Augmented Workforce: Empowering People, Transforming Manufacturing

whitePaper | August 1, 2022

The story of manufacturing is one of constant technological change and evolution. It is also a story with a sweeping geopolitical arc from the industrial revolution in 19th century Britain to modern day China accounting for nearly 30% of the world’s manufacturing1 . The march of the machines is relentless and for large portions of society, alarming. Today’s technology is even imbued with the ability to learn – Blake Lemoine, a software engineer at Google, believes a chatbot his firm has created is capable of conscious thought2.

whitePaper | March 23, 2023

The fourth industrial revolution is transforming the manufacturing industry as we speak. Industry 4.0 is digitally driven, and like all other revolutions, the transformation did not happen overnight. Since the first personal computer on a factory floor in 1970s, computer-aided design has developed and matured exponentially. Strategically eective evolutionary steps has resulted in productivity and eciency gains in manufacturing. We live in the Industry 4.0 era, characterized by the digitization of manufacturing processes. Inevitably, today, information plays a significant role for an enterprise transformation. Data on how the product’s design and manufacturing information is authored, exchanged, and processed is critical to competitiveness. Information ‘silos’ for various life cycle processes are gradually connected to form a digital thread of information, envisioned to integrate and drive modern product design, manufacturing, and product support service processes.

whitePaper | February 16, 2022

An enterprise tech ecosystem, consisting of robust and powerful software solutions built for a specific purpose, is the front line of all business operations. It’s also one of your company’s biggest investments and greatest assets. Certainly, the vast majority of manufacturers both large and small have at least begun their digital transformation journeys, adopting digital systems to streamline important areas of the business. Most organizations have focused their initial investments on digitizing core enterprise and operations systems like enterprise resource planning (ERP), materials requirement planning (MRP) and supply chain management (SCM) as well as their industrial equipment and automation systems

whitePaper | December 11, 2021

Developing products for an increasingly complex world certainly challenges or even exceeds engineering capabilities. Many factors impact complexity such as connectivity, security, safety, product variants, development velocity, reliability and quality,Many argue tha the major driver to better manage this complexity is the engineering paradigm of Industry 4.0.

whitePaper | November 12, 2019

Today’s economies are changing dramatically, driven by developing and emerging markets, innovative products and business models, and the accelerated rise of advanced technologies, such as machine learning and artificial intelligence. Globally, the automotive and manufacturing segments have seen record-setting profits over the past decade-and also transformative change.

whitePaper | March 17, 2022

Manufacturing industry professionals must corral and understand massive amounts of data from many systems to drive operational efficiencies, higher levels of service, supply chain resiliency, and ultimately a complete view of the business. Having the ability to explore the impact of and interplay among changes in production efficiency, product quality, customer demand, and service excellence isn’t possible without visibility into data and meaningful data analytics. This “big data” approach to manufacturing operations and supply chain optimization can deliver big results and is at the heart of the digital transformation initiatives of many industrial companies.