Are You Looking to Optimize Your Manufacturing Processes?

January 9, 2018

Manufacturing companies contributed $2.17 trillion to the U.S. economy according to the most recent annual data. Manufacturers, of which 98.6 percent qualify as small businesses, have become more agile, more productive and leaner in recent years. These advances have reduced both times to market and labor costs. Factory automation has been a key driver behind many of these improvements, and pallet conveyor systems continue to be a crucial component for virtually every manufacturer seeking to improve efficiencies, agility, and profits.

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Allergan

Allergan plc is a bold, global pharmaceutical company. We are focused on developing, manufacturing and commercializing branded pharmaceutical, device, biologic, surgical and regenerative medicine products for patients around the world.

OTHER WHITEPAPERS
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Automation is the Future: Real-Life Robotic Process Automation UseCases

whitePaper | September 18, 2022

RPA is a system that allows businesses to automate tasks and processes that are normally performed by employees. RPA works across different platforms, applications, and departments. RPA integrates seamlessly with existing IT infrastructure, requiring no additional installation. Organizations do not have to invest heavily in automating essential processes

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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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ADOPTING AN ADAPTIVE MANUFACTURING STRATEGY

whitePaper | July 7, 2022

Change has always been a factor in manufacturing, but traditionally, market conditions have evolved over several months or even years. By contrast, in today’s global economy, incidents both local and thousands of miles away are shifting market demand quickly, impacting the availability of materials, and reshaping supply chain dynamics at breakneck speed. Manufacturers need to adapt to these changes immediately without sacrificing product quality, customer relationships, or valuable employees. And that requires an adaptive manufacturing strategy.

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REDEFINING SKILLS FOR A RESILIENT MANUFACTURING SECTOR

whitePaper | August 22, 2022

The coronavirus pandemic that unfolded in 2020 and which is still yet to be fully under control, has had dramatic impacts in every aspect of our daily lives, from the way we work to the way we interact socially and to how organizations are structured. Some of its impacts are yet to be fully grasped, as several new studies provide further evidence of significant changes, ranging from its impact on our health to the way we learn and to how companies have been required to redefine their work model.

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AUTONOMOUS SWEEPERS IN MODERN PRODUCTION FACILITIES

whitePaper | June 12, 2022

Automation has been a driving force behind greater productivity and efficiency in manufacturing companies since the 1980s. In the 2020s, a new generation of applications will enable even more production companies to benefit from the potential of automated processes. Advances in sensor technology and networking enable increasingly complex tasks to be performed reliably and safely by robots. Thanks to high-performance sensor technology, they can automatically react to many changing circumstances. Connected to the Internet of Things (IoT), the robots automatically provide information about progress and incidents. Via a remote connection, the IoT technology can be provided with new instructions, monitored, and remotely operated if necessary.

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Building a Data-Driven Culture for Smart Manufacturing

whitePaper | March 17, 2022

Manufacturing industry professionals must corral and understand massive amounts of data from many systems to drive operational efficiencies, higher levels of service, supply chain resiliency, and ultimately a complete view of the business. Having the ability to explore the impact of and interplay among changes in production efficiency, product quality, customer demand, and service excellence isn’t possible without visibility into data and meaningful data analytics. This “big data” approach to manufacturing operations and supply chain optimization can deliver big results and is at the heart of the digital transformation initiatives of many industrial companies.

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Spotlight

Allergan

Allergan plc is a bold, global pharmaceutical company. We are focused on developing, manufacturing and commercializing branded pharmaceutical, device, biologic, surgical and regenerative medicine products for patients around the world.

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