Smart Manufacturing Platform Ranking

July 26, 2018

ABI Research ranked these platforms based on their proven innovation/implementation criteria framework. ABI Research analyzed each platform on its innovation, out-of-the-box thinking, and plans to deploy and support transformative technologies, such as augmented reality/mixed reality, digital twins, edge intelligence, protocol adaptability & connectivity, robotics integration, and other transformative technologies, including Artificial Intelligence (AI) and blockchain.

Spotlight

Fisker Inc

American EV company. Clean Future for All. Disruptive EMobility Technologies. Strive for the world’s most sustainable vehicles.

OTHER WHITEPAPERS
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The Best of Both Worlds: Combining AM and IM to Master the Whole Life Cycle of Your Parts

whitePaper | January 2, 2023

Additive Manufacturing (AM) and Injection Molding (IM) are often perceived as competing plastic processing technologies. However, organizations must be ready to utilize and switch between different production technologies to address changing product requirements, shift production schedules based on market demands, or respond to supply chain crises. This includes making both technologies complementary, not exclusive.

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4 Key Industries Embracing Industry 4.0

whitePaper | November 1, 2022

Industry 4.0—also referred to as smart manufacturing, connected manufacturing, the Industrial Internet of Things (IIoT), and other monikers—has revolutionized the way companies manufacture, enhance, and distribute products through the use of new technologies. However, not all sectors and markets are evolving at the same pace. To help both manufacturing providers and industry leaders understand the landscape, ABI Research’s Industrial & Manufacturing Markets Research provides insights, perspectives, and data related to digital maturity within individual markets and across the industry landscape. Our research illuminates drivers and inhibitors that are shaping adoption of digital technologies across market maturity, practitioners’ investment priorities, and best practices for deploying the technologies. We keep abreast of key trends, including increasing demand for electric vehicles and semiconductor chips, the adoption of machine learning and automation, and a reliance on digital twins.

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Device Manufacturing and Provisioning with X.509 Certificates in AWS IoT Core

whitePaper | November 17, 2022

Amazon's trademarks and trade dress may not be used in connection with any product or service that is not Amazon's, in any manner that is likely to cause confusion among customers, or in any manner that disparages or discredits Amazon. All other trademarks not owned by Amazon are the property of their respective owners, who may or may not be affiliated with, connected to, or sponsored by Amazon.

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Leveraging MongoDB to create Asset Administration Shells and enable Industry 4.0

whitePaper | January 3, 2023

In order to achieve digital manufacturing through Industry 4.0, it is critical to aggregate and manage the huge amount of data generated in the factory by Industrial Internet of Things (IIoT) sensors and devices. Having connected machines, workers and systems is just the start of the digital transformation journey. To extract real value from this connectivity, a digital twin of machines and processes have to be modeled in a standardized manner which will help aggregate heterogeneous data and provide valuable insights to drive productivity and efficiency. The interoperability and flexibility of different assets is an important challenge due to the volume and variety of data that needs to be modeled. This paper will go over Industry 4.0 compliant data modeling principles using the MongoDB Smart Factory testbed as an example. We will model the data using MongoDB Atlas in a way that fulfills requirements and needs of Industry 4.0: interoperability, flexibility and scalability.

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How a digital manufacturing platform increases your Overall Equipment Effectiveness (OEE)

whitePaper | January 10, 2023

Now COVID-19 has made it even more pressing to switch to digital, it is high time to say goodbye to manual, paper-based workflows in mass production factories. Digitization is the way forward to Industry 4.0. Because that’s the key to an Overall Equipment Effectiveness (OEE) of world-class level (85%). In reality, most plants today have an OEE closer to 60%. We believe the solution lies in a digital manufacturing platform that supports all plant work processes and utilizes advanced technologies like Machine Learning, IoT, AI and mobile. In this whitepaper, we will show you how such a digital manufacturing platform could work by describing three manufacturing processes: Task Management, Deviation Management and Root Cause Analysis, and how digitalization of these processes can help you achieve an OEE of world-class level.

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Manufacturing Workload Protection in the Cloud

whitePaper | May 2, 2023

Much of the manufacturing industry is overwhelmed with the digital transformation shift. Many manufacturers are just starting this digital journey, seeking ways to transform and innovate to adapt and succeed. Digital transformation for manufacturers can mean different things, from deploying a new digital experience for customers to a completely new business model. Some changes we have seen, such as the use of real-time data to improve operations, forecast outcomes, and map out risk-based guidance, are greatly beneficial for plant managers and factory personnel. Moreover, they can help manufacturers ensure business continuity and maximize return on investment (ROI

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Spotlight

Fisker Inc

American EV company. Clean Future for All. Disruptive EMobility Technologies. Strive for the world’s most sustainable vehicles.

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