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2018. 11. 12. | Time to read: 1 min
Drishti 이사회의 설립자이자 회장인 Prasad Akella박사는 기술을 사용하여 인간의 능력을 확장하는 세 번째 거대한 시장 카테고리를 만들고 있습니다. 1990년대에 프라사드는 세계 최초의 협동 로봇 (‘cobots’, 2025년까지 120억 달러의 시장이 될 것으로 예상되는 예상됨 코봇)을 개발한 제너럴 모터스 팀을 이끌었습니다. 2000년대 초, 소셜 네트워킹의 선구자인 Spoke의 공동 설립자로서, 현재 수조 달러의 가치를 가진 거대한 소셜 그래프를 구상하고 그 구축을 지원했습니다. 현재는 Drishti에서 AI 기반 생산이라는 형태로, AI의 인식력과 공장에서의 인간의 유연성을 조합하는 것에 임하고 있습니다. Prasad는 캘리포니아 마운틴 뷰에 기반을 두고 있습니다.
“I believe there is significant – as yet untapped – opportunity to drive high volume factory performance to much higher levels of productivity, quality, and problem-solving capability through the use of human factory analytics.”
Today we released a report that encompasses months of planning, research and analysis with one of our partners, A.T. Kearney, on the state of human factory analytics, and the above quote was submitted from an anonymous manufacturing leader.
I couldn’t agree more.
The data we gathered through this research reveals just how critical humans are to manufacturing today. Despite lots of chatter in the media and at industry events about robots, cobots and other emerging forms of automation, respondents told us that 72 percent of tasks in the factory are performed by humans.
And yet, the analytics from tasks performed by humans are incomplete and inaccurate. Time and motion studies, which were introduced in the early 20th century, are still the industry standard for capturing data on activities the human labor force completes.
Think about what that would look like in any other industry:
The idea that technology would stop evolving for more than 100 years seems ludicrous, but when it comes to human factory analytics, that’s basically what’s happened. Stopwatches may be replaced by smartphones; grid paper may be replaced by Excel, but the mechanics of time and motion studies – and the value of the data they yield – hasn’t evolved.
It’s time for a new technology to take the place of time and motion studies, a technology that can truly drive digital transformation that extends to the last analog frontier – humans.
Incomplete data is driving strategic manufacturing operations; read about the risks in the full report.
