HOW TO PRIME FOR SUSTAINABLE GROWTH IN THE MANUFACTURING INDUSTRY

whitePaper | January 13, 2020

Emerging technologies, such as advanced analytics and artificial intelligence, are transforming the world of production and creating new opportunities for industry, society and the environment. Data is critical, as is companies ability to manage it effectively. While manufacturers are making strides in this area, most focus on data within their companies and have difficulty maximizing their return on investment and driving innovation at scale.

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 | August 15, 2022

It is clear that for many businesses, with legacy assets and requirements for urgent investment in other areas, the goals of Industry 4.0 can seem further away than ever. Many of the smart manufacturing ideas and strategies that are discussed assume a base level of automation and integration that are much easier to achieve in greenfield sites that have be

whitePaper | January 1, 2023

Pragmatic Semiconductor is a British semiconductor manufacturing company based out of Cambridge and Durham that develops ultra-low-cost flexible electronics that can help address society’s challenges. We provide a unique, flexible platform and rapid turnaround time, with significantly lower footprint and cost than conventional silicon foundries.

whitePaper | July 13, 2020

There are different tracking technologies typically used in a production facility. Depending on the amount of data transmitted and the complexity of implementation each have corresponding price points. The manual manipulation of hand scanners requires time for processing and allows for error in recording. The cost of implementation is low, but systems require consistent investment of time devoted to ensuring accuracy. The cost to serialize assets for tracking is low, but the data can be damaged and capacity/flexibility for data storage is limited.

whitePaper | January 11, 2022

While the technological maturity of AM has been demonstrated in specific industries, individual firms still struggle with its adoption and implementation at industrial scale. Companies underestimate the extent to which the adoption of AM is first and foremost a learning process that involves the entire value chain and requires specific AM expertise that needs to be acquired. Throughout this learning process, a wide range of challenges may hinder the progress and success of implementation.