Dear FlexSim user, Update: Please see the FlexSim Newsroom announcement here: FlexSim Answers to migrate to Autodesk Forums on April 25 | FlexSim Original First and foremost, thank you for being an active and valued member of our forum. Your contributions help make this community a valuable resource for everyone, and we truly appreciate your participation. As you may know, FlexSim was acquired by Autodesk in late 2023. As part of this transition, we will be migrating some of our tools, including this forum, to a new platform which we expect to be completed by May 2025. You will be able to access Autodesk forums here. What This Means for You: Seamless Knowledge Transfer – All existing forum content will be migrated, ensuring continued access to the wealth of knowledge shared by our community. A Community-Driven Experience – The forum will evolve into a more self-sustaining, peer-to-peer support hub. While FlexSim support engineers will still visit the forum, when possible, our goal is to empower users to help each other, making this a truly community-led space. Ongoing Support for Entitled Users – We will share more details soon on how eligible users can reach the FlexSim support team directly. For now, we encourage you to continue engaging with the forum as you always have. Your involvement is what makes this community thrive, and we’re excited to embark on this new chapter together. Stay tuned for more updates and thank you for being an essential part of FlexSim! Best, The FlexSim Team

If you have a contiguous conveyor network you can just route items using Conveyor.sendItem() and FlexSim will guide the item to the destination, passing through inline and side transfers as required for the shortest path. If between some conveyors you use exit and entry transfers, perhaps to easily add elevators and shuttles as transports between them - then you'll normally be faced with adding logic to figure out which exit transfer to go to and which port to take from that transfer - and in a large model that logic can be extensive and hard to maintain. The attached model and library provides commands for automated routing through multiple conveyor sub-sections connected through exit/entry transfers, to conveyor points and to connected fixed resources. This means that you may no longer have to write sendTo code with case statements on each exitTransfer to determine which port an item should exit through – nor possibly need to have decision points with case logic to decide the destination for Conveyor.sendItem(). In the example model three sources create items with random destinations which are routed through the conveyor system, transfers and port automatically to arrive at the correct destinations – some of the ports having transport to perform the move. To make this work in any model you should load the user library which will auto-install a set of user commands and a General Process Flow. The first step is to run the user command ‘createAllTravelMaps()’ which will calculate all the reachable destinations (decision points, stations, pes, attached fixed resources and transfers) from all the conveyor points and entry/exit transfers) along with estimates of the conveytime (from the conveyor class). This information consolidated to create the shortest routes and is stored in a label ‘travelMap’ on each decision point, station, pe and transfer. To make use of the travelMap data there are three additional user commands supplied that are intended to be used directly by the modeller: getNextConveyPoint(thispoint, destination) – returns the next point to send an item to from this point in order to ultimately reach the destination. getConveyExitPort(exitTransfer, destination) – returns the port through which an item should exit the exitTransfer in order to reach the destination. getConveyItemsNextConveyPoint(item, destination) – returns the next point to which an item should travel to reach the destination from its current position on a conveyor. The simple process flow in the example and library is set to listen to the Group members of EntryTransfers and ExitTransfers in order to lookup the ‘destination’ label and either sends the item to the next point or in the case of the exit transfers, overrides the sendTo port with the value from the map. I’ve added some documentation to the user commands which you can access easily via the command helper: ConveyorTravelMaps_0.3.fsl ConveyorTravelMapExample.fsm You may find createTravelMaps() takes a while which is why a progress bar has been added. You may not need all points to be evaluated exhaustively so the option to pass in a flag indicating to only start evaluation from Entry Transfers is given, which will create somewhat incomplete maps for intermediate points. A future refinement would be to account for transport time from exit transfers either by recording the times or providing port list with the expected times. Clearly if you make changes to your transfer positions or conveyor layout you should rerun createAllTravelMaps.

Intersection with traffic lights in an AGV network This model aims to showcase how allocations of control areas can be manually controlled to achieve more complex logic than the default “first come first serve” implementation. It depicts a four-way road intersection with arriving cars being able to continue in any of the three other directions. Cars driving straight on or turning right use the right lane, cars turning left use the left lane and must give way to oncoming traffic. Traffic lights manage which cars are allowed to enter the intersection at any given time. AGV network and general concept In order to understand the logic behind it, let’s first look at how the AGV network is setup. In the screenshot below we deactivated the visualization of the roads to show the paths and areas more clearly. For each of the four directions there are two incoming paths and one outgoing path. Control points (red) are placed on the incoming paths at the points where cars must stop (based on object center) when the light is red. A single, large control area that control the entry is placed such that is encompasses the entire intersection. Within this control area, an additional control point is placed on each of the left turning paths (orange). This is the location where left turning vehicles must wait for the oncoming lane to be clear. To enforce this the four smaller, rectangular control areas are used. The lane turning left and both the straight and right turning lane coming from the other direction pass through one of these areas. We will later explain how the straight and right turning cars are given priority to allocate these areas, resulting in cars wanting to turn left having to wait until no other allocation requests are present. As all paths are one-way and the geometry is pretty simple, all things considered, the distance between cars is handled by an accumulation behaviour set on the paths. The logic controlling the vehicles is very simple. If we zoom out, we can see that cars leaving the intersection in any direction eventually just turn around and return. At the turning points control points are placed that serve as the travel destination for the cars. A Process Flow with one token per car randomly chooses the next destination when the previous travel task is finished and sends the car there. The cars will automatically use the correct lanes, since those are the shortest paths to reach their destination. For the intersection logic each combination of origin and destination (meaning every possible way of crossing the intersection) is represented as a number. These numbers are stored as global macros for ease of use. The letters represent the four cardinal directions (north, west, south, east). For example, using the intersection to travel from east to west would be represented by the ‘mode’ number 4. At the same time as a new destination is chosen for the car, the respective mode number is also written to a label on the car. In the logic that controls entries into the intersection, these modes are used to identify which vehicles are allowed to enter. Powers of two are used, so the numbers can simply be added together to get a single number that encodes which lights are green. The light phases are defined in a global table. One of the simplest sensible configurations is shown below. At first, all lights are red (no entries in the “Green” columns) for 5 seconds. Then all cars coming from the west and east directions receive a green light for 20 seconds. This is followed by another 5s of all red lights and finally the other directions are allowed to move on. The table is then repeated from the top. The phase in line two would be represented as mode 1365 (1 + 4 + 16 + 64 + 256 + 1024). This becomes a lot more obvious when the mode is written in binary: 0000 0101 0101 0101 Each bit represents one of the possible directions. Allocation logic explained The control area is set to allow 0 concurrent allocations. Meaning for a request to actually result in an allocation, we need to override the return value of the “On Request” event of the control area. This happens in the control logic for the intersection that is implemented as an Object Process Flow linked to the control area. An Event-Triggered Source reacts to the On Request event and writes a reference to the “Allocator” (meaning the car/AGV) to a label on the token. Note that the “Will Override Return Value” box is checked. The token then enters a Finish activity in whose “Return Value” field the current traffic mode of the control area is compared to the mode of the requesting car. The “&” is the bitwise-and-operator. It goes through both numbers bit by bit. If the bit at a given position is 1 in both numbers, it will also be 1 in the returned value, 0 otherwise. If the mode of the car is part of the current traffic mode (which is a sum of such modes) the result will be the mode. This non-zero number is interpreted as “true” in the if-condition and the return value of the code is to allow the request to go through. Otherwise, the request is blocked. (The “Allow” and “Block” properties return 1 and -1, respectively.) The second part of the Process Flow is a loop with a single token that reads the next traffic mode from the global table. It then ‘announces’ which phase the intersection will enter next, so that the draw logic of the traffic light objects can start the process of switching from red to green or vice versa if needed. After a delay, in which those lights would show yellow, the current phase of the control area is updated. The same code that updates the label then also searches for cars that are now allowed to enter the intersection among the pending allocation requests. Since, as far as I could tell, there is currently no direct method to refire an allocation request, those cars receive a pre-empting task sequence that uses a break task to immediately return to the previously active sequence. The restart of their travel task then causes them to try to allocate the control area again. After waiting the duration assigned to the current traffic phase, the token once more updates the mode of the intersection to an ‘intermediate’ mode. This mode is the result of another bit-wise comparison of the current and the next mode. This allows lights that need to change to red to do so, while lights that stay green remain unchanged. Once the next phase is activated, additional lights might then become green. If the next phase doesn’t have any green lights, all lights will already be red in the intermediate mode, meaning the Process Flow block that updates the mode can be skipped and the token instead just waits out the duration in the “All Red Duration” Delay activity. The logic that makes left turning vehicles give way to oncoming traffic works in a similar way. It is also implemented as an Object Process Flow, linked to the four smaller control areas within the intersection. These areas allow a single allocation by default and also have a “Mode” label. But it’s not set based on a timer and otherwise static. Instead, these areas start in mode 0 and if a request is made while the area is empty, the allocation is always allowed, and the mode is set to match that of the allocator. When another request is made, the areas mode is compared with that of the new requesting car. If they match, the request can potentially be granted. First however, the code searches other pending requests for a mode with a higher priority than that of the current request. (The mode numbers are assigned in the order straight < right turn < left turn, so they can also be used as a priority value, where lower is better.) If such a request is found, the current one is blocked, to allow for the area to empty. At that point, a token created by a source listening to the “On Deallocated” event of the control area will reset the mode of the area to 0 and sort any pending requests by priority, before those get re-evaluated. In summary, this logic allows an arbitrary number of cars with the same mode to enter the area. As soon as a higher priority request that can’t immediately enter is created, other requests are blocked; they must ‘give way’. Visualization and parameters The traffic lights are BasicFR objects that draw colored circles as lights in their On Draw trigger, depending on a label. That label is updated in the On Message trigger whenever the intersection changes its phase. The roads are drawn along the AGV paths in the On Draw code of a dummy object placed to the side of the intersection. How wide and in what interval the white lines are drawn is determined by Array labels on the paths containing all necessary parameters. The model comes with five parameters: The first controls which table is used to determine the traffic light phases, the second and third set the time it takes a light to switch from red to green and green to red. The fourth sets the number of cars and the final one switches the visualization of the left turn lights to arrows. agv-traffic-mode-intersection.fsm

FloWorks 25.0.1 is now available (21 January). This version of FloWorks is intended for use with FlexSim 2025 (LTS). If you are using FloWorks with FlexSim 2024, please update to FloWorks version 24.0.7. If you are using FloWorks with FlexSim 2024 Update 2, please update to FloWorks version 24.2.1. 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 support@talumis.com. 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 support@talumis.com. Release notes View the full release notes in the online documentation. FloWorks 25.0.1 (21 January 2025) FloWorks was not loading correctly in FlexSim 25.0.2. FlexSim Compatibility Note: This release of FloWorks is for FlexSim 25.0.2 and higher versions. It may not work with FlexSim 25.0.1 and earlier. FloWorks 25.0.0 (19 December 2024) Improvement: FlowConveyor can be reversed. All bug fixes in FloWorks 24.2.1 below. FloWorks 24.2.1 (19 December 2024) Improvement: Made Disconnect Flow Objects properties more clear. All bug fixes in FloWorks 24.0.6 below. FloWorks 24.2.0 (6 August 2024) Bug fix: removed flicker due to unnecessary repaint in ApplyImpactFactor QuickProperties panel. All bug fixes in FloWorks 24.0.4 below. FloWorks 24.1.1 (6 August 2024) Bug fix: removed flicker due to unnecessary repaint in ApplyImpactFactor QuickProperties panel. All bug fixes in FloWorks 24.0.4 below. 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 24.0.7 (21 January 2025) FloWorks was not loading correctly in FlexSim 24.0.8. FlexSim Compatibility Note: This release of FloWorks is for FlexSim 24.0.8 and higher versions. For FlexSim 24.0.7 and earlier, please use FloWorks 24.0.7. FloWorks 24.0.6 (19 December 2024) Bug fix: Flow Mixer stops with error when pulling product from an invalid port. Bug fix: Reactor vessel shape was not correctly upgraded to 24.0 from older versions. Bug fix: FlowConveyor content visualization was incorrect. Bug fix: SharedResource showed exception and didn't work correctly. Improvement: Impact events can be resumed with a Variant id identifier instead of treenode eventObject . Improvement: Fixed many incorrect tooltips in the FloWorks ProcessFlow activities. FloWorks 24.0.5 (27 August 2024) Bug fix: Version 24.0.4 installer contained an incorrect module (.t) file Bug fix: Removed ProcessFlow activities which are only available from 24.1 from the drag/drop library FloWorks 24.0.4 (6 August 2024) Bug fix: FlowToItem was not behaving correctly when an item buffer was used. Bug fix: Fixed a timing issue when FlowToItem got starved while an item was being released. Bug fix: Fixed some rounding issues in event scheduling. Bug fix: Fixed Quick Properties product combo when product has been deleted. Bug fix: Missing states 19 and 20 added to state profile. Bug fix: Fixed several issues in FlowConveyor visualization. Bug fix: Invalid curved FlowConveyor animation fixed. Bug fix: Invalid initial content for Segmented Pipe fixed. Bug fix: "FlowConveyor content changes are not allowed" error (and subsequent exception) fixed. Improvment: Curved conveyor now also supports FlowConveyor length property. Improvement: Tank label hidden in FlowItems (FlowVessel and FlowTruck). Improvement: Cleaned up the variables in the FlowItems' model tree. Improvement: Tank size/position and max content changed for FlowTruck, also as FlowTaskExecuter. Improvement: Slight optimization in preventing unnecessary FlowControl events. Improvement: Added SetMaxContent for FlowToItem and improved handling for Flow Tanks. 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

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.

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.

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:

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

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

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.

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.

This article explores creating Fluid Tanks from a Basic FR and Process Flow. This turned out to be a lot more complicated than I thought. If you need fluid objects in FlexSim, use the standard fluid objects in the library or buy FloWorks. The approach in this article requires a lot of up-front work just to get started, and you probably want to spend that time configuring well-tested objects instead of cutting your own path. This article is directed at two audiences: Those who don't want to use the fluid library or FloWorks (they have elected the way of pain) Those who like learning from example models If you are still interested, read on! TankDemo_10.fsm Kinetic Tracked Variables Tracked Variables hold a number. As you change the value, the Tracked Variable tracks the min, max, average, etc. You can optionally track the history of the value over time (this history) or the amount of time spent at specific values (the profile). You can also listen to when a Tracked Variable changes. A special kind of Tracked Variable is a Kinetic Tracked Variable (KTV). A KTV lets you set a rate. The rate is the ratio of the change in value divided by the change in model time units. If you set a rate, the KTV records when you set the rate and the initial value. In this way, you can as a KTV for its value at any point and get the exact continuous value. KTVs are the heart of this model. You can use a KTV as a label value. Each tank has a label called "Level" that is a KTV that holds the level of the tank. They are also used to represent the progress of a transfer of fluid between tanks. Custom Draw The fluid tanks you see in the model are BasicFR objects. The shape of the object is set to a cylinder. The color of the object determines the color of the fluid. To draw the changing fluid level, the OnDraw trigger of the tanks use the Level label to determine the height of the fluid. Then the OnDraw trigger draws a cylinder covering the remainder of the tank. Because the draw code accesses the Level label's value, the cylinder will change as the value of the Level label changes. Tank: An Object Process Flow Most of the logic in this model is defined in an Object Process Flow called Tank. I used an Object Process Flow so that it would be easy to attach other objects to the flow to imbue them with fluid tank logic. In a way, it's like defining a programming class. When you attach an object, you create an instance of that class. The Tank flow defines behavior for a general fluid tank: A Tank can have fluid transferred in, out, or both A transfer indicates a source tank and a destination tank, and amount, and a rate. If the source tank is null, then the fluid is generated in the tank. If the destination tank is null, fluid is consumed in the tank. A tank can have as many active transfers as the user adds to it. There's not an accompanying concept of "pipes" in this setup. Each transfer changes the rate of the Level KTV for each tank. If the tank gets full, input transfers are paused until the the tank empties below a threshold (95% of its capacity). If the tank gets empty, output transfers are paused until the tank fills above a threshold (5% of its capacity). If the tank is stopped, both input and output transfers are paused until the tank is resumed. The Model Logic The model logic is contained in the process flow called Process Flow. It picks a random recipe from the Recipes table and uses that to create transfers into the Mixer tank. Once those transfers are complete, the Mixer tank empties itself. When it's completely empty, the tank produces an item. Then that process repeats. By using an Object Process Flow, the logic for "how to tanks work in general" is separated from "what are the tanks doing." Pros and Cons The main con is that you would need to implement this logic yourself rather than starting with an object. This includes finding and fixing bugs. I have found and fixed many bugs in this demo model, but I'm fairly confident there are more. It turns out creating an object is tricky. However, there are a few pros: Compared to the fluid library, there is no ticker. The fluid library relies on a ticker to handle changes in level. This approach uses KTVs instead. KTVs are newer than the fluid library. A ticker adds a frequent event to the model and loops through fluid objects checking for changes. It is possible that the approach in this article is more accurate and faster to run. It's also possible that it's slower, due to the number of process flow activities. Compared to FloWorks, there is no monetary cost. This may actually be a con as time spent developing logic is an expense. This approach will take 10x longer or worse to get right. Your future self will thank you for just buying it. You have full control over the behavior. If you don't like how something works, or you want to add additional logic, the logic is all available for you to edit. Again, this might be a con, because you have to fix bugs as you make them. Conclusion Overall, this demo model shows lots of FlexSim features working together. That is valuable in itself. As a replacement for fluid objects, this demo model isn't a great route, unless you have very specific needs. As I built this model, I realized that I was probably solving the same set of issues that the developers of the fluid library were solving. What I thought was going to be somewhat simple turned out more complicated. I still think this is doable, but I'd look at other options very carefully first.

ContinuousUtilization_4.fsm In the attached model, you'll find a Utilization vs Time chart driven by a Statistics Collector and a Process Flow. This article is an alternative approach to the chart shown here: https://answers.flexsim.com/content/kbentry/158947/utilization-vs-time-statistics-collector.html Thanks @Felix Möhlmann for putting that article together. The concept in this model is very similar, but this is a different approach. There are pros and cons to each method. This method offers some performance improvements at the cost of writing more FlexScript code. This method also doesn't handle Warmup time, where the other method does. The general idea in this model is to keep a history of state changes for the previous hour (or other time interval). The history adds new info as states continue to change and drops old info as it "expires" by being older that the time interval. I chose to use a Bundle (stored on a token label) for the history. Bundles are optimized to add data to the end. If a bundle is paged (they are by default), then they are also optimized to remove data from the beginning. [Begin Technical Discussion - TLDR; Bundles are fast at removing the first row and adding new rows] A paged bundle keeps blocks of memory (pages) for a certain number of rows. If a page fills up, it allocates another page. It keeps track of the location in the page for the next entry. Similarly, it keeps track of the location of the first entry on the start page. If you remove the first row, that start location is moved forward on the page. If the start location gets to the end of a page, that page is dropped and the start location moves to the next page. [End Technical Discussion] The Process Flow maintains the history table. Whenever the object's state changes, the Process Flow adds a new entry to the history table. This part is straightforward. The tricky part is properly "expiring" the data. To do this, a second set of tokens wait for the last of the oldest data to expire. When the oldest set of data should expire, the tokens remove any rows that are too old and then wait for the next oldest row. If there are no expired rows, the tokens wait for one "time interval" and then check again. This is because if there is no expired data, data can't expire for at least one time interval. In this way, the history table is always kept up to date. The Statistics Collector is configured to post-process the history table. It calculates the total utilization, including the state that the object is currently in, as well as the state being "phased out" from the history table. The Statistics Collector can do this calculation at any point in the model. So the sampling interval (called Resolution in the model) is independent from the time window.

FloWorks 24.2.0 is now available (6 August). This version of FloWorks is intended for use with FlexSim 2024 Update 2. If you are using FloWorks with FlexSim 2024 (LTS), please update to FloWorks version 24.0.5 (LTS). If you are using FloWorks with FlexSim 2024 Update 1, please update to FloWorks version 24.1.1. 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 support@talumis.com. 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 support@talumis.com. Release notes View the full release notes in the online documentation. FloWorks 24.2.0 (6 August 2024) Bug fix: removed flicker due to unnecessary repaint in ApplyImpactFactor QuickProperties panel. All bug fixes in FloWorks 24.0.4 below. FloWorks 24.1.1 (6 August 2024) Bug fix: removed flicker due to unnecessary repaint in ApplyImpactFactor QuickProperties panel. All bug fixes in FloWorks 24.0.4 below. 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 24.0.5 (27 August 2024) Bug fix: Version 24.0.4 installer contained an incorrect module (.t) file Bug fix: Removed ProcessFlow activities which are only available from 24.1 from the drag/drop library FloWorks 24.0.4 (6 August 2024) Bug fix: FlowToItem was not behaving correctly when an item buffer was used. Bug fix: Fixed a timing issue when FlowToItem got starved while an item was being released. Bug fix: Fixed some rounding issues in event scheduling. Bug fix: Fixed Quick Properties product combo when product has been deleted. Bug fix: Missing states 19 and 20 added to state profile. Bug fix: Fixed several issues in FlowConveyor visualization. Bug fix: Invalid curved FlowConveyor animation fixed. Bug fix: Invalid initial content for Segmented Pipe fixed. Bug fix: "FlowConveyor content changes are not allowed" error (and subsequent exception) fixed. Improvment: Curved conveyor now also supports FlowConveyor length property. Improvement: Tank label hidden in FlowItems (FlowVessel and FlowTruck). Improvement: Cleaned up the variables in the FlowItems' model tree. Improvement: Tank size/position and max content changed for FlowTruck, also as FlowTaskExecuter. Improvement: Slight optimization in preventing unnecessary FlowControl events. Improvement: Added SetMaxContent for FlowToItem and improved handling for Flow Tanks. 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

FlexSim 2024 Update 2 is now available for download. You can view the Release Notes in the online user manual. FlexSim 24.2.0 Release Notes For more in-depth discussion of the new features, check out the official software release page: FlexSim 2024 Update 2: Curve Fitter, Process Flow Breakpoints, and more If you have bug reports or other feedback on the software, please create a new idea in the Bug Report space or Development space.

FlexSim 2024 Update 2 Beta is now available. FlexSim 24.2.0 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.

Sometimes a model isn't repeatable. This can be due to a variety of factors. See the article below: https://answers.flexsim.com/articles/21666/model-repeatability-15.html The debugging steps in that article are still valid for smaller models. This article applies to large (millions or billions of events) and made in 24.0 or later. The first step is to run the model twice, changing the log file each time. Set the log file to FFLog.sqlite or similar. Enable logging, reset, and Fast Forward to the stop time. Close the Event Log window for better performance. Set the log file to DrawLog.sqlite or similar. Enable logging, reset, and run to the stop time. Be sure that the 3D view is open and drawing. Close the Event Log for better performance. Normally, after running the model, you'd export the data to a CSV file and use a diff tool. For large event logs, this becomes impractical. Instead, you can use the attached python script, which visits each row of both logs looking for a difference in time. If there is a difference, it reports the changed event and the previous five events for both logs. This is significantly faster than doing a full diff. Once you know the time of the changed event, you can view the full event info in FlexSim. This is the first clue to why the model is not repeatable. The changed event is a symptom of some other issue. At this point, you need to discover why the event is different. For example, if an AGV arrives at a location at a different time, look at where the AGV was travelling, and see if you can see a reason that the time for the arrival would be different. compare_logs.zip

Sometimes data exists in Google Sheets that needs to be brought in to FlexSim. There are multiple ways to do this, discussed in this article. Copy and Paste This is the easiest method to get data from Google Sheets into FlexSim. Here's how it works: Open the desired sheet in your browser Click the top-left corner to select everything. Copy the data (use ctrl-C) Open FlexSim Create a Global Table if you haven't already Ensure the number of rows and columns in the Global Table is large enough to hold the pasted data. Click on the column header for the first row in the Global Table. Paste the data (use ctrl-V) Pros: Quick, easy Cons: Need to resize the global table correctly beforehand, repeat entire process if data changes. Export/Import via CSV This is also any easy method to get data. Here are the steps: Download your sheet as a csv file. In FlexSim, use the importtable() command to dump the csv into the global table. For example: importtable(Table("GlobalTable1"), "data.csv", 1) You could add this code to your model's OnReset trigger if desired. Pros: Quick, table sized to csv data automatically Cons: Repeat downloading csv if the data changes. Export/Import via XLSX You can also download a google spreadsheet as an Excel file. Then you can use the Excel importer as normal. Pros: Quick, table sized to data automatically, many options for configuring Cons: Repeat downloading xlsx file if the data changes Import via Python This method is more advanced and requires some configuration for the model and your Google account. Once complete, however, changes can be pulled in automatically without any manual steps. Follow the Sheets quickstart for python found here: https://developers.google.com/sheets/api/quickstart/python Following this guide walk you through creating a Google Cloud Project and creating credentials for that project. In addition, consider using this modified python file instead. This file creates a get_values method that the model can call, and that method is also called from main(), so it's easy to test in a python debugger: import os.path from google.auth.transport.requests import Request from google.oauth2.credentials import Credentials from google_auth_oauthlib.flow import InstalledAppFlow from googleapiclient.discovery import build from googleapiclient.errors import HttpError # If modifying these scopes, delete the file token.json. SCOPES = ["https://www.googleapis.com/auth/spreadsheets.readonly"] # The ID and range of a sample spreadsheet. SAMPLE_SPREADSHEET_ID = "----- add your sheet's ID here -------------" SAMPLE_RANGE_NAME = "A1:B" def get_values(): """Shows basic usage of the Sheets API. Prints values from a sample spreadsheet. """ creds = None # The file token.json stores the user's access and refresh tokens, and is # created automatically when the authorization flow completes for the first # time. if os.path.exists("token.json"): creds = Credentials.from_authorized_user_file("token.json", SCOPES) # If there are no (valid) credentials available, let the user log in. if not creds or not creds.valid: if creds and creds.expired and creds.refresh_token: creds.refresh(Request()) else: flow = InstalledAppFlow.from_client_secrets_file( "credentials.json", SCOPES ) creds = flow.run_local_server(port=0) # Save the credentials for the next run with open("token.json", "w") as token: token.write(creds.to_json()) try: service = build("sheets", "v4", credentials=creds) # Call the Sheets API sheet = service.spreadsheets() result = ( sheet.values() .get(spreadsheetId=SAMPLE_SPREADSHEET_ID, range=SAMPLE_RANGE_NAME, valueRenderOption="UNFORMATTED_VALUE") .execute() ) values = result.get("values", []) return values except HttpError as err: return [] def main(): values = get_values() if not values: print("No data found.") return for row in values: print(row) if __name__ == "__main__": main() Save the above script next to your model. Create a user command in your model. Format the user command for python and enter the file name and method name. It might look something like this: /**external python: */ /**/"sheets"/**/ /** \nfunction name:*/ /**/"get_values"/**/ The return type of the command should be var which means any Variant type. Use code like the following to clone the data to a global table: Array values = getValues(); // call the user command. Array colHeaders = values.shift(); for (int i = 1; i <= values.length; i++) { Array row = values; row[0] = nullvar; } Table(values).cloneTo(Table("GlobalTable1")); Add the above code to a reset trigger. Pros: automatic once complete, easy to keep data up-to-date Cons: requires complicated setup, some python coding. The script could be adjusted to download additional ranges, and then return all data at once, but that requires some code ability. Import via HTTPS Google recommends you use a client library to access its APIs. However, it is entirely possible to use HTTPS requests instead. This could all be done from FlexScript, with no additional installations required. Pros: done all from FlexScript, no extra installs Cons: very technical Conclusion There are several ways to extract data from Google Sheets into FlexSim. Each has pros and cons. Choose the one that best fits your circumstances. Good luck!

The attached model contains a basicTE to mimic some operations of a Tower Crane. You should be able to use it like any other task executer. Labels on the crane allow the speeds and operating heights to be altered. To change the jib/beam length use the label parameter and it will apply at reset. Similarly, to change the height for now just change the tower height and press reset to have the rest attached at the correct height. TowerCrane_basicTEexample.fsm Update: Added a user library that will scale the crane based on the model units. Also changed some labels so that rotational speed is specified there and the jib/beam now uses the object properties for max speed and acceleration. TowerCrane.fsl