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Using data science for better manufacturing

Using data science for better manufacturing

Today, manufacturers still face the challenge of finding simple answers to simple questions about what customers are buying, how those products vary over time in aggregate volume and mix, how well products meet the needs they are designed to fill, where problems are and whether the solutions have worked. Undoubtedly, direct observation of the shop floor and personal communications with stakeholders provide information that data cannot, but the converse is true as well.
By Michel Baudin 

Get your truckers moving

Get your truckers moving

Industry and universities often collaborate to tackle such challenges. This article describes one such collaboration, which facilitated the design, development and evaluation of several scenarios to optimize inbound logistics, reduce operating costs and ensure sustainability.
By Dustin Smith and Sharan Srinivas

Is your aim on target?

Is your aim on target?

Having a vision alone will not achieve the desired outcomes because those closest to the process will most likely contribute to sustainable long-term change and organizational viability. Subsequently, buy-in and support from all organizational stakeholders is a minimum requirement for successful projects. This can only be achieved by an inclusive, transparent and rewarding process improvement environment.
By Casey Bedgood

AR, VR and 3-D can make workers better

AR, VR and 3-D can make workers better

New innovations present impressive opportunities to refresh blended learning solutions that drive greater efficiency and productivity for the company as well as greater engagement, satisfaction and safety for the employee. Let’s look at a few of these new technologies and present some thoughts on how we can all reconsider what blended learning means and how to use it.
By Jeffrey Dalto