What’s driving the Reshoring Movement? A look into Key Trends for Manufacturers

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 | October 11, 2022

Identifying problems before they cause equipment failure and costly, unplanned downtime is the purpose of proactive and predictive maintenance programs. And one of the most reliable ways of catching problems before they become failures is to detect when a piece of equipment is beginning to operate outside of its normal parameters – especially if it is beginning to run too hot or too cold. Variations from normal heating are often the first signs of impending equipment failure, so frequent thermal inspections of critical equipment such as motors, belts, and drives not only helps extend the life of these assets, but keep your entire operation up and running normally

whitePaper | September 13, 2022

From big data to analytics and the Internet of Things, digital transformation is disrupting every aspect of the way manufacturers operate. Market leaders who embrace this change will come out on top. Those slow to react – whether they’re industry giants or niche players – will be left behind and may struggle to survive. Winners are harnessing the power of cloud and application technologies to become more agile and operate more efficiently. They’re leveraging emerging technologiesto deliver compelling customer experiences and launch innovative new services, as well as creating new business models to scale, grow, and stay ahead of the pack.

whitePaper | May 20, 2022

Manufacturing and industrial technologies are major drivers of societal wealth. In 2019, the manufacturing sector accounted for two million enterprises, €2,078 billion in gross value added, and 32.1 million jobs in the EU-27 area.1 The European economy is highly dependent on the manufacturing industry and exporting of manufactured goods. Around 10 percent of all enterprises in the EU’s non-financial business economy are classified as manufacturing.2 The transition of societies to climate neutrality and circularity pushes for changes in operations and creates new business opportunities for companies. Markets are shifting towards green products and services to meet conscious consumers’ needs and comply with the new and upcoming EU regulations that strive to reduce net greenhouse emissions by at least 55% by 2030.3

whitePaper | June 22, 2022

These are unprecedented complexities in the manufacturing sector that will require companies to evaluate how operation layouts need to be modified to assure safety and operational efficiencies. These design decisions have a material impact on the productivity and efficiency of the production line and, hence, your business. How can manufacturers begin to effectively model and make these trade-offs? If necessary, how can these changes to the production line be persistently maintained and efficiently updated in the future? What is the “next normal” for these companies?

whitePaper | November 30, 2022

The manufacturing and production sectors grapple with significant challenges arising from component failures, which often lead to disruptive operational interruptions. The economic impact of such disruptions can be profound, with every downtime minute potentially translating into thousands of dollars in lost revenue. While regular and planned maintenance can somehow mitigate these unplanned downtimes, they are unable to completely assure against potential component failures.