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Advantages of Cognitive Manufacturing | Disadvantages of Cognitive Manufacturing

This page covers advantages and disadvantages of Cognitive Manufacturing and its basics. It mentions benefits or advantages of Cognitive Manufacturing and drawbacks or disadvantages of Cognitive Manufacturing.

Recent advances in big data, AI, IoT and Analytics has given boost to manufacturing processes. IoT has been widely used across industries which results into increased data volume. Hence it is not possible to process huge amount of data and its analysis using traditional computing techniques. To overcome this situation, cognitive manufacturing processes have been adopted.

What is Cognitive Manufacturing?

The system which uses cognitive computing, IIoT and advanced analytics to optimize manufacturing processes is known as cognitive manufacturing.

The infrastructure uses data across equipments and processes to derive actionable insight across entire value chain. The typical applications of cognitive manufacturing include compressors, boilers, furnaces and rotating equipments where failures are common.

cognitive manufacturing processes
Image Courtesy : IBM

One example of cognitive manufacturing is IBM Watson IoT as shown in the figure. It helps in transforming manufacturing processes in three ways which include intelligent asset & equipment, cognitive processes & operations and smarter resource & optimization.
Visit ibm.com for more information.

Benefits or advantages of Cognitive Manufacturing

Following are the benefits or advantages of Cognitive Manufacturing:
➨It increases efficiency of manufacturing processes. Hence flexibility, reliability, yield and availability of manufacturing operations are improved.
➨It provides fast assembly line setup and offers execution monitoring of the manufacturing processes.
➨It offers higher accuracy (~95%) and hence it provides business continuity.This saves considerable amount of maintenance costs.
➨It offers greater safety as it reduces chances of major accidents related to safety.
➨It reduces total calibration and testing time of the critical equipments used.
➨It reduces unplanned downtime and defect rate to greater extent.

Drawbacks or disadvantages of Cognitive Manufacturing

Following are the drawbacks or disadvantages of Cognitive Manufacturing:
➨Such systems are vulnerable due to breaches as it handles large amount of data.
➨Such systems require longer development efforts due to complexity of technologies involved.
➨Such systems require skilled software and hardware engineers to develop which increases cost to the company.
➨Meticulous training is required to be given for users of this system.

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IrDA    HomeRF    Bluetooth    Radar    RF    Wireless    Internet    Mobile Phone    IoT    Solar Energy    Fiber Optic    Satellite    GPS    RFID    AM and FM    LTE   

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