[Target Tech] BigDataFr recommends: Utilizing machine data from robots #datascientist #machinelearning #analytics

BigDataFr recommends: Utilizing machine data from robots to provide data driven insights and decisions

« One important part of a retailer is their supply chain network. In order to sell a product in our stores, or online at Target.com, we need to have a well run and maintained network to move all of those products from one place to another. It may not sound like a complex problem to ship products from a distribution center to a store, but as soon as you start to have multiple vendors with multiple stores (not to mention online orders that go directly to a guest’s home) it becomes increasingly complex. Retailers get products from companies, referred to as vendors, and then distribute the products to stores through central locations, referred to as distribution centers (DCs).

In order to improve throughput of our supply chain network we expand our distribution network by building new distribution centers or we increasing the efficiency of the current network. A great way to improve performance of a DC is to put robots and other automation equipment in it. High tech equipment like this requires high skilled labor to maintain and manage the equipment. These highly automated systems run on servers and other control equipment and they produce a lot of machine data that can lead to valuable insights.

Robotics has always been an interest of mine, starting with my experience in high school with the FIRST Robotics Competition and continuing today as I volunteer with FIRST. When I first joined Target right out of school with a degree in Electrical Engineering my curiosity and interest in robotics led me to get to know some of the engineers who worked on the robotics systems within Target’s DCs. » […]

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BY Alex Sneed Miller, OF Target Brands, Inc
Source : http://target.github.io/analytics/robotics-analytics/

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