| |NOVEMBER 20229Advantages of Robotic Process Automation in the manufacturing industry comprise up to forty per cent deduction in operational cost, optimized employee performance & significantly lower downtime as well as increased quality and increased control over processesimplementation. Advantages of Robotic Process Automation in the manufacturing industry comprise up to forty per cent deduction in operational cost, optimized employee performance & significantly lower downtime as well as increased quality and increased control over processes.DIGITAL TWIN IN SMART MANUFACTURINGAn initial area of focus for implementation of the digital twin has been asset lifecycle management. While maintaining assets in the industry has not only been a time-consuming task conventionally but also expensive. However, it is critical to equipment as well as system uptime. Currently, the maintenance technicians can leverage technologies that include Augmented Reality which lets them for accessing virtual engineering models & overlay these over the physical equipment on which they are conducting maintenance by leveraging using specialized Augmented Reality goggles/glasses. This facilitates them to optimize the most accurate as well as up-to-date engineering, making sure that the right maintenance & performance specifications are conducted in an efficient manner. These maintenance methods that are depended on merging virtual and physical environments must be used to factory production systems, machines and work cells as well.Furthermore, products, machines, production systems as well as work cells can be virtually simulated for testing & validating physical systems before assembly & installation. Also, the virtual commissioning of production automation ­ is combining with the highly expansive scope of the digital twin. INTERNET OF THINGSMost of the people think that AI is a technology that is a game changer on its own. However, AI & ML technologies depend majorly on data and one of the main reasons why AI has become so important in manufacturing environments in the past decade is owing to the advances in IoT. To be more specific, the proliferation of sensors in the factories has enabled in powering Artificial Intelligence applications such as automated power management, predictive maintenance, as well as computer vision-powered quality assurance.Both the opportunities & the challenges which are presented by IIoT for industries that include oil & gas, manufacturing, energy & construction are several and are varied. Prior to adopting Internet of Things, it's imperative that organizations understand the opportunities that are underlying and major challenges which exist. Let us look at how connected machines build links in the digital value chain. By using connectivity the performance of machines can be optimized via its complete lifecycle with over-the-air firmware & this improves the efficiency & decreases costs for the manufacturer. Two-way data communication also lets the machine manufacturer to collect data for Research & Development. This data can be used for identifying advancing trends related to the user behavior, for refining current services & eventually come up with new ones.When machine service tasks could be streamlined with a smart product & if any problem occurs, the machine can send alarm/signals to the operator as well as service providers. The manufacturer can strengthen their bonds with their dealer as well as service ecosystem with a connected offering and this makes the manufacturer highly appealing to work with, while rendering a highly consistent customer experience.
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