Operational Intelligence Helps Alcoa Generate Business Value from Big Data

whitePaper | January 24, 2020

Small-to-midsize businesses in manufacturing and distribution industries are focused on growing revenue, reducing costs, and improving customer experience. However, nearly 40% of companies don’t believe their current business infrastructure and applications (e.g., enterprise resource planning) are adequate for delivering these business priorities.

whitePaper | March 2, 2020

Discrete manufacturers in Great Britain and around the world have undergone huge transformation in this fourth Industrial Revolution – for a number of reasons. A combination of factors that include economic and market uncertainty, changing customer expectations around technology and a fast-moving green agenda are putting pressure on businesses to hone their supply chains and explore more sustainable and digital business models.

whitePaper | July 25, 2022

Manufacturers are demanding ever-greater precision, accuracy, and reliability from industrial automation. Fortunately, sensors, robot arms, grippers, and the software to connect and guide them have become increasingly capable. In response to the labor and supply chain challenges of the past few years, as well as the demands for personalization and rapid fulfillment, many factories and other facilities are looking to adopt robots or add them to their operations. In this Special Focus Issue, we look at how AI and machine learning are enabling more precise picking, among other applications.

whitePaper | November 10, 2022

Evolving Design Tools To Meet Increasingly Complex Demands Packaging machine designs evolve at a rapid pace. The emergence of smart manufacturing and the need for smarter machines is creating a challenge in electromechanical design, information management, and robotic adoption. New vision and sensor technologies provide increased capabilities at the component level, providing faster and more accurate insight into production quality and improving throughputs.

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.

whitePaper | May 23, 2022

Cost-effective digital manufacturing solutions are needed to keep factories and supply chains running smoothly while producing high-quality products–whether delivered by OEM, parts or assembly supplier, contract manufacturer, or manufacturing services supplier. IBM can help you cocreate a roadmap to a custom solution with a focus on leveraging existing OT investments,improving key metrics, exploiting digital tools, and using the right talent. We help you set your direction based on a proven Industry 4.0 reference architecture and industry standards, achieve scale by consistently deploying advanced shop floor technologies on an open platform, and unleash optimum value by selecting manufacturingprocess use cases to address immediate needs.