Process method for manufacturing impellers by Selective Laser Melting

whitePaper | January 11, 2022

While the technological maturity of AM has been demonstrated in specific industries, individual firms still struggle with its adoption and implementation at industrial scale. Companies underestimate the extent to which the adoption of AM is first and foremost a learning process that involves the entire value chain and requires specific AM expertise that needs to be acquired. Throughout this learning process, a wide range of challenges may hinder the progress and success of implementation.

whitePaper | March 8, 2023

Agile Manufacturing is a manufacturing philosophy that emphasizes flexibility, adaptability, and responsiveness in production processes. It is an approach that allows manufacturers to quickly respond to changing market demands and customer needs. The term Agile refers to a set of principles and practices aimed at delivering high-quality products that meet the needs of customers in a fast-changing environment. The term Agile Manufacturing was first coined in the early 1990s, during a time of increasing global competition and rapidly changing market conditions. As a result, manufacturers began to explore new ways to improve their competitiveness and responsiveness to changing customer needs, leading to the development of the Agile Manufacturing strategy. In January 1991, the term appeared in an important report entitled “21st Century Manufacturing Enterprise Strategy” by the Iacocca Institute at Lehigh University in the United States.

whitePaper | August 15, 2022

It is clear that for many businesses, with legacy assets and requirements for urgent investment in other areas, the goals of Industry 4.0 can seem further away than ever. Many of the smart manufacturing ideas and strategies that are discussed assume a base level of automation and integration that are much easier to achieve in greenfield sites that have be

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 | November 1, 2022

Many businesses are experiencing an increase in supply chain disruptions reverberating down to the customer. A rapidly growing population adding to the swell of demand, the threat of a looming recession, and complex logistics systems create an incredibly delicate balance. We are facing a pivotal time for the future of supply chains.

whitePaper | November 12, 2022

Since the first Industrial Revolution, the manufacturing process has been revolutionised from water and steam-powered machines to electrical and automated ones. The term "Industry 4.0" or simply I4 was introduced by the German government in 2011, which encourages the use of modern technology in the manufacturing process. It defines that automation technology can be improved by offering different methods of self-configuration, self-optimisation and self-diagnosis. The fourth era of revolution (Industry 4.0) is all about connectivity trends, advanced material, processing technology, service orientation and collaboration in advanced manufacturing networks. It presents a unique level of control and coordination over the whole value chain of the products. Internet of things (IoT) and machine to machine communication (M2M) are merged to improve communication and automation. It creates a new set of design principles for effective and computerised control of the manufacturing process which includes