In a major new release, anyLogistix sets a new standard for supply chain software with anyLogistix Studio. In addition to the many updates and new features, anyLogistix Studio introduces streamlined extension development. Now, with a fully integrated AnyLogic modeling environment, supply chain professionals have access to a complete, customizable, and extensible supply chain development and analysis tool.
Here is a summary of the update.
How McDonald's managed change with the help of HAVI and simulation modeling. A case study with presentation video.
As the largest restaurant chain by revenue and second by number of outlets, McDonald's is a market leader. To maintain its market success, the company pays close attention to customer preferences and regularly updates its menu. Small changes can have many knock-on effects, here we investigate their management.
Version 2.7 of our supply chain management software is now available. It has many new features to enhance supply chain modeling and innovation, as well as ease usability. Have a look at these new features in our animated illustrations.
If you are new to anyLogistix supply chain software, you can try it for free with the personal learning edition (PLE).
There is also a free e-book for you to learn more about building, simulating...
Tue, Oct 10, 2017 - Join us for a webinar featuring the Rail Library, one of AnyLogic’s industry-specific libraries.
AnyLogic’s Rail Library allows you to efficiently model, simulate and visualize rail yard and rail transportation operations of any complexity and scale.
The webinar will detail how to build a railway network, including yards, and highlight features useful for your future rail modeling projects.
anyLogistix 2.6 is released! The newest version of supply chain design and analytics software includes new features, experiments and example models. Plus a FREE Personal Learning Edition is now available for education and self-teaching. If you’re new to anyLogistix, we’ve provided simple example models that will teach you how to design and conduct experiments. Also, check out the help section with product documentation and multiple tutorials.
Rapid and efficient response will always have a positive effect during and after any disaster. Natural and man-made events have increased in number and severity and adding new tools, technologies and simulation models to existing national preparedness systems improves resource coordination at the community level.
A group from George Washington University completed a project to study the critical nature of designing an effective response team including the decision-making challenges in which a response manager must evaluate hundreds of possible combinations while taking design configurations into account.