anyLogistix 3.2.1: shipments, examples & API updates

... simulation experiment Have you ever faced delays because a complete order wasn’t ready to ship? Partial shipments functionality for the simulation project allows you to split orders during the processing phase when the full quantity isn't available. No more waiting for the entire stock to fulfill an order. The splitting of orders can happen multiple times based on the set ratio you define, ensuring that your shipments are as flexible as your needs. How it works Say you're in the fast-moving consumer ...

Supply chain planning for German materials firm

... SimPlan chose anyLogistix for supply chain planning due to its advanced capabilities in simulating and optimizing complex networks. anyLogistix enabled SimPlan to run multiple optimization scenarios and evaluate different network configurations. No other tool provided such level of insights into logistics costs, production flows, and regional service levels. With anyLogistix, SimPlan was able to identify cost-effective scenarios and eliminate inefficient ones. OUTCOME: SimPlan conducted ...

anyLogistix 3.3: KPIs, table grouping & visualization

... several lines, allowing you to fit more information neatly in line. KPI metrics with the ability to compare with other runs Custom data display in analytical experiments Transform how you view and analyze data in your analysis experiments . You are no longer limited to predefined table formats; now, you can select any specific value from these tables and display it independently on your dashboard. Combine multiple values into a single chart for a comprehensive visualization of your data. This enhancement ...

Unleashing the power of anyLogistix: video recap

... Configuring a supply and distribution network Decisiones Logísticas analyzed alternatives to configuring a Colombian food company's supply and distribution network using anyLogistix software to perform Greenfield Analysis (GFA) and Network Optimization (NO) experiments. The project included characterization, modeling, and implementation stages. The main findings focused on production volume allocation and flow from plants. Other results suggested opening new distribution centers, reallocating customers,...

Supply chain cost optimization: what you need to know

... decision-making . Analytics for supply chain cost optimization Companies seeking to reduce supply chain costs effectively need to gather, measure, and evaluate historical, present, and forecasted performance using supply chain analytics . There’s no other effective way around it. Predictive and prescriptive analytics combined is a powerful tool for cost optimization. Predictive analytics gives insight into what will happen in the future and helps identify risks and opportunities. While it alerts ...