anyLogistix 3.4.2

Description

anyLogistix 3.4.2
 

anyLogistix 3.4.2 | Supply Chain Optimization, Simulation & Digital Twin Software

anyLogistix 3.4.2 is a comprehensive supply chain analytics platform that combines analytical optimization with dynamic simulation to design, optimize, and analyze complex supply chain networks. It enables companies to create digital twins of their supply chains for strategic planning, risk mitigation, inventory optimization, and last-mile delivery efficiency .

Core Functionality Overview:

  • New Cost to Serve Experiment: Enables detailed analysis of customer and product profitability across the supply chain, tracking cash flow dynamics, payment terms, and financial performance to identify profitable products and customers while optimizing margins .

  • Network Design & Greenfield Analysis: Determines optimal facility locations, multi-echelon network configurations, and supply chain master planning using the IBM ILOG CPLEX® solver. Converts analytical results into dynamic simulation models for deeper analysis .

  • Supply Chain Risk Mitigation & Digital Twin: Simulates disruptive events (supplier failures, demand surges, disasters) to stress-test supply chains, quantify risks, and develop contingency plans. Integrates with existing ERP, MRP, and WMS systems for real-time data-driven decision making .

  • Transportation & Last-Mile Optimization: Plans efficient milk runs and delivery routes considering fleet availability, facility operating hours, and time windows. Visualizes delivery performance on GIS maps with detailed metrics on distance, travel time, costs, and CO2 emissions .

  • Inventory Optimization & Safety Stock Estimation: Uses simulation to handle real-world randomness, find optimal product stock volumes, and balance service levels with cost-effectiveness. Prevents bullwhip effect by aligning policies across the entire supply chain .

  • Enhanced Analytics & Visualization: KPI metrics with standalone objective members in dashboards, improved results comparison dialog, multilevel data grouping, and map-based animation for model transparency and credibility .

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