BigRep launches first fully 3D printed and functional e-motorcycle
The additive manufacturing company, BigRep, has unveiled the world’s first fully 3D printed and functional e-motorcycle: The NERA e-motorcycle.
The prototypes, created by NOWlab, is set to see a whole new dimension for 3D printing explored with all the NERA parts being 3D printed, with the exception of electrical components.
Stephan Beyer, PhD, CEO of BigRep GmbH, said: “These exciting prototypes not only demonstrate the unprecedented capacity of FFF large-scale 3D printing technology in Additive Manufacturing. They also emphasize our unique ability as the market’s innovation and thought leader to bring cutting-edge technologies from design to reality, providing an added-value market lead for our industrial customers.”
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There are a number of benefits that 3D printing provides such as the production of end-use parts, by decreasing lead times and costs, as well as optimising supply chains and limiting dependency on supplier networks.
Daniel Büning, co-founder and Managing Director of NOWlab, said: “The NERA combines several innovations developed by NOWlab, such as the airless tire, functional integration and embedded sensor technology. This bike and our other prototypes push the limits of engineering creativity and will reshape AM technology as we know it.”
As the developer of the world’s largest serial production 3D printers, Big Rep is prioritising setting standards in speed, reliability and efficiency.
Gartner: Leaders Lack Skilled Smart Manufacturing Workers
With organisations rapidly adopting industry 4.0 capabilities to increase productivity, efficiency, transparency, and quality as well as reduce cost, manufacturers “are under pressure to bring their workforce into the 21st century,” says Gartner.
While more connected factory workers are leveraging digital tools and data management techniques to improve decision accuracy, increase knowledge and lessen variability, 57% of manufacturing leaders feel that their organisations lack the skilled workers needed to support their smart manufacturing digitalisation plans.
“Our survey revealed that manufacturers are currently going through a difficult phase in their digitisation journey toward smart manufacturing,” said Simon Jacobson, Vice President analyst, Gartner Supply Chain practice.
“They accept that changing from a break-fix mentality and culture to a data-driven workforce is a must. However, intuition, efficiency and engagement cannot be sacrificed. New workers might be tech-savvy but lack access to best practices and know-how — and tenured workers might have the knowledge, but not the digital skills. A truly connected factory worker in a smart manufacturing environment needs both.”
Surveying 439 respondents from North America, Western Europe and APAC, Gartner found that “organisational complexity, integration and process reengineering are the most prevalent challenges for executing smart manufacturing initiatives.” Combined they represent “the largest change management obstacle [for manufacturers],” adds Gartner.
“It’s interesting to see that leadership commitment is frequently cited as not being a challenge. Across all respondents, 83% agree that their leadership understands and accepts the need to invest in smart manufacturing. However, it does not reflect whether or not the majority of leaders understand the magnitude of change in front of them – regarding technology, as well as talent,” added Jacobson.
Technology and People
While the value and opportunities smart manufacturing can provide an organisation is being recognised, introducing technology alone isn’t enough. Gartner emphasises the importance of evolving factory workers alongside the technology, ensuring that they are on board in order for the change to be successful.
“The most immediate action is for organisations to realize that this is more than digitisation. It requires synchronising activities for capability building, capability enablement and empowering people. Taking a ‘how to improve a day in the life’ approach will increase engagement, continuous learning and ultimately foster a pull-based approach that will attract tenured workers. They are the best points of contact to identify the best starting points for automation and the required data and digital tools for better decision-making,” said Jacobson.
Long term, “it is important to establish a data-driven culture in manufacturing operations that is rooted in governance and training - without stifling employee creativity and ingenuity,” concluded Gartner.