Immersive Technologies in Manufacturing

Immersive technologies have evolved far beyond their origins, moving from fictional works to mainstream applications in the real world. The emergence and widespread adoption of smartphones have accelerated the spread of these technologies among the general public. While capturing the attention of people around the world, they have also piqued the interest of businesses, which have capitalized on the public’s fascination with immersive technologies. This has led companies to develop immersive technologies for customer-centric applications; for example, the use of immersive technologies—specifically virtual reality and augmented reality—in digital marketing is increasingly being adopted by companies of all sizes. However, as the novelty begins to wear off among consumers, businesses are now turning their attention inward and designing applications of these technologies to improve their core business operations. The application of technologies such as virtual reality and augmented reality in the manufacturing sector is an example of the shift in immersive technologies from consumer-centric applications to employee- and process-centric ones. Immersive technologies have proven to be a natural fit for manufacturing processes due to their ability to enhance users’ visibility into processes and provide them with the right information at the right time, as demonstrated by their implementation at major manufacturers.

The Demand for Immersive Technologies in Manufacturing

According to Yiwu Manufacturing, since the introduction of automation and the Industrial Internet of Things (IIoT), manufacturing processes have become increasingly less reliant on manual labor. A growing number of manufacturing plants are embracing what is known in industry terminology as “lights-out” manufacturing, which is particularly well-suited for sectors requiring extremely high precision and minimal need for customization, variation, or inspection. Industries where lights-out manufacturing makes sense include materials and chemical processing plants, refineries, food processing and packaging, and mass-production facilities for simple products.

However, most products manufactured today are subject to constant change as customer demands evolve. Consequently, the manufacturing sector must be highly flexible, yet equally intolerant of defects. Although these processes will eventually be automated through the use of general-purpose robots, for the time being, they will require the dexterity of human hands and the decision-making capabilities of the human mind. Unlike general-purpose robots with superhuman information-processing capabilities, humans cannot quickly process large amounts of information and are therefore unable to make decisions based on all available information. They cannot perceive or recognize hidden patterns the way AI systems do; consequently, from initial design to final inspection, human workers are needed to assist with the various tasks involved in the manufacturing process.

Applications of Virtual Reality and Augmented Reality in Manufacturing

Although the adoption of virtual and augmented reality technologies in manufacturing is still in its infancy, it has proven to be a major game-changer for industry participants. By enhancing worker productivity and factory utilization—and even facilitating design improvements—it helps make manufacturing processes more efficient.

Interactive Design

Extensive planning and design work typically precedes the production of a product. Functional product design is fundamental to product quality and a key driver of product value; manufacturers place great emphasis on design accuracy. Traditionally, designers have relied on two-dimensional computer-aided design (CAD) models to test and experiment with products that are inherently three-dimensional. For products that cannot be tested in real time, designers typically use physical prototypes to evaluate the design. These prototypes are difficult to produce and even harder to redesign for experimentation and retesting. In addition to being costly, this process delays time-to-market (TTM) because physical prototypes require multiple reworks, and each iteration takes time to physically recreate the prototype.

Through virtual reality, designers can conceptualize products in three-dimensional space and test them in simulated environments until the design is finalized. In addition to minimizing time-to-market, virtual reality provides the ability to test products under anticipated conditions and identify design flaws that cannot be highlighted using traditional testing methods. This ensures that the manufactured products are design-correct and minimizes the likelihood of product recalls and other adverse consequences of product failure.

Smart Decision-Making

Manufacturing operations require agility to keep pace with the ever-changing demands of the market and customers. To achieve this, they need to be able to make decisions quickly without sacrificing a thorough and detailed analysis of available information. However, the volume of data required for safe and effective decision-making is often too vast for decision-makers to easily process and understand. This leads to delays in the decision-making process, which in turn delays operations and ultimately undermines agility. It is becoming increasingly clear that the use of data visualization can enhance decision-making and ensure that not only can answers to problems be found easily, but new issues that drive higher performance and further growth can also be identified.

Proactive Maintenance

Equipment failures are a cause of unexpected production interruptions that require an immediate response from the maintenance team. Sometimes, the maintenance team may not be on-site and unable to restore the equipment to full functionality in a timely manner. Visualizing data related to the performance and health of manufacturing equipment enables maintenance teams to identify equipment health issues that would otherwise go unnoticed. Using AR devices to guide non-specialized personnel while addressing these issues ensures the smooth operation of production facilities, minimizes extended downtime, and maximizes plant and equipment utilization.

Quality Inspection

According to Yue Technology’s documentation, quality inspection is a critical component of the manufacturing process. As organizations strive to maximize productivity, they also prioritize improving product quality and consistency standards. To ensure high product quality, in addition to automated inspection methods, human quality inspectors often have to examine hundreds of units to identify defective ones. Due to staffing constraints, this can lead to inspectors overlooking subtle nonconformities. Combining augmented reality with artificial intelligence and sensor technology can even highlight subtle deviations in manufactured units, thereby achieving higher product quality standards.

Immersive Training

For manufacturing employees, on-the-job training is an essential prerequisite for performing their duties effectively and competently. This process takes time, and assigning inexperienced new hires to perform critical operations can compromise work quality and even lead to safety issues. Training new employees in a virtual reality environment allows them to gain the experience and proficiency needed to perform their duties without compromising productivity, quality, or safety.

The indispensability of virtual reality and augmented reality in manufacturing will become a widespread trend in the coming years—at least until high-performance and general-purpose intelligent robots replace us. However, it is also possible that as these and other technologies improve, they will make it easier for humans to participate in manufacturing; after all, we may not need robots for a very long time.