Smart manufacturing processes provide greater access to data across an entire supply chain network. Real-time data outlines what the manufacturer needs and when, which makes things more efficient for suppliers that can easily make adjustments to orders.
When productivity is improved, it saves money, which can then be invested in product development.Once analyzed, smart manufacturing data shows where customer needs are and managers can find opportunities for new products or re-imagined products of a higher quality.
Smart Factory Logistics Systems are engineered to suit different manufacturing environments and production setups. This ensures maximum operation flexibility.
Infinite Uptime’s IDE (Industrial Data Enabler) calculates mechanical data through edge computing to deliver predictive maintenance.
Using advance embedded sensors technology, Smart Factory Logistics Systems automatically recognize manufacturing demand fluctuation. This will allow supply chain to respond with better agility.
Artificial intelligence is based on the principle that human intelligence can be defined in a way that a machine caneasily mimic it and execute tasks,from the most simple to those that are even more complex.The goals of artificialintelligence include learning,reasoning, and perception.
Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learnand improve from experience without being explicitly programmed.Machine learning focuses on the development of computer programsthat can access data and use it learn for themselves.
Poka-yoke is a Japanese term that meansmistake-proofing or inadvertent error prevention.A poka-yoke is any mechanism in any process that helpsan equipment operator avoid mistakes.Its purpose is to eliminate product defects by preventing,correcting, or drawing attention to human errors as they occur.