![]() A how-to video that shows how to easily import walls from a CAD drawing into an AnyLogic simulation model. We took a step back and decided to create a separate presentation layer over what we had built. At this juncture, the work we did to make the switch to toggle between as-is and to-be scenarios and view areas, that I learned in the AnyLogic in 3 days book, was to become the base of our presentation layer. This is a practical textbook on AnyLogic simulation software from its developers. Suppose agents in one of the streams are of type Passenger and in the other Baggage, both types have field id. It means any two agents match, so the Match block works as a pure stream synchronizer: it will output pairs of agents. While creating the switch, we didn’t use a button control as it looked very basic. The queues can be fully customized (timeout, priorities, preemption, etc.). Instead, we used images of the two states of a toggle button, i.e., on and off. We used programming to hide and unhide the images. E.g., When the model starts, one will see the toggle button image in the off state, but when you click on the image, the off-state image is set to invisible, and the on-state image will become visible and vice versa. ![]() Anylogic is written in Java and turns models into Java AnyLogic offers lots of ways to insert snippets (hooks) of Java code You will need these if you want to e.g. We again used this logic to hide and unhide in creating a high-level overview of the overall process. Push AnyLogic outside the envelop of its typical support e.g. This is the final stage of a tutorial how-to model that covers all the main features of Material Handling Library. We created slides of as-is and to-be scenarios, each containing only the essential sub-processes. Assembling the battery by placing the electrode groups inside the case with the help of an. Wrapping of electrodes in the special envelopes and assembling electrode groups. Transferring the batches to the drying chambers by the forklifts moving in free space. We then saved these slides as images to be used in the model. Pasting of the electrodes and collecting them into batches. Then, we created motion paths to let the orders move over the images of sub-processes to give them a progressive motion feel. Then we surrounded the high-level process view images with panes containing charts to provide an excellent visual interface. This view was used to display the impact of an AI engine on the process without shooting too many numbers at the viewer. These charts showcased metrics like backlog, orders processed by value ($) and volume, aging buckets, team utilization, cost of operations, etc.
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