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The Role of Generative AI in Manufacturing Industry 6.0 


Revolutionising Manufacturing with Generative AI

Generative AI solution offerings for transforming the Manufacturing Industry by accelerating the design and development of parts and components in production for enabling Adaptive Manufacturing & Intelligent Data Analysis and Direct Automation for 24/7 Production.

  • XenonStack Safer Operational Environment Image

    Safer Operational Environment

  • XenonStack Automation of Ordinary Tasks Image

    Automation of ordinary tasks leading to focus on innovation more

  • XenonStack Condensed Operating Costs Image

    Condensed Operating Costs

  • XenonStack Improved Reliability Image

    Improved reliability of Power Grids

  • XenonStack Optimised Control Centers Image

    Optimised Control Centers for Switch Towers

  • XenonStack Automatic Selection Image

    Automatic Selection of requirements using reliable operations

Generative AI's Role for Smart and Digital Manufacturing

AI Enabled Smart Manufacturing and Technology Solutions

Predictive Maintenance and IoT Analytics

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It involves constant monitoring of the performance data and generates Predictive Analytics. Interpretation of data from hundreds of sensors performed. Understand the failure conditions, track the anomalies, and manage the production based on Real-Time demand.

Automated Quality Control

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With Computer Vision algorithms, defects are detected immediately and further identify the root cause of the failure. By enabling better monitoring and quality control, the productivity of a single machine increased. Hence, System Monitoring and Planning allows the system to produce more products on the same number of devices.

Demand-Driven Production

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Real-Time demand visibility is achieved by connecting the consumer Apps and IoT with the industrial IoT.Solutions for Combining all the processes such as Order Management, Procurement, Transportation Sourcing, and Inventory Management in a single, convenient platform.

Generative AI for Smart Manufacturing Applications

Accelerate the Adoption AI-powered Intelligent operations

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Behavioural driven Predictive Maintenance

Predictive Maintenance optimizes employee productivity and planned downtime, involves high process transparency, increases product availability, fine-tuning production plans, and customization of component-wise maintenance schedules.

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Machine Automation and Optimisation

It produces self-optimization and maintenance signals, determining Overall Equipment Effectiveness(OEE), Condition Monitoring, Production Performance Management, Optimised Semiconductor Manufacturing, Supply Chain Management, Asset Management, and Inventory Management.

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Automatic Product Defect Detection

It involves an automatic determination of drivers in downtime and poor quality. It identifies production defects in Real-Time, Object Character Recognition, Object Orientation, Deformity Detection, Automatic Inspection System.

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Data-Driven Research and Development

It involves understanding the customer needs and usage of products and further finds innovative trends in the market. It involves Descriptive Analytics and Diagnostic Analytics, various types of Bottleneck Detection involving discrete, purely data-driven, and Real-Time detection.

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Productization of Data

It turns the utilization data into new customer service, production control, and Quality Control. It involves a continuous flow manufacturing process, custom manufacturing, and fixed manufacturing.

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Energy Optimisation

It involves accessing a machine or an entire environment to optimize settings and run-time for reducing energy consumption.

Explore Related Insights


Data Science

Edge AI in Manufacturing Industry Benefits and Use Cases

Edge AI is a type of ML architecture in which the AI algorithms process data at the network's edge (the location where data is generated, i.e., locally) rather than transferring it to the cloud. Because of the nature of edge architecture, it is ideal for eliminating inefficiencies in current systems. Let's look at some of the most important benefits of Edge AI in general.

24 March 2023

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