CPG IoT OI solution to track metrics and improve decision-making in production and distribution
Process-driven, high-volume manufacturers face a significant challenge when it comes to collecting data in a timely fashion and combining it to produce insightful business intelligence dashboards that will help them gain a competitive advantage.
A single production line could generate terabytes of data, yet most data remains unanalyzed. CPG manufacturers can leverage emerging technologies to efficiently extract the data and use the Spark IoT for Operational Intelligence solution to provide the ability to improve decision-making.
Spark IoT for CPG operational intelligence can provide reports on KPIs such as overall equipment effectiveness, total effective equipment performance, production reliability, and more. The solution depends on data availability; however, our other CPG IoT solutions can provide an effective way of collecting the right data to allow manufacturers to drive innovation to gain a competitive advantage.
Availability
Canada, China, South Korea, Australia, Singapore, Europe - All Countries, United States
Benefits
Data aggregation
Bring multiple sources of data together to produce a rich information management tool
Improved decision-making
Provide instant access to vital information that can help improve decision-making
Track pre-defined KPI's
Access to a concise dashboard and reports that track pre-defined KPI's
Identify trends
Ability to perform performance analysis and spot trends in data
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How it works
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Key activities
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Customer contribution
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About this consultant
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Architecture diagram
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How it works
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DXC uses their own consulting services to help customers determine how much value they can get from introducing IoT technologies into their factories. DXC then provides a discovery and design service that develops a tailored design and implementation plan for their specific factory and production lines.
The technical solution ingests relevant data using a combination of Amazon S3 and AWS Glue. The data is loaded into AWS Managed Grafana and Amazon QuickSight via Amazon Athena and Amazon Redshift. The data is presented in the form of customizable, user-friendly dashboards on AWS Managed Grafana, and Amazon QuickSight for real-time and historical reporting, respectively.
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Key activities
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Value proposition project
Using industry experts, DXC assesses the value of computer vision for quality control in a customer factory
Discovery and design projectA survey on the production line and quality process to produce a detailed solution design and deployment plan
Pilot deploymentImplementation of the solution onto the production line and training of the model
Pilot trainingTraining for factory users of the solution to ensure value from the pilot is achieved
Pilot evaluation and supportPilot technical solution and usability support
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Customer contribution
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Value proposition project
DXC requires access to the factory and time with production management
Discovery and design project
DXC requires access to production lines, machines and time with operators, maintenance, and machine suppliers
Pilot deployment
DXC requires access to production lines, machine area, and time with maintenance team
Pilot training
DXC requires access to production lines, machine areas, operators, and production manager
Pilot evaluation and support
DXC requires access to the solution edge systems deployed in the factory and feedback from users and managers
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About this consultant
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DXC focuses on true business outcomes underpinned by fully managed mission critical grade services. They have a complete smart factory portfolio with a best-of-breed partner ecosystem that ensures their manufacturing customers get the most from next generation technologies. DXC has a large existing client-base in CPG manufacturing, and they provide smart factory and mission critical services to many of the world's largest CPG manufacturers. DXC is an AWS solution provider and premier services partner. DXC's services cover strategy, design, migration, and managed services for cloud, applications, and analytics.
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Architecture diagram
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