... including: ITC Infotech, McKinsey & Company, PT Samudera Indonesia Tbk, PwC, Tata Consultancy Services, and Wipro. Attendees at the events focused on: how to use supply chain data effectively, best practices in logistics management, and the development of a digital twin to cover operations from end to end. These advanced techniques for solving supply chain issues demonstrate why it is essential to use network optimization and dynamic simulation together when designing digital supply chains. The theory was backed ...

In this webinar, you’ll learn why traditional analytical inventory tools often fall short and how simulation‑based optimization and digital twins in anyLogistix can help you overcome stockouts. Explore how to compare policies, test scenarios, and build robust inventory parameters that perform reliably under real‑world uncertainty.

... 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....