Bullwhip Effect Quantification and Demand Variability Estimation

... of inventory plans, sourcing policies, and demand variability when even small events can cause significant disruption. With simulation modeling it is possible to capture business processes and operations across multiple tiers to create a supply chain digital twin that can quantify the bullwhip effect. With the anyLogistix (ALX) supply chain design and simulation tool you can account for the bullwhip effect in your network, identify its causes, test different scenarios and find the best mitigation policies....

Supply Chain Risk Management Software

... simulation in ALX allows users to test multiple network or policy change scenarios to increase the supply chain resilience and define contingency plans. Data reflecting the status of a supply chain can be fed into a simulation model to create a supply chain digital twin. This enables quick and informed decision-making when it is needed most — as a situation is developing. With ALX, supply chain risk mitigation is achieved not only with planning but also through effective response. Learn more about how simulation ...

ALX in Bangalore – Report and Materials

... 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 ...

anyLogistix 2.15—database import/export and more

... 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 ...

Transportation optimization: 3,700% ROI with a freight planning tool

... 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 ...