In addition to the many new features and updates, anyLogistix Studio introduces streamlined extension development. Now, with a fully integrated AnyLogic modeling environment, supply chain professionals have easier access to a complete, customizable and extensible supply chain development and analysis tool. Read on to find out about extensions ...

... relation to the supply chain. Network Optimization Feasibility Check On starting the Network Optimization experiment, anyLogistix checks if the experiment can be solved. This saves computing resources, and suggestions help resolve run-time problems. Extensions Manager anyLogistix extensions can now be added, enabled or disabled, and deleted easily. Extensions can also be selected for modification and automatically opened in AnyLogic. Extension Templates A set of pre-configured extensions are now ...

In a major new release, anyLogistix sets a new standard for supply chain software with anyLogistix Studio. Read on and discover what is new. 1. NEW EXTENSIONS MECHANISM — CREATE YOUR SUPPLY CHAIN DIGITAL TWIN anyLogistix Studio introduces streamlined extension development with a fully integrated AnyLogic modeling environment. By integrating with AnyLogic, ALX provides you with the ability to ...

... learn how to optimize a network with a backwards product flow, such as return of packaging for recycling. New advanced tutorial – Transportation Cost Calculator . See how you can customize default cost calculators in anyLogistix Studio using AnyLogic Extension Editor and Java code. The tutorial links to the reworked Transportation Cost Calculator extension template. You can now find the templates (.alp files) of the extended objects that are used in example scenarios in the software installation folder....

... anyLogistix Studio and anyLogistix PLE are available for manual download . Key changes in anyLogistix 2.9.1: Brown field capabilities for the Green Field Analysis (GFA) experiment The GFA experiment with brown field capabilities allows the redesign or extension of existing supply chains to include new facilities and customers. This means, for example, an existing distribution center is considered, while new facility locations, for network expansion, can be explored using the experiment. Time windows ...