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A comprehensive Supply Chain Design process that combines optimization, simulation and risk assessment will help you understand the weak-links in your supply chain, and to quickly analyze alternatives when there are profound cost fluctuations or disruptions.
An effective supply chain structure (or architecture) enhances a network’s inherent ability to resist the negative impacts of supply chain disruptions. Because supply chains are generally large and complex, they have posed a challenge to effective planning and decision making, especially when unexpected disruptions occur. This challenge ushered in an era that leaned heavily on computers and complex software to provide decision support capabilities.
Before we can prepare for what’s next, we first need to understand the past. The importance of supply chains pre-dates us by as much as two and a half millennia! Ancient philosophers and tacticians (like Homer and Sun Tzu) wrote about “supplies” and “logistics” and how those impact military campaigns, political aspirations, and other outcomes.
By now, we’ve all either heard of or personally experienced the impact of the global chip shortage. But how did our automotive supply chain get to this distressed state? In the simplest of terms, what we’re seeing is the result of strong demand with essentially no supply. This concept is nothing new. In fact, supply chains can be specifically built to withstand shocks to the system. However, the pandemic was something that our supply chain simply wasn’t prepared for, and we’re still feeling its impact, two years later. Here’s what you need to know.
The day-to-day at Optilogic is constantly changing (and fun), and the way that users implement our software has continued to surprise and inspire us. In a recent project, we built out an application that combined both demand analytics and optimization for short and long term supply chain development.
Recently the Optilogic team has been running into projects that require simulation or a combination of simulations and advanced solving techniques to properly address customer questions about their supply chains. Here are our thoughts on why simulation is becoming more common as a modeling tool than in years past, and how it can make a major impact on any business.
I was listening to Jonathan Wright, Global Managing Partner for Supply Chain Consulting at IBM – discussing with Malcolm Gladwell on his podcast Managing supply chain volatility in the height of the shopping season the latest evolution of supply chain innovation spawned by the global pandemic. And it got me thinking…
Figuring out which Mixed-Integer Programming (MIP) solver to use can be difficult. You may be thinking, do I really need to scale or can I get by with open-source solvers?
Science = art. Both are well crafted, full of meaning, and clean in design. And modeling is the perfect combination of art and science. It is both wildly creative and filled with patterns in nature. But what exactly is modeling?
We’re thrilled to announce that we have upgraded our platform and have partnered with Gurobi, the world’s fastest mathematical optimization solver on the market. By joining forces with Gurobi, the Optilogic platform now offers a complete end-to-end solution for high-fidelity modeling, optimization, and deployment.
