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three B. Lindsay Lowell and Harold Salzman, Into the eye of the storm: assessing the evidence on science and engineering training, quality, and workforce demand (Washington, DC: Urban Institute, October 29, 2007); Anthony P. Carnevale, Nicole Smith, and Michelle Melton, STEM: science, expertise, engineering, arithmetic (Washington, DC: Georgetown College ultius reviews Center on Training and the Workforce, 2011); and Terrence Ok. Kelly, William P. Butz, Stephen Carroll, David M. Adamson, and Gabrielle Bloom, eds., The U.S. scientific and technical workforce (Santa Monica, CA, Arlington, VA, and Pittsburgh, PA: RAND Company, June 2004).
Despite the labor-saving potential of the robots, Mick Mountz, Kiva’s founder and CEO, says he doubts the machines have put many people out of labor or will do so in the future. For one factor, he says, most of Kiva’s customers are e-commerce retailers, a few of them growing so quickly they can not rent people fast sufficient. By making distribution operations cheaper and more efficient, the robotic know-how has helped many of these retailers survive and even develop. Earlier than founding Kiva, Mountz labored at Webvan, an online grocery supply company that was one of many 1990s dot-com era’s most notorious flameouts. He likes to indicate the numbers demonstrating that Webvan was doomed from the beginning; a $100 order cost the company $a hundred and twenty to ship. Mountz’s level is evident: one thing as mundane as the price of materials handling can consign a new enterprise to an early loss of life. Automation can resolve that drawback.
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