AnyLogic 9将是一个重要的更新，会议期间，AnyLogic公司CEO Andrei Borshchev、首席软件工程师Nikolai Churkov和AnyLogic云开发主管Alexander Rakulenko透露了许多新的细节。
Let your car drive around as a taxi when you are not using it says Tesla. While Waymo offers taxis without drivers to residents of Phoenix, AZ. Seemingly significant changes to the ways we make journeys are already underway and big business is involved, but what will their impact on our surroundings be?
A recent paper uses simulation modeling to investigate...
You won’t hear any apologies from the AnyLogic developers about needing to learn some code to get the most from AnyLogic simulation modeling. The fact is, a little upfront learning makes model development faster and simpler in the long run. But, if you are new to the software, how to get this training?
Andrei Borshchev recently sat down with Sim Talk podcast host, Jacob Ingalls, for a wide-ranging discussion about AnyLogic and simulation modeling. Here is an overview and link to the podcast.
The podcast discussion begins by providing insight into the state of dynamic simulation in the late 1990’s and early 2000’s, giving detail to how AnyLogic began and how it changed the scene with agent based modeling. Read on for the summary and podcast link.
In this blog post, we take a look inside an AnyLogic air maintenance model and reveal how it works. The aim is to improve your skills in the development and analysis of models, to teach AnyLogic's advanced capabilities, and also to show how simulation modeling is applied in different areas of business.
Using the Airlines Fleet model as an example, we will look at how agent-based modeling helps to analyze and plan maintenance.
UDES is designed for teaching the complex nature of city interactions, and also a method for representing them – agent based simulation.
It is an excellent example model, accessible to all, with both interactive and customizable elements. Let’s take a closer look…
Traditional Marketing Mix models attempt to explore the tradeoffs amongst different marketing channels and the spends associated with them. The weaknesses of these models are, generally, their static nature and the restrictive assumptions required to apply their results. For these reasons, an American pharmaceutical company, one of the largest in the world, engaged with Sterling Simulation to explore the benefits of agent-based modeling, prior to launching a new product. The use-case was presented by Scott Hebert, Vice President of Sterling Simulation at the AnyLogic Conference 2015.
The military aircraft maintenance turnaround process is highly complex and includes multiple interacting and parallel workflows between humans and machines. Lockheed Martin, one of the largest companies in the aerospace, defense, security, and technologies industry sought to improve decision-making in regards to the complete turnaround process and to identify process changes that could be implemented to reduce turnaround time. There are two distinct features unique to the project. One being the use of AnyLogic to model people, machines and workstations, and how they interact, which identified previously unknown workflow peculiarities. The second, a portable Android tablet application developed and tested by the team for workflow authoring and data collection that provided the input data to the process simulation model.