... 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 ...

... prepare and publish simulation-based papers in international journals. The objective of the workshop is to share research experience on supply chain simulation and resilience analysis using anyLogistix, to elaborate on the usage of anyLogistix as a digital supply chain twin, and to provide an editor’s view on how to write research papers using anyLogistix. All participants receive certificates confirming their completion of the workshop. Workshop Speaker Prof. Dr. Dr. habil. Dmitry Ivanov (Berlin School of Economics ...