Have you ever designed a digital supply chain? If yes, then you know how complex this process might be. Miss just one important element and your supply chain model will fail to deliver accurate results. What to do? In this webinar, our partners at SimWell in North America demonstrate 3 key tips and tricks that make ...
Onshoring a supply chain for resiliency and sustainability is a strategy worth evaluating, but how to do this effectively? The COVID-19 pandemic, trade-wars, and sanctions are making the question more urgent. North American simulation supply chain specialists, SimWell, answer this question and more in their webinar Evaluating Onshoring Strategies with Network Optimization and Simulation. Onshoring a supply chain for resiliency and sustainability is a strategy ...
... for their optimization and risk management — helping reduce logistics costs and improve customer service levels. The 2020 MHI Annual Industry Survey reports that 30% of supply chain managers use predictive analytics and that of the companies not using it, 57% plan to begin in the next five years. Companies are using supply chain predictive analytics for: Supply chain design — for performance analysis and decision support when planning and optimizing a supply chain network Master planning ...
... you can benefit from the new features: Simulate and compare freight shipping methods , including: LTL and FTL policies Push policy - for shipping products on schedule or inventory overload Pending orders policy - to limit warehouse order storage time. Now distributors, 3PL providers, and other companies which use various shipping methods can combine them within a transportation model and test their efficiency against each shipment. Calculation of vehicle ownership and operation costs. The metric enables ...
... whitepaper → WHAT IS ANALYTICAL OPTIMIZATION IN LOGISTICS? Analytical optimization tools, such as those employing mixed-integer and linear programming solvers, are ideal for solving large-scale high-abstraction logistics problems. These problems do not usually require very detailed modeling but can be data-intensive. A few challenges that can be resolved using analytical optimization: Supply chain design Where to locate facilities What their throughput should be How to arrange product flows Master ...