One of the industries which is being revolutionized by digital innovations is the Manufacturing Industry. Industry 4.0 is setting up a stage for rapid change with IoT, machine learning, cloud computing, artificial intelligence and cognitive computing all coming together to change how things are produced. Digital innovations and IIoT have enabled smart manufacturing, and provide full visibility of assets, processes, products and all other resources. This in turn, can provide an opportunity to optimize the productivity, streamline the operations and increase productivity. Furthermore, industry 4.0 is hugely influencing how new products are designed and developed. 3D printing is changing how products are validated, and technology is revolutionizing supply chains, logistics, sales and all other major functions of manufacturing industry, thereby increasing the efficiency, and interconnectivity.
In fact, the biggest benefit of digital innovation is the new ability to integrate individual customer preferences to product manufacturing. With this, manufacturing of products in the future can be customized to individual preferences, and developing an efficient ecosystem to enable this could cause a substantial change in the business model.
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- Product Design and Development
- Smart Manufacturing
- Predictive Maintenance
- Cyber Security
- Cloud Computing
Product Design and Development
With developments in Embedded Technology and IIOT, the philosophy of product design and development is changing. The digital world is making the products to upgrade too rapidly. This is driving huge demand for brilliant engineers, who have an innovative mindset, product knowledge, tool expertise and the ability to integrate these.
Digital and IoT can make manufacturing smarter and highly efficient. It started with retrofitting sensors to existing equipment and improving efficiency. Implementation of the Industrial Internet of Things (IIoT) can help manufacturers optimize efficiency throughout labor, material usage, logistics, and all other operations. These smart devices can ensure maintenance of proper safety protocols and help workers adhere to instructions. Also, aggregated performance data and real-time analytics drawn from IIoT sensors can offer an accurate forecast of maintenance issues before they occur.
The ability to predict when equipment or assets need maintenance allows us to minimize downtime and optimize equipment life. By connecting the devices and monitoring the data the devices produce, we can identify patterns that lead to potential problems or failures. As more automation is used in manufacturing, the need for speed of responses required in dealing with maintenance issues is becoming higher and critical. Advances in the Internet of Things (IoT), Machine Learning, Cloud Computing and Data Analytics are enabling predictive maintenance to become effective.
The manufacturing sector is one of the top victims of infrastructure cybercrime. As manufacturers migrate from traditional factories to IoT-connected, IP-based systems, new vulnerabilities emerge. Expansion of the cyber attack surface is inherent while connecting processes and elements of smart manufacturing. Each point of connection becomes an added risk of cybercrime that can lead to interference, remote access, theft of intellectual property, and data loss or alteration.
Cloud computing, with highly scalable computing resources as a service over the internet, virtually is transforming modern manufacturing. Whether it is how you design, manufacture, integrate into supply chains, or how your customers use the products, the cloud computing is helping manufacturers to innovate, reduce costs, and increase the agility. Investing in a cloud platform is not just a technology decision, but strategic decision; one that gives flexibility, speed, and differentiation. The need and ability for more customization, speed, scale and integration is further driving the demand for cloud computing in manufacturing industry.