How to Use Hyperscaling to Take Supply Chain Models to the Next Level
Unpredictability and disruptions are on the rise when it comes to the overall industry supply chain. In recent years, global events like COVID-19, port congestion, and the Russia-Ukraine conflict have tested the resilience and flexibility of our supply chains. Unfortunately, we’ve learned the hard lesson that our supply chains were not prepared for the risks of today (let alone those of tomorrow). As a result, companies have lost trillions of dollars in lost revenues - many of whom have completely closed their doors. While you can’t control major disruptions, you do have the power to increase the understanding of your supply chain, which will lead to better resilience. That’s where hyperscaling technology comes in - allowing organizations to spin up hundreds of thousands of user-configured resources (CPU and RAM) to run models and scenarios in parallel. This enables people to run sensitivity analyses and what-if scenarios to have a book of strategies at the ready should something need to be done to overcome such disruptions.
Many companies are shifting to hyperscale cloud computing for its speed, reduced downtime losses, easier management, and more. Hyperscaling enables users to ask more what-if questions so that they can get more accurate answers, faster. That means more time to actually pinpoint the best strategy that fits your needs, in regards to financials, service, and risk.
What if I introduced three new suppliers? What if raw materials increase? What if there’s a pandemic that shuts down facilities? What if there’s a driver shortage? What if 1 or 2 or 3 or 4 of these things happen at once? What is the tipping point when I need to open new facilities? What is the best strategy that fits my needs pertaining to financials, service, and risk threshold?
Optilogic + Hyperscaling Technology
Our 100% SaaS platform runs on Microsoft Azure and uses hyperscaling technology to run hundreds or thousands of models and scenarios in parallel. By leveraging Microsoft Azure and Kubernetes framework, Optilogic enables users to run more models and scenarios in parallel than ever before. This is game-changing for the industry supply chain, reframing how Supply Chain Design is performed.
Combined with Optilogic’s solution and hyperscaling capabilities, users can gain full control of their data. We enable users to hyperscale scenarios directly in Cosmic Frog or automate model/scenario runs via prebuilt APIs that give our users full control to schedule concurrent model runs from the Optilogic Platform (or in a deployed application). This allows businesses to democratize decision-making by enabling others to make decisions powered by insightful optimization, simulation, and risk engines through our simple web application.
Best of all, no IT required! Gone are the days when you have to make an IT request to obtain a powerful machine to do supply chain design. You don’t need to spend thousands on hardware for a single machine that becomes outdated in a year or two. We’ve unlocked our technology so that in a matter of seconds you can kick off thousands of concurrent scenarios to quickly solve for optimization, simulation, or risk problems in the time it takes to solve one.
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About the Author:
Rebecca is the VP of Product Management within the Engineering organization at Optilogic, focused on the Optilogic product stack. She also leads building out the Solution Design team within the Sales organization. She has a passion for Supply Chain Design, technology, and helping customers reach their highest potential (and have fun along the way!).
Prior to Optilogic, she worked at LLamasoft for 10 years as the Product Manager of Supply Chain Guru and led a team in Solution Design, focused on building tailored solutions for customers to meet exactly their needs. Being a part of the company from its early stages, she had the opportunity to work on hundreds of projects across retail, CPG, automotive, oil and gas, food and beverage, 3PL, high-tech and federal industries.