Imagine you are the manager of a leading manufacturing company. One of your responsibilities involves managing operations at an automotive component plant.You are home one blustery night when your cell phone buzzes. You received an instant text alert from the factory about machines breaking down.
A goldfish’s attention span is nine seconds, whereas the average human attention span in 2000 was 12 seconds. With the rise of smartphones and technology, it came down to 8 seconds in 2013, which is even shorter than that of a goldfish, according to a 2015 study by Microsoft Corporation.
If organizations want to attract, develop, and retain talent in this generation, they will have to adapt to the changing training needs of this target demographic. The traditional learning methods are cognitively onerous and are no longer working efficiently. Moreover, long learning sessions give people too much information. There’s a limit to how much a human brain can process in one go.
What if there was a better way?
“It is not inevitable, but it is highly likely, that manufacturing will remain male dominated for some time to come.” – Carol Burke, Head, Unipart Manufacturing
Representing 47 percent of the general workforce and only a third of the manufacturing workforce, women still remain an untapped resource. In order for the manufacturing industry to reach its full potential, women must be given equal opportunities for future employment. Women bring creativity, a different perspective, and thought leadership to the workplace, and make manufacturing stronger. From body shop shift leaders to industrial engineering and everything in between, women are now leading the manufacturing sector.
Although it has taken many years of pollution and global warming to capture awareness in a way that truly reflects the urgency of the situation, it now finally seems that most manufacturing companies recognize the degree to which they are responsible for environmental problems and the need for action to reduce environmental damage.
George Charles Devol, often referred to as the father of robotics, invented the Unimate in 1954. This first industrial robot soon went online in a General Motors automobile factory in New Jersey. Devol and engineer Joseph Engelberger’s Unimate performed spot welding and extracted die castings.
“One accurate measurement is worth a thousand expert opinions,” said Grace Murray Hopper, widely recognized as a true pioneer of computing. This could be faulted by the overly literal as an idea that may not always hold true. But for the workforce in manufacturing, it is certainly of paramount importance.
Manufacturing has always been a complex world. It is only getting more complex with so much data being generated everyday, and this is certainly going to increase significantly in the future. At the center of it, surviving means being able to leverage all this data and adapting your workforce to data-driven manufacturing. Two factors are converging that make big data analytics a perfect fit for manufacturing. First are growing market pressures, including global competition, regulations, thin margins, and accelerated design cycles, among others. In order to respond, manufacturers have to be able to make data-driven decisions quickly. The second factor is the growth of the Industrial Internet of Things (IIoT), referring to how everything is going digital and being networked. As a result, more data is being generated than ever before by equipment, automation, systems, and even the products themselves. This data just needs to be harnessed to support the decision-making process.
While playing a game, eating chocolate, or exercising, your body releases endogenous morphine, commonly known as endorphins. Endorphins are neurotransmitters, or chemicals that pass along signals from one neuron to the next. If these endorphins are released when someone is engaged in a learning activity, the learner will not only have more fun, but they actually retain more information This is key to maximizing the potential of endorphins in eLearning through gamification.
With key adopting industries investing significantly in research and development projects, hardware, and expertise, the additive manufacturing (AM) market is expected to grow at a compound annual growth rate (CAGR) of 13.5% between 2012 and 2017 and reach nearly $3.5 billion by 2017 as per a report published by MarketsandMarkets. Even though additive manufacturing has been around for decades, with the reduction in the cost of additive manufacturing hardware in recent years, the technology is finally becoming readily available. This means that anyone can now create three-dimensional designs at home, on a machine, with little investment. No longer the stuff of science fiction, additive manufacturing is a new reality.
We always knew we wanted to give THORS learners a way to experience a foundry in virtual space. We envisioned it as a Foundry101-level course that any new hires starting in the industry would be able to take for quick understanding of the manufacturing process. Finally, in 2015 we purchased an Oculus Rift Development Kit. With the Cast Expo coming this April, we decided to see what we could create to help share this valuable knowledge with foundry professionals.