anyLogistix in Europe: expanding our physical presence

... anyLogistix regularly organizes educational and practical online events tailored for new and experienced software users. By running events in different time zones, we ensure that you have access to the latest supply chain management and optimization trends no matter where you are. Traditionally, there have been many workshops and training sessions in European time zones. Coming up in November, we will have an anyLogistix workshop for the academic community and, in December, an intensive training course ...

anyLogistix 3.0: advancing supply chain design & optimization

... You can just drag-and-drop scenarios to import them. As easy as it sounds: Dragging and dropping scenarios in anyLogistix 3.0 In anyLogistix 3.0, you can also work on other projects while one of your scenarios is importing in the background. There’s no need to wait for it to go on with your work. Dashboard You can export data from your project to an MS Excel file. There are two options for how you can export statistics from experiment results: either as raw or plotted data. The first option exports ...

anyLogistix 2.15—database import/export and more

... cost and product volume, or any other two related parameters. Piecewise linear graph in anyLogistix New Example Models SIM What-if Scenario Comparison shows how to analyze a baseline scenario against a what-if scenario using the Comparison Experiment. NO DC Minimum Storage Amount (with Indicator Constraints) explains in detail how to use the combination of Custom Constraints, Indicator Constraints, and Linear Ranges. Other Ability to run experiments from the command line for IT system integration and ...

Food logistics network optimization in action

... anyLogistix Greenfield Analysis (GFA) to test potential locations for new distribution centers (DC). They also used it to check the actual locations against demand density in different regions. In addition, the company utilized Network Optimization (NO) to configure optimal demand handling over the planning period. They made specific changes, such as adding new DCs and adjusting inventory policies in alignment with food logistics needs. These adjustments contributed to a possible reduction in ...

AI-driven risk management in FMCG supply chains

... built a supply chain digital twin for a fast-moving consumer goods (FMCG) company that sells personal care products. CHALLENGE: Supply chains for consumer-packaged goods (CPG) are typically very complex, and the supply chain in question is no exception. It is comprised of factories, warehouses, hubs, and distribution centers all over India. The performance of the supply chain is characterized by considerable variability, including: Demand variation Transportation ...