Drive Down Manufacturing Costs with AWS

The next revolution in manufacturing is here. Learn how AWS can help CPG companies transform production operations to reduce the cost of goods sold and improve yield.

Overview

How Large CPG Companies Can Act with the Agility of a Start-Up

How CPG companies can use artificial intelligence and machine learning to react faster than the competition

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Reduce the cost of goods sold and improve yield

Transform your manufacturing operations with the most comprehensive and advanced set of cloud solutions available today, while taking advantage of the highest level of security. AWS allows you to focus your resources on optimizing production and improving operational efficiencies across the value chain—not on maintaining the IT infrastructure to make it happen.

Benefits

Manufacturing companies collect vast troves of process data making it difficult to identify insights because of common challenges, like disparate data sources, stranded data, and ownership issues. AWS helps you pull all of your data sources together via a data lake and apply intelligence for real-time, predictive analytics.
Manufacturers can use the same capabilities to improve both machinery uptime and production quality. Combine siloed machine data from assembly lines and plants into a common data lake and leverage ML and AI capabilities to provide real-time, predictive analytics on your production equipment.
AWS customers benefit from a core infrastructure designed to meet the requirements of the most security-sensitive industries like healthcare, financial services, and even government applications. Build on the most secure global infrastructure to mitigate risk without compromising time-to-market, scale, and business agility.

Create the smart factory

With AWS, CPG companies can break down data silos and create a digital twin manufacturing environment to capture production data in real time and use predictive analytics to optimize production planning, execution, and quality—all while driving down costs.

Featured solutions

GE Digital Proficy Smart Factory MES

Proficy Smart Factory (MES) is a suite of on-premise and cloud solutions. Transform your manufacturing business through insights and intelligence powered by data integration, the Industrial Internet of Things (IIoT), machine learning, and predictive analytics. By bringing together the digital world with the physical world of manufacturing, Proficy Smart Factory can deliver holistic performance management for today’s connected enterprise.

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DXC SPARK IoT for CPG - Operational Insights

CPG companies need to extract additional productivity, increase asset utilization, and improve quality, all while lowering costs. Companies are utilizing ML and AI capabilities to decrease unplanned disruption by 48%, improve average OEE by 16%, and increase manufacturing yield by capturing disparate plant data to predict production problems before they occur to optimize manufacturing processes.

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Tulip Manufacturing App Platform

Manufacturing Engineers can turn analog manufacturing workflows into instrumented, data collecting, digital processes that increase productivity, quality and reduce costs, without having to know how to code or do any complex system integration.

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Solutions by use case

Energy Optimization & Sustainability

Near real-time monitoring and analytics using AI and ML to quickly identify opportunities and track the impact of these initiatives on company sustainability efforts.

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Industrial Data Fabric

Pull disparate data sources into a central repository, apply analytics such as anomaly detection algorithms, and create API endpoints that can interact with controllers, alarms, and other shop floor IT systems.

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Production & Asset Optimization

Capture, analyze, and visualize the disparate plant data needed to detect production problems before they occur.

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Customer stories

We work with the industry’s leading consumer packaged goods (CPG) companies—innovators and pioneers—who expect more from their technology partners and know that great experiences speak louder than words. Learn more about the exciting ways CPG companies are leading their customer journeys with AWS.

  • Georgia-Pacific proactively prevents production issues with predictive analytics

    One of the world’s largest manufacturers of bath and tissue paper products eliminated 40% of parent-roll tears during the production converting process.

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  • Ferrara Candy improves business decisions with SAP BusinessObjects on HANA

    After a merger, Ferrara Candy deployed a HANA analytics environment on AWS and can now generate reports in minutes instead of weeks.

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  • Mahou San Miguel transformed operations with AWS Cloud

    Spain's largest brewery started working with AWS in 2015 on a data project. Since then, Mahou San Miguel has worked with AWS on several more projects to streamline IT infrastructure and reduce costs.

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  • Sumitomo Chemical migrated ERP to the cloud with SAP S/4HANA

    As one of the world’s largest chemical manufacturers, Sumitomo Chemical migrated its on-premises SAP ERP instances to an AWS Cloud infrastructure and realized a 40% improvement in batch processing times.

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  • Tine optimized dairy production with ML

    Tine, Norway’s largest dairy cooperative, is using ML-based predictive analytics with more than 250 million data points per cow to improve milk production, animal treatment, and carbon emissions.

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Innovate with key CPG industry partners

Discover purpose-built solutions and services from an expansive network of industry-leading AWS partners specializing in manufacturing.
  • Seeq

    Leveraging innovations in big data, machine learning, and web technologies, Seeq delivers easy to use features for your users and supports all phases of analytics from cleansing to reporting.

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  • Schuberg Philis

    Schuberg Philis’ Industry 4.0 solutions enable smart factory for consumer packaged goods companies with automation, interconnectedness, and data-driven decision-making from the factory production line to the shop floor.

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  • Siemens

    As products and factories become smarter and more complex, Siemens’ Digital Enterprise Suite provides the technical foundation for digital transformation.

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  • Crowley Carbon

    Crowley Carbon is an engineering services company underpinned by a powerful software platform – Clarity – that specializes in helping manufacturers achieve net zero carbon.

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  • Tulip

    Tulip allows manufacturers to digitally transform their shop floor through its self-service Manufacturing App Platform.

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  • Decisyon

    Decisyon accelerates digital transformation for CPG companies globally through increasing supply chain reliability, streamlining data collection, and delivering visibility into supplier performance.

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AWS Service partners

Our network of AWS CPG Service Partners offers strategy and deployment services to CPG brands to help accelerate their digital transformation and innovation journey across all areas of the enterprise.

  • Deloitte

    AWS and Deloitte empower CPG companies to transform their business, innovate faster, and grow ahead of the curve by combining cloud technologies with deep experience.

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  • DXC Technology

    With over 10,000 AWS accredited professionals, DXC understands the complexities of migrating workloads to AWS in large-scale environments, and has the skills needed for success.

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  • Wipro

    Wipro harnesses the power of cognitive computing, hyper-automation, robotics, cloud, analytics and emerging technologies to help clients adapt to the digital world with success.

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  • The LEA Reply™

    Reply supports customers in building Industrial IoT solutions and provides digital platform to process real time data coming from factories.

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AWS Marketplace

CPG solutions from AWS Partners are also available on AWS Marketplace, a digital catalog of third-party software, services, and data that makes it easy to find, buy, deploy, and manage software on AWS.
  • Crowley Carbon

    Crowley Carbon’s Clarity is an industrial energy efficiency and process optimization software that enables companies to achieve peak plant or building performance.

    Crowley Carbon on AWS Marketplace

  • Tulip

    Tulip's flexible, intuitive manufacturing app platform helps companies create applications that guide operators and collect data from people, machines, and processes.

    Tulip on AWS Marketplace

  • The LEA Reply™

    The LEA Reply™ is a suite of business microservices for inventory, warehousing, distribution, delivery, point-of-sales activities, and end-to-end visibility.

    Data Reply on AWS Marketplace

Coca-Cola Bottler Digitizes Manufacturing Processes with AWS

Learn how CCI identified machine failures and improved production line performance by deploying a digital twin solution.

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Resources

See related technical guides, solution briefs, blogs, and much more.

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AWS Manufacturing and Industrial IoT Web Week: A Path for Industry 4.0 to Scale

This IDC report provides an in-depth analysis of the event that showcased how the AWS strategy has "droves of Operational Technology (OT) providers, device and compute manufacturers, software solution providers, niche platforms, and service providers and integrators flock[ing] to the AWS ecosystem."
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Industrial IoT – From Condition Based Monitoring to Predictive Quality to digitize your factory with AWS IoT Services

Explore how industrial companies can use Predictive Quality to determine actions, such as adjusting machine settings, using different sources of raw materials, or conducting additional worker training, that will improve the quality of the factory output.
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Digitally transform your factory with Machine Downtime Monitor on AWS

Learn how Machine Downtime Monitor (MDM) on AWS can monitor production machine telemetry data to provide a near-real-time view of manufacturing lines and predict factory floor breakdowns.
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Improving Overall Equipment Effectiveness

To drive process efficiencies and optimize costs, manufacturing organizations need a scalable approach to access disparate data silos across their organization. Learn how to track Overall Equipment Effectiveness (OEE) with AWS IoT Analytics and Amazon QuickSight.