Strategy for American Leadership in Advanced Manufacturing

whitePaper | October 24, 2022

Additive Manufacturing (AM) which is also known as 3D printing has received increased attention over the last couple of years and has proven to be an innovative manufacturing technology that can be applied in multiple industrial sectors. However, the term „Additive Manufacturing“ includes a large variety of technologies that offer different advantages and disadvantages. Moreover, according to the desired characteristics of the finished part, one technology can be more suitable for the manufacturing of the part than another. This results in the challenge to select the adequate technology for a specific application.

whitePaper | November 1, 2022

Industry 4.0—also referred to as smart manufacturing, connected manufacturing, the Industrial Internet of Things (IIoT), and other monikers—has revolutionized the way companies manufacture, enhance, and distribute products through the use of new technologies. However, not all sectors and markets are evolving at the same pace. To help both manufacturing providers and industry leaders understand the landscape, ABI Research’s Industrial & Manufacturing Markets Research provides insights, perspectives, and data related to digital maturity within individual markets and across the industry landscape. Our research illuminates drivers and inhibitors that are shaping adoption of digital technologies across market maturity, practitioners’ investment priorities, and best practices for deploying the technologies. We keep abreast of key trends, including increasing demand for electric vehicles and semiconductor chips, the adoption of machine learning and automation, and a reliance on digital twins.

whitePaper | August 30, 2022

Unexpected change costs in automotive manufacturing investment projects can quickly lead to spiraling costs and delays in production unless carefully managed. Any changes to production schedules and machinery must be meticulously planned. But without the correct information to base a plan, problems may multiply instead of being resolved.

whitePaper | July 30, 2020

After the COVID-19 pandemic abruptly ground the world to a halt in the first few months of 2020, it created both new challenges for the manufacturing industry and exacerbated those that had existed for some time. According to an article by McKinsey & Company analysts,1 the future we expected by 2020 hasn’t quite come to pass. Rather than a significant shift towards more automation and a smaller workforce, the opposite is true, due in part to the pandemic.

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 | March 29, 2023

Smart factories have various areas of strengths and weaknesses, just as people do. Strengths bring the opportunity for positive differentiation, whilst weaknesses offer challenges to address in order to deliver consistently on expectation. Many people like to measure their IQ to see how they compare in terms of being “Smart”— so why should we not do the same for the data-driven Smart assembly factory? This helps reveal both strengths and weaknesses, builds the roadmap for improvement and development, increases visibility of unique values, and eliminates risk derived from bottlenecks and inefficiencies. It is time to put our Smart, data-driven manufacturing operation to the test, ensuring preparedness as the industry transforms toward the elusive Industry 4.0.