The Internet of Things has the potential to transform the manufacturing industry worldwide. With increased competition within the global manufacturing community, today’s manufacturers are looking for ways to cut costs and increase production simultaneously. For years, manufacturers relied on on-site employees doing manual checks to ensure that machinery was working properly. However, there are many warning signs that a machine will malfunction that are extremely difficult for the human eye to detect. With the integration of sensors on new machine components, companies are now able to monitor machinery and prevent unnecessary downtime.
In this presentation, different ways of using sensors to improve efficiencies and reduce downtime will be explained. These ways include
– Improved Efficiencies
o Sensors can track how workers and products are moving through the factory. Companies can improve workflows based on this information.
o Sensors can be attached to products and the information collected can be analyzed to determine where there are inefficiencies and where the processes are being run at the most efficient levels possible. The inefficient areas can then be corrected in real-time to eliminate the inefficiencies.
o Sensors can alert employees on the other side of the world who are monitoring the facility if there is a problem and the problem can be fixed remotely.
– Inventory management
o Sensors can detect when certain components are running low and proactively tell people when to refill or re-order. They can also tell employees when to call a waste removal system or for employees to remove items that are near their capacity in a storage location.
– Quality control
o Sensors can determine how many defective items are removed in real-time off the production line. If it’s over a certain number, supervisors could be alerted and corrections made.
o Combine real-time information from sensors with business intelligence derived from past events and transmit it to the workers in real-time. By alerting employees on the floor or remotely connected to the machines of incidents or defective materials in real-time, employees can react quickly to a situation and prevent an incident from occurring.
Founder, CEO & Chief Data Scientist of Entrigna, Inc.
Murali Kashaboina is the founder, CEO & Chief Data Scientist of Entrigna, Inc. Murali brings over 17 years of IT experience in the areas of Travel & Transportation, E-commerce, Real-time Predictive Architecture, Real-time Business Intelligence, Event-Driven Services Architecture, Enterprise Architecture & Strategy, Applications Development & Delivery, IT Strategy and Agile Software Development Methodologies. Prior to founding Entrigna, Murali served as the Managing Director of Enterprise Architecture at United Airlines and played a key role in the merger of United & Continental Airlines enterprise systems. Murali also served as the Lead Architect for United.com and led the architecture & delivery of United’s online booking engine, which was one of the largest initiatives at United Airlines. His deep understanding of the intricacies involved in building real software for real world business problems and seamlessly enabling them for real business consumption, led him to found Entrigna. Murali holds a Masters’ degree in Mechanical Engineering from University of Dayton, Ohio
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