are manually repetitive or pose a threat to employees. Robots can collect, share and analyze data.

Here is how automation is shaping the manufacturing sector

Automation simplifies complex processes

Automation has the potential to simplify complex manufacturing processes and increase productivity. For example, automation can replace certain forms of human, freeing them to focus on higher-level tasks, like customer service.

Automation enables round the clock working

Automated systems can work around the clock without any maintenance or replacement costs. Additionally, the latest technologies in robotics can lead to more precise and consistent motions, which reduces energy consumption and increases productivity.

Automation eliminates repetitive tasks

Automation can replace several employees and handle repetitive tasks. This can help improve the work environment, increase productivity, and enhance the quality of products.

While the benefits of automation are undeniable, the negative impacts cannot be overlooked. For example, robots can malfunction, resulting in higher repair costs, reduced product quality, and reduced sales.

To take full advantage of automation, you need to map your operations and determine which tasks can be automated. Once you have identified which tasks will benefit from automation, you can start implementing the technology.

Conclusion

To compete as a manufacturer, you must understand the forces shaping the evolution of this industry. You should consider the emerging platforms, tools, and services to leverage these changes. Bear in mind that niche markets are also being created, as consumers have increasing power over their spending.

The secret is to pay attention to these fast rising trends and use them to your advantage to avoid being overtaken by events. This is the right time to take action, depart from the traditional mindset and embrace new technologies.

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