People Power: Human Capital Drives Manufacturing Competitiveness

whitePaper | July 31, 2022

Additive Manufacturing (AM) developments go back several decades, but stereolithography was the first commercial use of AM in the late 1980s using polymeric materials, and was widely used initially in the automotive industry sector. The aerospace industry adopted AM in the mid-1990s using polymer AM parts for non-structural production applications, and there are now a multitude of AM parts on commercial aircraft such as air ducts, brackets, and clips.

whitePaper | February 10, 2020

Manufacturing is at a crossroads. The traditional ways of growing productivity and profits no longer work, and the industry has been at a loss for new ones. But no longer. A solution has been found. The potential is unlimited, and the obstacles are gone. All that remains is for manufacturers to embrace the way forward to a new and transformative future. The time to do so is now.

whitePaper | October 10, 2022

Manufacturers are performing in a highly volatile environment Today’s manufacturers face a number of urgent challenges that they need to overcome in order to keep their business on track and gain competitive advantage. These challenges include customer demands for faster deliveries, greater product innovation and more Product as a Service offerings (servitization). Additionally, customers, investors and regulators are pressuring manufacturers to reduce their carbon footprint and improve transparency along their supply chains.

whitePaper | August 12, 2020

For industrial machinery and equipment manufacturers, delivering personalized, unique products is the key to doing business in an increasingly competitive environment. Read this best practice guide to learn how you can increase sales and reduce costs through. Facilitated configuration, quoting, order management, and customer communication utilizing CPQ automation

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.

whitePaper | September 21, 2023

Automation is improving the overall productivity of discrete manufacturing plants and facilities, delivering a range of goods from automobiles and electronics to furniture and toys to countless other items. The complexity of coordinating personnel, work procedures, material handling, and automated equipment – all while meeting production goals – make increasing digitalization and use of data across the enterprise and in production essential. Perhaps most important is the ability to put the control engineer, line worker, and design engineer in the middle of this critical data to derive actionable insights and provide real-time decision support. The constantly growing capabilities of digital technologies are creating more opportunities for discrete manufacturers to drive increasingly reliable and more efficient operations.