All in recurring process which is repeated and

                 All thereal-time data should be transparent for decision making. When the process and dataare transparent, the faults can be found easily and rectified. It is possiblefor the system to provide with notifications and alerts. It also helps thecustomers to track their products and monitor the process. Proactive                Precautionsshould be made before an issue or failure occur. Due to the transparency of theprocess, decisions can be made before the fault.

It also includes monitoringthe restocking, inventory, quality issues, maintenance and safety. The historicdata’s can also be used as benchmark for maintenance and prevent breakdown. Thishelps in reducing the down time of machines. Agile                Due toflexibility of the smart factory, scheduling of the operations and materialrequirements are planned automatically and executed. Then the data are crosschecked with data of real time, and the system updates automatically. Advancedsmart factories should be capable to plan the requirements according to thechange of product. The best possible way should be selected by the system, sothat the setup time, scheduling time and changeover time can be optimized. Process within asmart factory Manufacturing Operations Additive manufacturing helps in producing rapid prototype and low volume products.

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  Advanced scheduling and planning reduces waste and cycle time using real time inventory and production data.   Autonomous robots can be used in recurring process which is repeated and again with high accuracy.   Digital twin can be used to integrate the predictive analysis by digitalization of operation. Warehouse operations Augmented reality assists humans in picking and positioning the articles.   Autonomous robots do all warehouse operations with the help of artificial intelligence. Inventory tracking Sensors can be used to know the real-time position of the raw material, their storage in warehouse, their stock, current work status and tracking of finished products.   Analytics to reduce the inventory, to monitor them and automatically order them when there is demand.


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