Last year a teacher asked me how to simulate public bus transportation, so I created a small sample model of a bus line in Nantes (France). Although all input and output data in the model are labeled in French, I thought that it could be nice to share it here with the worldwide community as 3D visualization is a universal language. Here is the model updated for FlexSim 2023: public_bus_23_0.fsm To set the travel times between the bus stops, and the stop times, I used the bus timetable that was available online in this document: Depliant-L-95-Web-2e.pdf You can check in the simulation if your bus arrives on time: Among the parameters, you can set how many buses are available at each terminus at the beginning. Be careful, if you don't have enough buses, you will not be able to stick to the timetable ! The road is built with network nodes. A checkbox allows you to show/hide the map. A listbox allows you to switch between the 3 network view modes (all details shown / edges only / hide all network).

Requirements FlexSim 25.0 or later (found in the downloads page) NVIDIA's Omniverse USD Composer Background Historically, users have used USD Stages in FlexSim to create a live connection with an Omniverse application to be able to simulate animations in Omniverse. However, this relies on a live connection between FlexSim and Omniverse. Sometimes this type of connection is sub-optimal for a user's situation. This article will explain a workflow for writing animation data to a USD file to play in an Omniverse application independent from FlexSim. Disclaimer All the data we record during this example is meant to help us write meaningful data into a .usd file so we can generate an animation in USD Composer. When I say "animation", I mean positional and rotational data along with showing/hiding flowitems. If you want to see Operator Skeletal Animations, I'll post a similar article with a few tweaks later to showcase how to do that using USD Composer's Sequencer, which uses Tracks and Asset Clips to handle small-scale skeletal animations. Example Model I've built a sample model demonstrating the changes to the USD API and how to use them. This example model is just one way to use the API -- there are other ways that users are free to explore. example_model.zip Explaining the Model When you open the model, you'll see a few different windowpanes. In the top-right corner, you'll see a Global Table. If you reset the model, you'll see column headings appear. Each column is a different piece of data we'll be writing to the USD Stage. Each row is a different entry of data to write. In the center views, you'll have a 3D view on the left side and a Process Flow (PF) on the right. At the bottom, there's a script window with a few lines of code. Those lines of code are User Commands I defined to summarize the functionality they encapsulate. The 3D View In the 3D view, you should see some queues, processors, operators, and conveyors. This is a simple workflow where items come into the queues, operators move them into the processors for processing, and then the operators send them down the conveyor lines. With this model, we'll demonstrate (1) operator movement and (2) flowitem movement on conveyors. Setting Up the USD Stage There should be a "USD Stage1" present in the model. If you click on the USD Stage, its properties will appear on the right-side of the screen. In it, you'll see a blank edit field. This is where you put the path to the USD file you want to work on have appear. If you want to save a fresh one, while the edit field is blank, click the "Save" icon next to it. Once you select where you want to place the file, name it, and close the file explorer popup, the edit field should populate with the full path to the .usd file. For more info, you can check out the docs page on the USD Stage object. Viewing the Model in USD Composer Once you've saved your USD Stage, you can open the .usd file in any software that can view .usd files. For this demonstration, we'll be using NVIDIA's Omniverse application which as a USD Composer module. The Process Flow Open up the Process Flow tab to view the simple setup. I'll walk through each part of the PF to give you an idea of how it works. Operator Movement This block of PF is in charge of recording information about Operator positions and rotations. It records information whenever an Operator starts and ends a task. You can expound on this concept and record information when specific triggers or events happen, but for this example I kept it simple and record when any task happens. User Command: RecordInfoToTable Within the "Record Info" Activity, it calls a User Command to record information to the table. This function simply takes a token as the first parameter. This is what the code looks like: Token token = param(1); // Setup row for this iteration Table animInfo = Table("AnimationInfo"); animInfo.addRow(); int curRow = animInfo.numRows; token.labels.assert("Row", 1).value = curRow; animInfo[curRow]["Object"] = token.operator; animInfo[curRow]["AnimTime"] = Model.time; animInfo[curRow]["TaskType"] = token.taskType; // Record positional and rotational data Object operator = token.operator.as(Object); animInfo[curRow]["PosX"] = operator.location.x; animInfo[curRow]["PosY"] = operator.location.y; animInfo[curRow]["PosZ"] = operator.location.z; double Z = Math.fmod(operator.rotation.z, 360); if (Z < 0) Z += 360; animInfo[curRow]["RotX"] = operator.rotation.x; animInfo[curRow]["RotY"] = operator.rotation.y; animInfo[curRow]["RotZ"] = Z; To summarize: Start by assigning the value of the token (parameter 1) to the local variable "token" We get a reference to the Global Table (AnimationInfo) and add a row for the data we're about to write Record (1) which operator this data is for, (2) what time this is happening, (3) and the type of task they're performing. The task type isn't as important - it's for finer details and debugging if necessary. Then we record the positional data of the operator. We previously saved the "operator" label onto the token, so we can use that and "cast" it to be an Object. We do this because the Object class has a "location" property which holds the x, y, z coordinates of the object. Lastly, we do the same thing with "rotation", except we need to bound the rotation to be a positive number between 0 and 360. To do this, we call Math.fmod() to get the reminder after dividing by 360. If the value is negative, we add 360 to get a positive value. Running the Model If you reset and run the model to the stop time at 200, you'll see the Global Table populate with data. There should be valid data for all the columns except the last 3. The "BoxNum", "EntryConveyor", and "Show" columns are for recording flowitem data. We'll discuss that later. Once you've got data in the table, we can run the User Commands in the script window at the bottom of the screen. They should be: ClearTimestampedData(); return WriteToUsd(); The first one "ClearTimestampedData()" is used to loop through the operators and clear all their time-sampled data. We do this so no old data is used if you change things in the FlexSim model and export new data. The second one "WriteToUsd()" is what reads the Global Table line by line, defines and finds prims, writes time-sampled data to them, and saves the information to the .usd file. View the Animation in USD Composer After running these scripts, you should get a prompt in USD Composer to "Fetch Changes". Fetch the changes. Then, open the Timeline feature (Window > Animation > Timeline). This opens an animation timeline at the bottom of the screen. You can save predefined start and end times for the whole stage using the Flexscript API if you choose. Otherwise, you can change the settings manually in USD Composer. (I've color-coded the image below to help explain the tool.) On the far-left (green circle) is the starting frame of the animation while the far-right (red circle) is the ending frame. The inner numbers allow you to set specific sections of the animation to play. If not set, it will play the whole animation. The top-right value and blue "scrubber" (blue circle and arrow) denote the current frame. When you hit your space-bar (or click the "Play" button), that scrubber should move. The value next to FPS (yellow circle) represents the "Frames per Second" the animation runs at. If you want it to play faster, then you can set it to a higher FPS. Note that this example model is built assuming 24 FPS. There is a User Command "TimeToFPS" that simply multiples the given Model time by a desired FPS, defaulting to 24 FPS. If you want to change that rate, you can set it in the code. Now that we've got the animation timeline setup, hit play and watch the animation. You may need to adjust the animation range to be 850 to 4800 so you can see the movements. Like I mentioned in the Disclaimer, if you want to see skeletal animations in the Operator, I'll have another article explaining how to add that functionality. Add Flowitem Movement on the Conveyor Let's go back to FlexSim and check out the Process Flow again. I have two other containers labeled "Box Movement: Time-based" and "Box Movement: DPs". These flows represent two different ways to record this data: either based on a time interval or based on Decision Point positions. The time-based way can be more accurate, but it adds much more time-sample data than the DP version. Choose one of the versions to test out, open the properties of their Source, and then Enable it. If you reset and run the model, you'll start seeing entries for Flowitems. They'll utilize the last 3 columns of the Global Table to keep track of (1) the Box# they are, (2) the Conveyor they entered on, and (3) whether or not to "show" their prim. Click here to learn more about prim visibility. Run the scripts to export and save the model. Then, fetch and view the changes in USD Composer. Conclusion We've covered how to use some of the new features of the USD API in FlexSim 25.0 to create stand-alone animations in .usd files. We used FlexSim to record and export data to .usd files to then display in USD Composer. You can now play a standalone animation in USD Composer without a live connection to FlexSim.

This article is an updated version of a previous article by @Paul Toone. Thanks to Paul for the original, which you can read here: https://answers.flexsim.com/articles/23118/flexsim-xml-18.html In FlexSim, you can save any tree (including models and libraries) in XML format. There are many advantages to using this capability in your model development, including: Since XML is an ascii/text based format, it increases the utility of using content management and versioning software such as Subversion, CVS, Microsoft Visual SourceSafe, git, etc. to manage the development of a model. These systems automatically track a history of changes to a model or project, and for ascii/text based files, they allow you to see line-by-line change logs for the files, as well as revert line-item changes if needed. With the added benefit of versioning systems comes the ability to develop a model concurrently by different modellers using a much more stream-lined method. No more saving off individual t files from one modeller's changes to a model and loading them manually into the master model. When saving to XML format, if one modeller is working on one portion of the model, only that portion of the model file changes when saved, so when the modeller checks his changes into the versioning system's repository, another modeller can automatically merge those changes into his copy. If there are conflicts, where two modellers change the same part of the model, then the versioning system has tools that allow modellers to easily see in the XML file where the conflicts occur and quickly perform the manual conflict resolution. FlexSim also has the added ability to distribute a single model across multiple XML files. This increases your control over how to manage the model development in your versioning system, and makes conflict resolution even easier. The distributed save mechanism also opens the door for much more automated control of FlexSim. By saving small pieces of your model off into separate XML files, you can auto-regenerate one or more of those XML files outside of FlexSim, consequently changing the configuration of the model for the purpose of running different scenarios. Tutorial This tutorial will take you through saving a model as XML, and how you can configure the distributed save. Build a Simple Model First build a simple example model containing a Source, Queue, Processor and Sink. Save in XML Format Save the model, and in the save dialog, choose "FlexSim XML" from the drop-down at the bottom. Save the model as "PostOfficeXML". Now you've saved the file in FlexSim's XML format. You can view the file in a regular text editor like Visual Studio Code, Notepad++, etc. It's not necessary to know all the details of the file format. In simple terms, the primary tag in FlexSim XML is the <node> tag, representing a node in FlexSim. The node's name is described in the <name> tag, and the node's data, if applicable, is described in the <data> tag. If you plan on doing automated changes, and need a more detailed definition of the xml format, you can refer to FlexSim's xml schema (see the FlexSim install directory/help/MiscellaneousConcepts/FlexSimXML.xsd for more information). Version Management with Git At FlexSim, the development team uses Git to manage collaboration between developers. Part of development includes updating the MAIN and VIEW trees. In a similar way, you can use Git to collaboratively update the MODEL tree. The standard way to use Git is as follows: Set up a remote repository for the project. There are many online services for this, including GitHub, BitBucket, and many others. Each one has different pricing and terms of use. It is also possible that your company already runs a Git hosting service where you could create your remote repository on a company server. Once you have a remove repository, each user "clones" that repository to their local computer. Everyone "pulls" the latest changes from that repository and "pushes" their changes to that repository. To manage pushing and pulling, you can use Git on the command line. However, most users interact with Git through a client. One free one is called Git Extenstions: http://gitextensions.github.io/ By itself, version management is a deep topic. You might consider reading some tutorials to become more familiar with Git concepts: https://git-scm.com/docs/gittutorial https://github.com/git-guides https://github.com/skills/introduction-to-github https://www.atlassian.com/git/tutorials/learn-git-with-bitbucket-cloud Managing Changes with Git Let's assume you have a repository with the model file already in it. Let's make a change by moving the queue and saving the model: Once you save the model, Git can show you the changes you've made. In this case, you can see the spatialx and spatialy in your Git client: At this point, you could commit and push your changes. Others could then pull the changes into the model. Notice that git looks at changes in terms of lines being added and removed. In this case, we removed two old lines and added two new lines. Distributed Save As models get bigger and more complex, it can be helpful to split a single model file into multiple XML files. To do this you create a "FlexSim File Map" file. This is an xml file with the .ffm extension. It must be placed in the same directory as the model's .fsx file, and, except for the extension, must be given the same name as the .fsx file. So, let's create that file. Let's also create a subdirectory to put the distributed files into. Now edit PostOfficeXML.ffm in a text editor. The first thing we'll do is put the node MODEL:/Tools/ Workspace into a different file. This is something you'll probably want to do always if you're using version management. The node MODEL:/Tools/Workspace stores all of the windows open in the model, so if you're editing a model and change or reposition the windows that are open, that will change the model file. For version management this is often just static that doesn't need to be tracked, so we'll have the node saved off to a different file, and then we can just never (or at least rarely) check that file into the version management system. Specify the following code: <?xml version="1.0" encoding="UTF-8"?> <flexsim-file-map version="1"> <map-node path="/Tools/Workspace" file="distributedfiles/windows.fsx" file-map-method="single-node"/> </flexsim-file-map> Save the file map, then go back into FlexSim. Save the post office model again under the same name "PostOfficeXML.fsx". Now look in the distributedfiles directory. You'll see that it contains a new xml file named windows.fsx. This xml holds the definition of the node MODEL:/Tools/Workspace. All interaction with the model remains the same, i.e. from FlexSim you just load and save the main xml model file, but now the model is distributed across multiple files. If you look a the change to PostOfficeXML.fsx in your git client, you'll see that many lines have been replaced with a single line specifying the other file: This shows how much of the content of PostOfficeXML.fsx has been moved to distributedfiles/windows.fsx. In the file map, the main document element is the <flexsim-file-map> tag. Inside the main document element should be any number of <map-node> elements. Each <map-node> element should have a path attribute, a file attribute, and a file-map-method attribute. The path attribute should specify the path, from the main saved node, to the node that is going to be saved into the distributed file. The file attribute specifies the path, relative to the saved model file, to the distributed file that you want to save. The file-map-method should either have a value of "single-node" or "split-points". In this case "single-node" means you want to save all of the active node into windows.fsx. Now let's do an example of the "split-points" method. Let's say we want to save the Tools folder in one file, the Source and Queue into another file, and the Processor and Sink in a third file. To do this, add another <map-node> element to the file map: <?xml version="1.0" encoding="UTF-8"?> <flexsim-file-map version="1"> <map-node path="/Tools/active" file="distributedfiles/windows.fsx" file-map-method="single-node"/> <map-node path="" file="distributedfiles/Tools.fsx" file-map-method="split-points"> <split-point name="Source1" file="distributedfiles/Source_Queue.fsx"/> <split-point name="Processor3" file="distributedfiles/Processor_Sink.fsx"/> </map-node> </flexsim-file-map> Now save the file, save your FlexSim model, and again you'll see new files created in the distributedfiles directory. If a element uses the "split-points" method, then it can have sub-elements. Each split-point should have a name, defining the name of a node inside the map-node's defined node, and a file attribute defining the file to save to. The map-node has a path="" attribute. This means that it applies to the root node, or the model itself. The map-node's file attribute defines the first file to use. This configuration tells FlexSim to save all sub-nodes in the model up to but not including the node named "Source1" to the file "distributedfiles/Tools.fsx", save everything from Source1 up to but not including the node named "Processor3" in "distributedfiles/Source_Queue.fsx", and save everything from Processor3 to the end in "distributedfiles/Processor_Sink.fsx". Why Distribute? The main reason you would want to distribute your model across multiple files is for version management. It allows you to easily see what you've changed in your model by seeing what files, and consequently which parts of the tree, have changed. If you inadvertently changed one piece of the model, you can easily see that and then revert that change if needed. When multiple modellers are developing the model, one modeller can essentially confine himself to one part of the model tree, and by associating that part of the tree with a specific file, it makes it much easier to merge changes from different developers, it reduces the chance of conflicts in the merge, and makes it easier to do a manual merge if needed. Note on connections: FlexSim's XML save mechanism does have one catch regarding input/output/center port connections, as well as any other mechanism that uses FlexSim's coupling data. If you change connections in one portion of your model, it will actually change the serialized values of all connections/coupling data that occur after those connections in the tree, even if those connections were not changed. This can very easily cause merge issues if multiple modellers are changing connection data. However, if you distribute the model across multiple files, connection changes where both connection end-points are within the same file will only affect that file, and will not change other files. So if you can localize large "connection sets" into individual files, you can minimize the effect of changes and subsequently minimize merge conflicts.

FlexSim 2025 is now available for download. You can view the Release Notes in the online user manual. FlexSim 25.0.0 Release Notes For more in-depth discussion of the new features, check out the official software release page: FlexSim 2025: Container Object, Task Sequence Queue, and more If you have bug reports or other feedback on the software, please create a new post in the Bug Report space or Development space.

Engage with the FlexSim community here on the FlexSim forum boards. Check out our learning resources. Customers with current licensing can request direct technical support from their FlexSim representative, via phone, email, web meeting, or support ticket.  

This article describes an example of Reinforcement Learning being used to solve scheduling problems. See the model and python files in the attached zip file. SchedulingRL.zip Problem Description This model represents a generic sheet metal processing plant. There are four machines in series. Each job requires time on all four machines. Jobs come in batches of 10. A poor sequence of jobs will cause blocking between items, lowering throughput. If the time between batches is long, such as a shift or a day, you could use the optimizer to determine the best sequence. If the time between batches is short, however, the optimizer may not be feasible. For real sequencing problems, the time to find a good sequence can be anywhere from 5 minutes to an hour, or even longer. This makes it impractical for high-velocity situations. The attached model requests a decision every time the first machine in the series is available. The only action is an index for the Nth available job. So the decision can be interpreted as "which job should I do next?" Solution The general solution is to use reinforcement learning. However, this problem required customized python scripts: The model uses custom parameters for observations. This allows arbitrary values for observations. The model uses a custom observation space. The observations include a table of the required times at each station for the remaining jobs. They also include an array of the in-progress jobs and their predicted remaining times. By using a Dict space, the python scripts can combine all the observations into a single space. The model uses an Action Mask. An Action Mask is a binary array with one value per value of the action. This tells the RL algorithm about invalid options. The python scripts require the sb3-contrib package. Use pip install sb3-contrib to install it. Results After training for 500k time-steps, the agent learns to choose jobs moderately well. If you run the inference script, you can use the experimenter to compare a random policy to a trained agent:

FloWorks 24.1.0 is now available (17 April 2024). This version of FloWorks is intended for use with FlexSim 2024 Update 1. If you are using FloWorks with FlexSim 2024 (LTS), please use FloWorks version 24.0.3 (LTS). All versions can be found in the Downloads section of your FlexSim account on the 3rd party modules tab. Please do not hesitate to report any bugs, usability improvements and feature requests to [email protected]. About FloWorks FloWorks is a 3rd party module developed and maintained by Talumis BV ( talumis.com). It provides faster and more accurate modelling and calculation of fluid systems than the default FlexSim fluid library. It is especially useful within the oil, gas, and bulk industry both for production and supply chain optimization. This module requires a FloWorks license with active maintenance. For any questions, please email [email protected]. Release notes View the full release notes in the online documentation. FloWorks 24.1.0 (17 April 2024) Feature: new "Apply Impact Factor" activity in ProcessFlow. Feature: new "Connect Flow Objects" and "Disconnect Flow Objects" activities in ProcessFlow. All bug fixes in FloWorks 24.0.3 below. FloWorks 24.0.3 (17 April 2024) QuickProperties behavior improved. Fixed invalid manual references. Fixed missing code completion documentation. FloWorks 24.0.2 (6 March 2024) Made activity path references in warning message more clear. Restore missing Flow Trigger Process Flow activities to the library. Fixed Tank level indicator settings for some tank shapes. Add Accumulating checkbox to the Conveyor properties. FloWorks 24.0.1 (5 February 2024) Added vertical splitter to Mixer recipe editor and other small layout improvements. Fixed missing icons in statistics panel pin menus. Flow Polygon Tank property panels fixed and documentation updated. Added "Fill Sideways" property for Flow Polygon Tank. IsMultiProduct setting on Flow Tank is now a proper property. Renamed Flow Tank shapes from Cylindric and Rectangular to Tank and Container, respectively. Fixed "Copy Production Plan" button in Flow To Item properties. Some objects were not correctly reset. ItemToFlow statistics were accessible through .output instead of .input . Breaking changes: Deprecated the input.triggerAmount , input.triggerInterval , output.triggerAmount , and output.triggerInterval properties. FlowObject.stats.input and FlowObject.stats.output now return a Tracked Variable. Cylindric level indicator now expects size of bounding box instead of center and radius. The update script will try to convert these for you. FloWorks 24.0.0 (14 January 2024) All bug fixes in FloWorks 23.0.5 below. Improved warning and error messages throughout Fixed rounding issue in Mass Flow Conveyor

This model shows a simple way of bringing together all the separate picks in an order to be consolidated in a putwall. It also shows a great way of tracking flowitems while on a conveyor through the use of tracked variable labels. A side concept is that the order reserves a slot in a rack for all of the picks. Conveyor-Routing-Order-Consolidation.fsm

This model is a proof-of-concept example demonstrating the integration of FlexSim with Python's Pyomo package to solve the Knapsack Problem. The model simulates a loading process of a logistic company. The truck has a weight capacity of 200 kg. The scenario includes 15 products, each with a specific weight and value. The product details are as follows: The objective is to determine which products to load onto the truck to maximize the total value of goods while ensuring the total weight does not exceed 200 kg. The ProductCreation Process Flow creates the products in a Queue. The General Process Flow has a Custom Code that creates a couple of Maps to store the products weights and values. It sets the capacity variable from the Parameters Table. These three parameters can be passed to python. Then it evaluates KnapsackProblem label on the Process Flow, passing those parameters in. The label is configured to connect to the KnapsackProblem function defined in the KnapsackProblem.py module. This function formulates the Knapsack Problem with Pyomo, solves the program, and then returns the optimal collection of products to be load onto the truck. Since the Decision Variables are binary, once the products are resolved, the values are stored in a Global Table, where 1 means that the product was selected. A Combiner uses this table to set the Component List. A forklift load the products and once completed, the truck leaves. When it enters the Sink a message is displayed showing the total weight and value loaded. Model Parameters There are two parameters that can be changed in this model. One is the Truck Capacity, which is the constraint of this problem. The value ranges from 100 to 300. There are three Global Tables in this model that store a different set of Weights and Values for each products. The table selected for the problem can also be changed using the GUI. Potential additions to this model could use priority for the products or include multiple trucks or constraints such as volume. Requirements to run the model In order to run this model, you need python properly configured, including: Install one of these python versions: 3.9, 3.10, 3.11 Install pyomo and highspy packages: python -m pip install pyomo highspy Make sure the python directory is part of your PATH environment variable. Configure your Global Preferences (the Code tab) to use the associated python version. This model was built in FlexSim 24.0 Knapsack_Problem.zip Troubleshooting If you are getting this error: exception: Code Binding Error: could not bind to function Node: /Tools/ProcessFlow/ProcessFlow>labels/KnapsackProblem Binding string: /**external python: */ /**/"KnapsackProblem"/**/ /** \nfunction name:*/ /**/"KnapsackProblem"/**/ Windows Error Code : 126 Check this post

FlexSim 2024 Update 1 is now available for download. You can view the Release Notes in the online user manual. FlexSim 24.1.0 Release Notes If you have bug reports or other feedback on the software, please email [email protected] or create a new idea in the Bug Report space or Development space.

At the current release state 2024.2.2 FlexSim does not provide a tool to export an animated USD stage of a model. There is a way around though by recording the FlexSim model connected to a NVidia Omniverse live session using one of the tools in NVidia’s USD Composer, the Animation Stage Recorder. This is a step-by-step tutorial to guide you through the process. It is assumed, when you are interested in this you already know how to connect FlexSim to a live session in NVidia Omniverse. This may not be ther perfect way to go, but it worked for me. Record_Animated_Stage_from_FlexSim.pdf

The following article applies to FlexSim versions 26.0 and older. For Autodesk FlexSim 2027 and onward, please visit Autodesk FlexSim 27.0 Licensing and Sign-in Experience   Staying up-to-date   FlexSim recommends staying up-to-date and using the latest Software version. New features, improvements, and bug fixes make your simulations more stable, more powerful, and easier to build.   In addition, the Software is developed for use with contemporaneous hardware, operating systems, and drivers. Among other reasons, as third parties phase out these technologies, FlexSim must discontinue support for Software versions developed for use with those technologies.   Finally, as usage of older versions decreases, FlexSim must devote its resources to supporting more recent Software versions to best serve the majority of our customers who stay current on Software maintenance and updates.   Lifecycle and Support Policy   If you must use an older Software version, understanding the Software Support Lifecycle will help you make informed decisions about when to upgrade.   A Software release is generally supported until it is four (4) or more versions prior to the current release. For the most up-to-date lifecycle and support policy information, please see section 17. Software Support of FlexSim's Software License Agreement (SLA).   As with all future-looking plans, our lifecycle and support policy is subject to change. You should not rely on this policy for making purchasing decisions. We attempt to keep this article up to date, but in any cases where this information disagrees with FlexSim's Software License Agreement, the SLA governs.   Lifecycle status terminology   Supported - FlexSim will maintain licensing infrastructure necessary for a given Software version and will provide technical support for that version for licensed users under current maintenance or subscription. Bugfixes - Bugfixes are issued periodically for the latest Software version, as needed. A Software version typically receives bugfixes until the next Software feature release. Learn more about FlexSim version numbering and bugfixes. LTS - Long-term support versions receive bugfixes for a longer period, typically 12-15 months. Beta - Preview the next version of FlexSim Software for demonstration, testing, and validation. Beta versions may not be suitable for day-to-day production use. Beta versions are superseded by their production-release version. No support - After a Software version is 4 or more versions older than the latest release it is no longer supported. Such a version may continue to work on the computer where it is installed and licensed, but it is no longer eligible for technical support and FlexSim cannot guarantee that licensing infrastructure will remain in place to move the license key to another computer.   Supported Versions   The following Software versions are currently supported.    Application   Version   General Availability     Lifecycle Status  FlexSim 26.0 2025-12-09   supported + LTS FlexSim 25.2 2025-08-12   supported FlexSim 25.1 2025-04-14   supported   Unsupported Versions   The following Software versions are past their supported lifecycle. We recommend updating your software to a supported version.    Application   Version   General Availability   End-of-Life   Lifecycle Status  FlexSim 25.0 2024-12-11 2026-06-08 no support FlexSim 24.2 2024-08-05 2025-12-09 no support FlexSim 24.1 2024-04-08 2025-08-12 no support FlexSim 24.0 2024-12-06 2025-04-14 no support FlexSim 23.2 2023-08-07 2024-12-11 no support FlexSim 23.1 2023-04-03 2024-08-05 no support FlexSim 23.0 2022-12-05 2024-04-08 no support FlexSim 22.2 2022-08-02 2024-04-05 no support FlexSim 22.1 2022-04-04 2024-04-05 no support FlexSim 22.0 2021-12-06 2024-04-05 no support FlexSim 21.2 2021-08-09 2024-04-05 no support FlexSim 21.1 2021-04-02 2024-04-02 no support FlexSim 21.0 2020-12-04 2024-03-26 no support FlexSim 20.2 2020-08-11 2024-03-26 no support FlexSim 20.1 2020-04-10 2024-03-26 no support FlexSim 20.0 2019-12-06 2023-12-31 no support FlexSim 17.0 - 19.2 various 2023-12-31 no support FlexSim 7.7 - 16.2 various 2022-06-30 no support HC 5.3 2017-10-13 2022-06-30 no support FlexSim < 7.7 various 2020-12-31 no support HC < 5.3 various 2020-12-31 no support   Notes   The date format used is YYYY-MM-DD Bugfix releases follow the same lifecycle as the major release with which they are associated. Versions not listed should be assumed as past their supported lifecycle.  

FlexSim 2025 Beta is now available. FlexSim 25.0.0 Release Notes To get the beta, log in to your account at https://account.flexsim.com, then go to the Downloads section, and click on More Versions. It will be at the top of the list. The More Versions button does not appear when logged in as a guest account. The beta is available only to licensed accounts and accounts that have a license shared with them. Learn more about downloading the best version of FlexSim for your license here. If you have bug reports or other feedback on the software, please create a new post in the Bug Report space or Development space.

MQTT is a communication protocol designed for IoT devices. Clients (the devices) connect to a Broker which allows them to publish (send) and subscribe (receive) messages. Each message is associated with a Topic. Each client can choose which topics to use for publishing and subscribing. Usually, the MQTT broker discards messages once they are sent to all subscribers. However, a publisher can mark a message as "retained." This means the broker will keep the last message for that topic and make it available to other subscribers. Only the most recent message is retained. When developing a digital twin, you may need to access these retained messages. This article describes how to do that using FlexSim's Python connection. This article is not meant as a comprehensive guide, but as a starting point, which you certainly will modify for your circumstances. Here are the python scripts and FlexSim model used in this example: MQTT.zip A quick note: since MQTT is a device communication protocol, support for MQTT in the Emulation module is in progress. This article describes how to import data from an MQTT broker like any other file/database/http server, rather than connecting for Emulation purposes. Step 1: Gaining Access to an MQTT Broker Your facility may already have an MQTT Broker running. In the end, your digital twin will need to connect to that broker to retrieve the latest retained messages. However, for testing, or if you don't have an MQTT Broker yet, you can easily get one. One possibility is to use Docker to run the EMQX Broker. However, there are dozens of brokers and installation steps You can download Docker Desktop here: https://www.docker.com/products/docker-desktop/ Once docker is running, you can use the following command in a terminal to download and run the EMQX Broker: docker run -d --name emqx -p 1883:1883 -p 8083:8083 -p 8084:8084 -p 8883:8883 -p 18083:18083 emqx/emqx Note that this command runs a Linux container, so if Docker is in Windows mode, you'll need to switch before running this command. Step 2: Publishing Messages to an MQTT Broker A real facility will have many publishers and subscribers. However, for testing, it can be convenient to create publishers and subscribers that you control. Once your broker is running, you can use code like the following to create a publishing client: https://github.com/emqx/MQTT-Client-Examples/blob/master/mqtt-client-Python3/pub_sub_tcp.py For this example, I created two clients that publish tabular data: one that publishes a set of "raw materials" available for use in the process, and another that publishes a set of "finished goods" available to fulfill orders. To create some data, run the finished_goods_client.py and raw_materials_client.py files for a few seconds each. Note that both of these clients mark the messages to be retained, so FlexSim can access the latest message, even if neither client is actively running. Step 3: Writing a Python Script to Retrieve Messages This approach is demonstrated in fs_client.py, shown here: import paho.mqtt.subscribe as subscribe import json def get_retained_msgs(topics): auth = { 'username': 'emqx', 'password': 'public', } msgs = subscribe.simple( topics, qos=0, msg_count=len(topics), retained=True, hostname="localhost", port=1883, client_id=None, auth=auth, keepalive=5) if type(msgs) == list: return [json.loads(m.payload) for m in msgs] else: return [json.loads(msgs.payload)] if __name__ == "__main__": topics = ["python-mqtt/raw-materials", "python-mqtt/finished-goods"] print(get_retained_msgs(topics)) Run this script to verify that it returns the latest data from the two publishers. When FlexSim calls this function, FlexSim can convert python Lists and Dictionaries into FlexSim Arrays and Maps. So you can return complex data structures directly to FlexSim. Step 4: Writing a User Command to Call the Python Command In FlexSim, create a new user command, and edit the code. Be sure to toggle the node for external use, and set it to the following: /**external python: */ /**/"fs_client"/**/ /** \nfunction name:*/ /**/"get_retained_msgs"/**/ To use Python like this, you need python installed on the path. You also need the paho-mqtt package installed globally. Finally, you need to verify that your global preferences indicate the correct version of Python. For more information on connecting to python functions, see FlexSim's documentation: https://docs.flexsim.com/en/23.2/Reference/DeveloperAdvancedUser/ConnectingToExternalCode/ConnectingToExternalCode.html Step 5: Writing a User Command to Write Messages to Global Tables In this example, the messages we are interested in store tabular data, so it makes sense to store the data in Global Tables: Array tables = ; Array topics = ["python-mqtt/raw-materials", "python-mqtt/finished-goods" Array msgs = getRetainedMessages(topics); for (int m = 1; m <= msgs.length; m++) { Table fsTable = tables[m // header code elided; see example Array msgData = msgs .data; Table msgTable = Table(msgData); msgTable.cloneTo(fsTable); // header code elided; see example } If you run this new user command, you can see the latest data pulled in to FlexSim. Conclusion This example shows just one way you could import data from an MQTT broker into FlexSim. In addition, the kind of data you import or what you do with that data is up to you as the user.

Railworks 24.0.1 is now available (02 April 2024). This version of RailWorks is intended for use with FlexSim 2024. Railworks 2023.0 will become LTS, for any use cases with updated bug fixes use the latest 23.0 version available. If you are using RailWorks with FlexSim 2023 (LTS), please use RailWorks version 23.0.6 (LTS). If you are using RailWorks with FlexSim 2023 Update 2, please use RailWorks version 23.2.3. All versions can be found in the Downloads section of your FlexSim account on the 3rd party modules tab. Please do not hesitate to report any bugs, usability improvements and feature requests to [email protected]. Signal: New feature in railworks This new feature adds a 3D object called Signalized Rail, a track with signals that can control train traffic with precise speed changes, sight and safety distances for rail reservations and signal advances. You can configure signal aspects, sight distance and train safety distance with just this object.For more information read 3Dobjects. Importance of the Signal A signal in a railroad system is a way of controlling train traffic speeds, ensuring safety and maximizing the flow. There are different types of signals for different cases and countries, the most common being speed control signals on sections to prevent train collisions. These signals change their appearance in order to indicate a reduction in speed, and can have different aspects for different speed changes. This type of sign is the new railworks feature. About Railworks The FlexSim Brazil RailWorks module consists of premade custom objects, designed to represent a real environment for the Rail problem modeling, with less configuration. Our approach is to unite 3D modeling with the Process Flow functionality, allowing object configuration and visualization through the native 3D FlexSim solution, and the rail system events to be triggered by the Process Flow, using not only defaults FlexSim Process Flow activities, but also new ones developed by our team. Release Notes View the full release notes in the online documentation. RailWorks 24.0.1 (02 April 2024) Bug-Fixes All bug fixes in RailWorks 23.2.3 below. Features New object:Introducing signalized rails - tracks equipped with signs at their ends for improved traffic control and safety at critical network points. Learn more about signaled rails and practice using them on the 3D objects page. Feature:Take control of your rail network with the new rail signaling control feature. Configure aspect signals, customize their colors, set speed correspondences, and define safety or sighting distances for a more realistic train operation experience. Feature: New picklist options to set destination in MoveTrain and MoveWagon activities. RailWorks 23.2.3 (18 March 2024) Bug-Fixes All bug fixes in RailWorks 23.0.6 below. MoveWagon Label Control Improvements: Enhanced the user interface for the MoveWagon label control. OnPass Speed Alteration Fix: Compositions with wagons attached change speeds correctly and consistently. AssingTo labels on MoveWagon Fix: The creation of a new label works with individual wagons on MoveWagon. RailWorks 23.0.6 (18 March 2024) Bug-Fixes Consistent Parked Wagons Positioning: Wagons now position themselves alongside other wagons more consistently. Rail Reservation Logic Optimized: Improved logic for rail reservation to ensure smooth operation. Refined Rail Control Point Triggers: More precise behavior for RailControlPoint's onPass, onContinue, and onArrival triggers. Smoother Undo Functionality: Improved responsiveness and reliability of the undo function (Ctrl+Z). Automatic Brakes Optimized: Automatic brakes now stop on the correct rail for better train control. Wagon Creation Streamlined: Wagon creation now adapts its position automatically when placed on multiple rails. Copy & Paste Errors Resolved:Fixed exceptions that occurred during copy and paste operations. Train Creation Collisions Addressed: Inconsistent collisions during train creation have been eliminated. Enhanced Locomotive Interaction: Improved interaction between compartments and leading locomotives for more realistic behavior. Departure Rail Control Point Fix: Fixed an issue where moving a wagon wouldn't release the departure Rail Control Point. Automatic Braking Refined: Improved automatic braking for scenarios with low acceleration and high speeds. Multiple Rail Braking Enhanced: Resolved issues with braking zones spanning multiple rails. Limited Station Parking: Locomotives destined to a Station no longer allowed to enter while occupied. Better Composition Positioning on Curved Rails: Movement on CurvedRails is now smoother. Added Locomotive and Wagon icons to FlowItemBin. Modelling fixes: Preventive fixes to improve modelling experience. Performance Enhancements Faster Rail Connections: Optimized rail automatic connection for improved performance. MoveWagon Streamlined: Object selection offers more consistent behavior when detaching wagons from larger compositions. Streamlined ConnectPoint Creation: Made changes to ConnectPoint creation for better performance. Optimized Pathfinding: Enhanced path discovery algorithms to improve overall performance. Status Window Consolidation: Review and behavior correction of status bubble on flowitems and task executers.

Example Usage of the New AutoCAD FlexScript API The following example models were demonstrated at the Autodesk University presentation Elevating Factory Design: FlexSim and the Future of Autodesk Fusion Digital Factory. Refer to that presentation for a demo of these models and additional discussion regarding the topics demonstrated by these examples. These examples require the Autodesk Interop FlexSim Module. Healthcare Auto-Build Example Demo_AutoCadAPI_ER_4.fsm Using the new AutoCAD FlexScript API, the data within dwg files can be read using FlexScript to automatically build simulation objects within the model. The script in this Healthcare example is contained in the AutoBuildFromDwg() user command in the Toolbox. This command reads the average location of blocks on the Bed Layer to create Bed Location objects. It also reads the lines on the Wall Layer to automatically create Wall objects and connect them to the A* Navigator for automatic pathfinding around the walls. Reading dwg data string filePath = param(1); AutoCAD.Database db = AutoCAD.Database(filePath); if (!db)             return -1; var iter = db.getBlockTable().getAt("*MODEL_SPACE").newIterator(); for (iter.start(); !iter.done(); iter.step()) {             var ent = iter.getEntity();             print("Entity:", ent.layer, ent.objectType);             if (ent.layer == "Bed Layer") {                         if (ent.is(AutoCAD.Polyline)) {                                     AutoCAD.Polyline polyline = ent.as(AutoCAD.Polyline);                         }             } } Creating a bed location treenode bedConfig = library().find("/people/Objects/Location>behaviour/eventfunctions/configs/Bed"); Object obj = Object.create("People::Location"); function_s(obj, "changeShape", bedConfig); Creating walls Object walls = Model.find("Walls"); if (walls) walls.destroy(); walls = Object.create("People::Walls"); treenode wallsSurrogate = walls.find(">visual/drawsurrogate"); Object libraryPillar = node("/?Pillar", library()); Object newPillar1 = createinstance(libraryPillar, wallsSurrogate); newPillar1.setLocation(0.0, 0.0, 0.0); Object newPillar2 = createinstance(libraryPillar, wallsSurrogate); newPillar2.setLocation(10.0, 0.0, 0.0); function_s(walls, "addWall", newPillar1, newPillar2); Asserting the A* Navigator, a Grid, and connecting Walls Object walls = Model.find("Walls"); Object aStarNavigator = model().find("AStarNavigator"); if (!aStarNavigator) {             aStarNavigator = createinstance(library().find("?AStarNavigator"), model()); } Object grid = aStarNavigator.find("Grid1"); if (!grid) {             grid = function_s(aStarNavigator, "createGrid", 0, 0, 0, 1, 1, 0);             grid.name = "Grid1"; } contextdragconnection(grid, walls, "A"); AGV Read/Write Dynamic Blocks Example POC_OHT_3_MoveOHB.fsm POC_OHT_3_MoveOHB.dwg (If this file is named differently when you download it from Answers, make sure you name it back to this exact name. It is referenced by name in the model.) The script in this AGV example is contained in the interopAutoCAD() user command in the Toolbox. This command reads the location and names of particular dynamic blocks in the dwg file in order to automatically create AGV path simulation objects based on the configuration of each type of dynamic block. Additionally, the script has examples of both reading data and writing data back to the dwg based on modifications of the AGV paths within the simulation. The script is only partially complete as a demonstration of the API’s capabilities; the script is not a fully-working, robust solution for any arbitrary dwg. Factory Design Utilities Proof of Concept Example Demo_AutoCadAPI_FDU_1.fsm This FDU example model contains many user commands in the Toolbox with various functionality. The primary example starts in the Load FDU Layout button’s OnPress code. By default, it calls the AutoBuildFromDwg() user command. Alternatively, it has unreachable example code for calling AutoBuildFromLayout(), which can read the layout data from an FDU LayoutData xml file rather than a dwg file. The AutoBuildFromDwg() user command reads factory-specific meta-data about each FDU block in the dwg file and automatically creates simulation objects for each. The simulation objects then load the custom 3D shapes from FDU representing each of those objects. The import script also sets labels with the various Factory properties from each object. Within the CreateSimulationObjects() and CreateInternalObjects() user commands—called from the CreateFactoryAssetInstance() command—are hard-coded checks for particularly factory asset family ids to determine what type of simulation objects to create. This is merely a proof-of-concept example for handling FDU assets via FlexScript without any changes to FDU assets themselves. Future enhancements may include options for including such simulation meta-data within FDU assets directly for a more robust, easier-to-use solution. This workflow brings all the new Autodesk interop features together for an exciting, new way to bring factory data into FlexSim. Once that data is in FlexSim, you can use its many existing features to analyze the system with live 3D animation and dashboard charts showing simulation results. You can validate the throughput of the layout, identify potential bottlenecks, and balance resource use.

Autodesk has released a module that provides better functionality between FlexSim and Autodesk software. FlexSim users can download the module by navigating to the “3rd Party Modules” tab on the FlexSim downloads page:   Downloads - FlexSim Account       Please note that the module will work with FlexSim version 24.2.2 or later.   The first release of the module includes the following:   Added support for loading ipt, iam, and rvt files. Added a new AutoCAD FlexScript API. Updated dwg importer using the Mesh API.   More information about the module can be found in the user manual here:   User Manual - ADSK Interop   Instructions and examples of how to use the module can be found here:   Autodesk Interop Module Example Models   You can find a demo of the new features (10:10 - 29:55) in the Autodesk University class recording here:   Elevating Factory Design: FlexSim and the Future of Autodesk Fusion Digital Factory   If you need to report a bug, please make a post in the Bug Report space. If you have a new idea for the software, please make a suggestion in the Development space.  

When presenting and/or demonstrating a FlexSim model, it is often useful to have the model running in a loop that uses a flypath for a motion path. That way, you can more easily talk to the model while it runs, or leave it running unattended on repeat. The model below provides the code and settings needed to do that. In order to add this capability to your model, you will need to add a few things: A user event called EndTime. This setting will affect how long the model runs before resetting and running again. The First Event Time setting is where you can enter the number of seconds before this happens. The Event Code setting is where you can add custom code from the attached example model, found in the "event" tab. Model trigger code within OnRunStart and OnRunStop. This code can be found in the attached example model. A global variable called demo_mode. This can be set to 1 to enable the demo mode functionality, or set to 0 to disable it. Running the model with demo mode disabled is the same as how the model normally functions. Thanks to @Phil BoBo for helping to develop a solution for this. Also, the model requires FlexSim 23.2 or newer to work properly. presentation_demo_mode.fsm

27 July: Bug fix releases 22.0.7, 23.0.3 and 23.0.1 are now available. FloWorks 23.1.0 is now available (12 April 2023). This version of FloWorks is intended for use with FlexSim 2023 Update 1. If you are using FloWorks with FlexSim 2022, please use FloWorks version 22.0.6. If you are using FloWorks with FlexSim 2023 (LTS) please use FloWorks version 23.0.2. All versions can be found in the Downloads section of your FlexSim account on the 3rd party modules tab. Please do not hesitate to report any bugs, usability improvements and feature requests to [email protected]. About FloWorks FloWorks is a 3rd party module developed and maintained by Talumis BV ( talumis.com). It provides faster and more accurate modelling and calculation of fluid systems than the default FlexSim fluid library. It is especially useful within the oil, gas, and bulk industry both for production and supply chain optimization. This module requires a FloWorks license with active maintenance. For any questions, please email [email protected]. Release notes View the full release notes in the online documentation. FloWorks 23.1.1 All bug fixes in FloWorks 23.0.3 below. FloWorks 23.1.0 (12 April 2023) Segmented Pipe: removed virtual content and fixed properties Changed default content of flow tanks and mixer from 50,000 to 1,000. All bug fixes in FloWorks 23.0.2 below. FloWorks 23.0.3 Bug fix: Module dependency shows invalid module version number All bug fixes in FloWorks 22.0.7 below. FloWorks 23.0.2 (12 April 2023) Moved flow control to toolbox Support time series, level triggered event and workability in Tools.create and Tools.get Added context menu option to disable time series in toolbox Added dot syntax to create flow controls, get the default flow control, and request recalculation of a flow control's network All bug fixes in FloWorks 22.0.6 below. FloWorks 22.0.7 Bug fix: Multi-product FlowTank blocks simulation when layer is small but nonzero, due to rounding error. FloWorks 22.0.6 (12 April 2023) Bug fix: Loading Arm processing time defaults to 10. Bug fix: fixed length³ to volume conversion for models in non-metric units Bug fix: fixed error message "FlowConveyor content changes are not allowed" Bug fix: flow conveyor density calculation was incorrect with non-metric units Bug fix: icon grid was not filtering correctly when A-connecting Bug fix: flow conveyor properties panel fixed Bug fix: added vertices editor to polygon flow tank quick properties Bug fix: after the first vessel, vessels were positioned incorrectly in the loading point Bug fix: quick properties now shows "Max. rate" for Loading Arm and "Max. inflow" for Flow Sink. Bug fix: removed duplicate Input / Output / Content change events from event selection list Bug fix: corrected input / output in on change event at end of warmup Bug fix: on empty and on full event would sometimes fire twice

Attached is a simple example of using the GIS Module. It contains a GIS Map with 8 Cities represented as points connected by driving routes. gis_example.fsm The model's Process Flow randomly generates tokens, which create items to be carried by trucks from one city to another. After a delay, the item is removed from the model. This very simple example demonstrates how to use the GIS Module to model movement of items from sources to destinations without any FixedResource objects. All the logic can be done through Process Flow to control what happens in the model. This model also demonstrates the Min Scale and Max Scale properties of a GIS Map object. By default, as you zoom the 3D view in and out, the 3D shapes on a GIS map scale so that they remain the same size on the screen, like abstract flat billboard images. When you zoom far out, because the items remain the same size, they seem really big relative to the map. Similarly, when you zoom far in, because the items remain the same size, they seem really small relative to the map. The Map object has Min Scale and Max Scale properties to cap the scaling up and down of objects as you zoom in and out, so that they will only scale up to a certain size and only scale down to a certain size. This makes it so they scale within a certain range, but don't get too big or too small. If you set both of these values to a particular number, then they will not scale at all, but rather be that particular size.