... experiments as you need, with updated data. Scenario DB import/export combined with experiment result post-processing sets a foundation for easier integration with data storage and analytics systems within a company, as well as for building supply chain digital twins. The supported database engines are SQLite, SQL Server, PostgreSQL, and MySQL. Databases available with anyLogistix Network Optimization Modeling Improvements Feasibility-Check in Custom Constraints . Some Network Optimization scenarios may be infeasible ...

... SimWell extracted data from multiple databases, including manual inputs and electronic databases. The tool structured information and prepared it for use in anyLogistix. Read also: To learn about data integration, read our blog on building a digital twin with anyLogistix API. Custom constraints The consultants addressed unique business constraints using Big M and mathematical formulations in anyLogistix. The Big M method is a linear programming technique for handling constraints ...

... transportation costs and growing complexity. Manual data handling and limited expertise made it hard to manage and scale distribution network design across 12 countries. Solution: Together with Phoenix Analytics, they built a digital twin of their supply chain. Through SQL-based automation, teams could generate and run scenarios quickly, supporting a scalable and data-driven supply chain project. Results: Scenario creation time reduced from days to minutes....

... of agility is planning for different scenarios. With approaches like simulation , companies can test out “what if” situations—like a supplier going offline or a sudden demand spike—and see how their supply chain responds . Technologies like digital twins, AI, and optimization engines help make this possible. A digital twin is a virtual version of a real supply chain, where you can run tests without risking real-world disruption. Discover more in our blog post → Collaboration tools can also help ...

... reduce their carbon footprint but also minimize supply chain costs. INNOVATIVE APPROACHES FOR GREEN SUPPLY CHAIN MANAGEMENT Innovative technologies and policies are shaping the future of transportation planning in supply chain management. For example, digital twins enable companies to create virtual replicas of their supply chains, allowing for better monitoring, prediction, and optimization of operations that bring benefits of green supply chain management. Meanwhile, easier ways for CO2 emission calculation ...