Machine Learning and Data Driven Labor Standards

Posted On : Nov 8, 2018

Advancements in technology have given us access to new methodologies that before were too burdensome for computers to work with. “Machine Learning” and “Big Data” tools allow us to process volumes of data that 10 years ago could not be handled. In the world of industrial engineering, this has given rise to a different way of calculating Engineered Labor Standards, which are called Data Driven Standards. With a click of a mouse, you are able to calibrate a labor standard, whereas with traditional engineering methods it would take tens of hours of observation, study, and engineering to arrive at the same result.

This month’s white paper explains how machine learning and big data can be used to develop and maintain your labor standards. It points out both the pros and cons of the methodology. Over time you will see machine learning for standards engineering incorporated as a powerful tool set. I highly recommend downloading our white paper on the topic.

Cookies are important to the proper functioning of a site. We take your privacy very seriously. To improve your experience, we use cookies to collect statistics to optimize site functionality, and deliver content tailored to your interests. Click Agree and Proceed to accept cookies and go directly to the site or see our privacy policy for more detail.

OK