Key Considerations for Metal AM Parameter Optimization

whitePaper | May 1, 2022

The Manufacturing Software Market The global marketplace for enterprise-class manufacturing software is complex and constantly evolving. Sure, there is no shortage of vendors competing for your business, but with dozens of companies all claiming to offer best-in-class products, how do you choose the right solution? You want to choose something that meets your current needs and will leave you room to grow without paying for bells and whistles that you'll never use. An incorrect choice could prove costly and cause more harm than good.

whitePaper | July 16, 2020

Quality control testing instrumentation solutions for GMP manufacturing. From raw materials QC through production QC and final product QC.Purified Water is used to produce nonparenteral preparations and other pharma applications, including tests/assays for which water is indicated. SOP parameters can be pre-programmed into the instrument and automated for testing to meet EP 2.2.44 Total Organic Carbon, USP<645> Water Conductivity, USP <643> Total Organic Carbon Analysis, and International Conference on Harmonisation (ICH) Q2 standards.

whitePaper | October 23, 2021

Artificial Intelligence (AI) will increase the level of intelligence in the manufacturing industry by promoting, inter alia, the matching of production and demand, improving quality inspection, increasing product yield, reducing product failure rates, and improving production efficiency.1 While the last decade of Industry 4.0 was determined by technology-driven innovation, the coming years will focus on data- and intelligence-driven innovation. In this perspective, AI is an enabler for the transition from smart factories towards intelligent factories with self-optimising and self-healing characteristics. While smart factories are capable of applying previously acquired knowledge, intelligent factories will be able to autonomously acquire new knowledge and apply it for self-optimisation purposes.

whitePaper | August 1, 2020

Imagine the power of a process model that defines the pace of your production. Imagine process mining insights, which allow you to feel the pulse of actual process performance. Imagine a digital twin as a virtual representation of your manufacturing processes. Imagine a single software which - at the same time - enables a more collaborative approach, with all members of the workforce working towards performance improvement, reducing waste & defects. Now stop imagining... that reality is here.

whitePaper | August 8, 2022

Similar to a perfect storm, manufacturers have been navigating a unique time of multiple challenges including supply-chain disruptions, economic uncertainties, and worker shortages. Digital transformation is supposed to ease these strains. Digitizing processes and adopting the right technologies can help achieve cost efficiencies, allow for scalability and growth, and overcome talent gaps

whitePaper | February 23, 2022

Fully automated assembly lines with industrial robots are highly efficient, fast and precise – as long as they are in operation. When unplanned downtimes occur, the economic damage can be immense within just a matter of minutes. Prevention is better than repair. Using high-performance lubricants during regular maintenance of industrial robots prevents unscheduled downtimes, optimizes the robotics and maximizes the uptime of the assembly line. In this white paper, you will learn more about the right lubrication for your industrial robots.