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Solving the Bin Packing Problem in warehousing and logistics – strategy comparison


Solving the Bin Packing Problem in warehousing and logistics – strategy comparison

When packing a container, every square inch of empty space is a money loss – either for you or your company. In warehousing and logistics, filling a container with items as tight to each other as possible to reduce the number of containers is a big deal. Decision Lab took it upon themselves to identify what techniques would help make packing quicker and more efficient. Read to learn more about the project and its results.

New anyLogistix Studio Edition


New anyLogistix Studio Edition

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.

anyLogistix 2.6 and Free Version Released


anyLogistix 2.6 and Free Version Released

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.

Effective Disaster Preparedness and Response


Effective Disaster Preparedness and Response

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.