The race to a digital future

whitePaper | February 29, 2020

Ideal Boilers in Hull, UK started manufacturing boilers back in 1906. Since autumn 2018, the boiler chassis for the domestic range of boilers have been manufactured in a fully automated and highly efficient process designed by AP&T. Over 400,000 boilers leave the factory in Hull every year for households and commercial properties all over the UK. In order to meet the growing demand for the company’s products, Ideal Boilers decided in 2016 to investigate the possibilities for increased automation and streamlined production.

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.

whitePaper | April 7, 2021

Digital technologies enable companies to build cyber-physical systems (CPS) in Industry 4.0. In the increasingly popular concept of Industry 4.0, an important research topic is the application of digital technology in industry, and in particular in specific industry sectors.

whitePaper | June 3, 2022

Production and intralogistics in the consumer goods industry are currently undergoing significant changes. This is the result of rising cost pressures and the need for greater automation as well as increasing product variants and customization. The changes that are taking place also relate to the goal of digitization: Every sensor, every machine, and all people involved in the production and intralogistics processes should be able to communicate with each other at all times. The vertical and, in the next step, horizontal networking of sensors, machines and factories is the systematic further development of this digitalization.

whitePaper | August 1, 2020

Today’s manufacturers are under pressure to be more flexible, reduce downtime and costs and increase efficiencies. In addition to making new investments in production and technology, data-driven manufacturing companies are responding to these pressures by leveraging the capabilities of artificial intelligence (AI), the industrial internet of things, (IIoT), cloud computing technologies and innovations in smart measurement and quality data management systems—resulting in greater visibility into their operations. Read our whitepaper, “Smart Measuring Systems for the Smart Factory,” to learn how Mitutoyo is helping advance factory intelligence.

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.