COVID-19 has moved supply chain management from the back office to front-page news. And along with it, the discipline of supply chain design – the strategic evaluation of deciding where to locate manufacturing sites, warehouses, and other supply chain facilities – has gone from a little-known niche to a C-suite priority.
In this talk, I will introduce the ways that analytics is transforming supply chain management, and how open-source languages like R and Python are changing the paradigm of supply chain analytics. I will give a short example of how a manufacturer can design its supply chain network and understand tradeoffs. This example will be drawn directly from my experience in the corporate world and my consulting business.
I will also briefly discuss the mathematics behind supply chain network design - mathematical optimization and operations research.
Ralph Asher is the founder of Data Driven Supply Chain LLC, a Twin Cities-based consulting firm that uses data science and AI to evaluate, design, and optimize supply chains. (www.datadrivensupplychain.com)
Prior to founding Data Driven Supply Chain, Ralph worked as an Operations Research Scientist in corporate supply chain functions for 8 years at Target, designing e-commerce supply chain networks, and at General Mills, designing warehousing networks.