Selecting a Manufacturing Execution System for a Smart Factory

whitePaper | June 1, 2023

This rapid shift from internal combustion engine (ICE) vehicles to EVs has brought a huge opportunity for automobile manufacturers to scale up their EV production. However, this is posing challenges for automobile manufacturers, as they need to invest heavily in a short time span for EV design, development, manufacturing, selling and servicing infrastructure. There are additional challenges related to battery cost, supply chain complexities and manufacturing infrastructure. Contract manufacturing is becoming an increasingly important strategy for EV manufacturers.

whitePaper | August 31, 2022

The business case for collaboration and cross-functional transformation Faced with significant and ongoing disruption in the industry, manufacturing companies have known for years that digital transformation is essential to maintain a competitive edge. COVID-19 has only accelerated the need for digital transformation. The pandemic has disrupted supply chains, created an increasingly distributed and remote workforce, caused significant changes in demand, and increased the challenges of providing field service. To address these changes, manufacturing companies have accelerated their investments in digitization. According to McKinsey, advances in this area are now ahead of schedule by three to four years.1

whitePaper | February 24, 2023

Business demands have forced manufacturers to be more agile. Smart manufacturers are adopting technology, specifically digital twins, to move faster. Using a digital twin in a manufacturing environment can fast-track discovering bottlenecks, drive efficiencies, lower costs, reduce environmental footprint, and help manage risk. However, there is mystery around digital twins, from defining what they are and their strengths to the critical importance of an ecosystem approach to address the diversity of digital twin scenarios. The goal of this paper is to demystify digital twins, so more manufacturers can apply the technology and bring agility to their operations.

whitePaper | January 15, 2022

The Fourth Industrial Revolution, whose fields of innovation include the industrial internet of things (IIoT), artificial intelligence (AI) and the development of cyber-physical systems, is transforming the relationship between technology and human beings. The exponential development of technology is undeniably exciting: it has the potential to unlock efficiency, productivity, sustainability and growth at scale. Yet such developments also give rise to a series of challenges concerning the role and place of human beings.

whitePaper | May 19, 2023

For the better part of a decade, manufacturers have made significant strides to drive efficiencies, boost agility, and improve product quality by implementing data-capture sensors and analytics systems. Now, they are capitalizing on that foundation to optimize interconnectivity, automation, machine learning, and real-time data to further enhance production outcomes and improve worker safety and well-being.

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.