Optimising production processes by forecasting demand and production requirements accurately can be achieved, allowing manufacturers to adjust production timelines without resources going to waste. Predictive frameworks can also help in lifecycle assessment, right from raw material extraction to disposal, helping in assessing the environmental impact of a product. Resource recovery, waste management, and overall cost reduction are some of the ways predictive frameworks can facilitate sustainable manufacturing.
How immersive technologies can help in upskilling employees?
Immersive technologies, such as virtual reality (VR) and augmented reality (AR), are powerful tools for upskilling employees in various industries. These technologies create immersive, interactive, and realistic learning experiences that can enhance training, improve retention, and accelerate skills development. The "learning by doing" method is significant as employees are no longer passive participants with immersive technologies.
For one, VR simulations allow employees to practice and learn in a virtual environment replicating realistic, real-world scenarios. This is not restricted to operations training but also to soft skills, maintenance, and safety.
Moreover, such tools offer a safer learning environment as there's minimal risk, given one can control the environment. A PWC report claims that 42 per cent of companies are using immersive technologies to provide their employees with better onboarding and training experiences.
Since the emphasis is on application or "learning by doing," employees are no longer passive participants in online training sessions. Referring to Edgar Dale's Cone of Learning (also called the Cone of Experience), people remember 90 per cent of what they do versus only 10 per cent of what they read or 30 per cent of what they see.
What is the future of digital manufacturing?
The future of digital manufacturing is characterised by rapid advancements in technology and transformative changes in how products are designed, produced, and distributed. The next stage in digital manufacturing is to emphasise its significance in the business landscape.
However, it's essential to acknowledge that this evolution is technology-driven. There are several technologies like 5G, Blockchain, AI, Machine Learning, Industrial Metaverse, Computer Vision, Drones, etc which will play a vital role. For example, 5G is poised to offer low latency, particularly beneficial for controlling autonomous AGVs. This development is anticipated within the next five years.
