I will also add in the model some ways to measure the performance of the process, because you cannot control something that is not measured.Reinforcement learning is a rapidly developing branch of machine learning. In the next articles, I will bring this model to the harsh reality faced daily on the shop floor, gradually adding some of the most common difficulties encountered during the manufacture of products. The intention here was to observe the behavior of the queue over time. This is the only concession to the intention to model this process perfectly. That is, it does not mean that the raw material is delivered every 1 constant minute. For example, if the rate is 0.2, the intervals will have average values of 1/0.2 = 5 units of time (.) the time interval is determined by an exponential distribution parameterized with the given rate. Rate: Used to schedule sporadic state changes with a known average time. According to the documentation, Rate is defined as: This happens due the fact that raw material availability is given at an average rate of 1 part per minute. The machine cannot process all the flux of parts coming from the source block. Note that, during the simulation, a small queue of parts (raw material) eventually occurs. Thus, once a certain stage of the process performs far below ideal, actions can be taken to verify and correct whatever is necessary. Such reasoning (ideal x real comparison) can also be taken at each stage of the process, in such a way that it is possible to score the performance of each stage individually. That is, it represents the maximum performance limit to which the process must be optimized. Although excessively idealized, it allows establishing benchmarks when compared to a real process. This process was modeled to represent a perfectly balanced process, which would be the goal of every production manager. They indicate the movement of items at the entrance, inside the block and at its exit. Observe the variation of the numbers next to each block. Start the simulation by clicking on the Run button. It is possible to start, pause, interrupt and adjust the speed of the simulation. Start the simulation by clicking on the Run Simulation button on the toolbar (or press F5) The modeling of this simplified process is done. The sink block is used to indicate the end of the process Set the Delay Time property to 1 minute ĭrag a sink block next to the delay block. The delay block will model the machine responsible for processing the raw material into a final product. Set the Capacity property to 50 ĭrag a delay block next to the queue block. Note that they are automatically connected. Set the source block's Arrival Rate property to 1 item per minute ĭrag a queue block next to the source tile.

Start by dragging a source block to the desktop We use the blocks available in the Process Modeling Library palette to model this process. Assign a name, such as: des01 Ĭhange the time unit from seconds to minutes.

There are no transportation restrictions, either from raw material to the machine, or from finished products after the machine's production ĭimensions and weights of both the raw material and the finished product are not being considered Ĭreate a new model in Anylogic. There are no variations in the raw material supply capacity The quality of the raw material and the finished product after being processed by the machine are always considered ideal. The energy supplied by the electrical network remains stable and capable of meeting the machine's operation

The machine does not require repairs or adjustments during the entire production. There are no variations in the machine's production performance (due to wear of tools or parts). There are no delays in loading/unloading parts on the machine Likewise, as soon as the raw material is transformed into a finished product, it's immediately transported to the stock. Once the raw material approaches the machine, it's loaded instantly for processing.

Anylogic simulation examples