The manufacturing sector is second largest in the world after China however, in smart manufacturing initiatives, US dominates the world. US is a globally renowned developed country, home to number of tech giants that have the ability to innovate and especially around emerging technologies of Industry 4.0 which is further expected to drive smart factory/ manufacturing in the country.
- Definition / Scope
- Market Overview
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- Industry Challenges
- Technology Trends
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Definition / Scope
Smart Manufacturing is a set of advance sensing, instrumentation, monitoring, controls and process optimization technologies and practices which together merge information and communication technologies along with manufacturing environment for management of energy, productivity and costs across factories and companies.
These smart manufacturing tools and techniques in turn are able to meet the demands and conditions in factory, in supply chain network and in consumer needs.
The core of the Smart manufacturing includes following:
- Technologies and practices
- Integration of manufacturing technologies with wireless communication technologies and IIoT (Industrial Internet of Things)
- Real-time adaptation
The SM technology itself can further be categorized into several state-of-art technologies that include:
- Industrial Internet of things (IIoT): It enables the interconnection of devices machines and equipments over communication network. The IIoT technology also allows machines to be operated distantly over network.
- Cloud-computing: The computing system is based on internet where the data that used to be previously stored in computer hardware is floated in form of cloud. Thus, from there data is provided to pool of users. In manufacturing, cloud computing has number of application in product development which helps in bringing production efficiency by leveraging cloud data.
- Additive Manufacturing (AM): This technology is increasing the number of applications across the manufacturing sector. AM is used across prototyping, altering production lines and bringing high level of flexibility into production processes
- Machine Intelligence: These technologies are being highly progressed and the employing method of the technology particularly relies on algorithms based on neural networks. These technologies can simplify the troubleshooting process of machines and reduce costs for the manufacturers. For instance, the ability of intelligent robots to self-learn the optimal process and solve problems rather than needing a technician to teach the process can lead to improvements in machine processes.