AI Enabled Services for Connected Manufacturing
Solution offerings for Transforming Manufacturing Industry by introducing Artificial Intelligence and Machine Learning in Production for enabling Adaptive Manufacturing & Intelligent Data Analysis, and Direct Automation for 24/7 Production.
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Safer Operational Environment
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Automation of ordinary tasks leading to focus on innovation more
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Condensed Operating Costs
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Improved reliability of Power Grids
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Optimised Control Centers for Switch Towers
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Automatic Selection of requirements using reliable operations
Artificial Intelligence for Manufacturing Service Offerings
AI Enabled Smart Manufacturing and Technology Solutions
Predictive Maintenance and IoT Analytics
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
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
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.
Advanced Technology and Manufacturing solutions
Artificial Intelligence for Smart Manufacturing Applications
Accelerate the Adoption AI-powered Intelligent operations
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.
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.
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.
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.
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.
Energy Optimisation
It involves accessing a machine or an entire environment to optimize settings and run-time for reducing energy consumption.
Explore Related Insights
XenonStack is now Kubernetes Certified Service Provider
We are proud to announce that XenonStack is now a Kubernetes Certified Service Provider, Run by the Cloud Native Computing Foundation in collaboration with the Linux Foundation. We are also Silver Partner of the Linux Foundation and Cloud Native Computing Foundation. The CNCF encourages the development of cloud-based open-source applications by rendering technologies available to the open-source community and by promoting ecosystem development Kubernetes Certified Service Provider is a testimony to XenonStack’s dedication to contributing to Kubernetes’ growth.
21 April 2020
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Adapt to new evolving tech stack solutions to ensure informed business decisions.
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Leverage the True potential of AI-driven implementation to streamline the development of applications.
