Kathryn is an Engineering Analyst with Johnson & Johnson, one of the country’s largest medical devices, pharmaceuticals, and consumer goods manufacturers. Based in the medical devices division, Kathryn is responsible for testing and analyzing the supply chain, both internally and with vendors. Working with a startup mentality, Kathryn’s team aims to improve the cost and speed without sacrificing quality.
Transcript
My name's Katherine Ivey, and I work at Johnson & Johnson as an engineering analyst in the supply chain. We do quick test and learns, we do process improvements. We're really trying to function as a startup within a 120-year-old conglomerate of Johnson & Johnson trying to, I guess, realize success a little bit quicker without having to deal with a lot of overhead. If there's a really lengthy logistics process, or we have a vendor that isn't performing, time is money, and they're taking way too much time to perform a task, we'll start to look at how can we integrate a different technology or process for it. So well, the first step is actually ideation. So, we'll collect any sort of problem statements, business cases, use cases from our business, and we will analyze that problem statement. We'll look at the who, what, when, where, why? We'll ask the questions, and before we begin solutioning, we'll try to actually identify what's really causing the problem. Once we identify that problem, we start to look at what we need to do to improve it. So, if it's a quick process improvement, we'll take a look at that. If the process isn't performing, we'll deal with that. If it's an actual vendor that we're working with, we'll start to look at the vendor themselves, what they do and, see if there's any competitors in the area who are cheaper, faster, better, and we'll start to do a market scan and analysis on those vendors. If we identify a vendor, we'll start to talk to them, we'll do deep dives, demos, and then we'll begin to talk about how we can do really low-cost proof of concepts and test and learns, because since we are a startup, we wanna make sure it's quick and cheap. Once we do that, if we've proved out the value of the test and learn, or proof of concept, we'll start to talk about how we can bring it into production in that area or space.
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