Nesse vídeo disponível no canal Youtube da FlexSim Brasil, demonstramos como retornar as licenças standalone do FlexSim em um procedimento simples e rápido. Para licenças em rede, o procedimento é diferente, no entanto, o arquivo com as instruções para retorno das licenças standalone e em rede, encontra-se anexo nesse artigo. passoa-passo-retorno-de-licenca-flexsim.pdf flexsimlicenseserver-upgrade.pdf flexsimlicenseserver-installation.pdf

RailWorks 22.1.0 is now available ( 26 July 2022). This version of RailWorks is intended for use with FlexSim 2022. 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 developmentbrflexsim@flexsimbrasil.com.br About RailWorks The FlexSim Brasil 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. For any questions, please email developmentbrflexsim@flexsimbrasil.com.br Release notes RailWorks 22.1.0 Release for FlexSim 2022 Update 1 Refactor: Changed the model limit control and system functionality Feature: Added the PreCreate activity in ProcessFlow Bug Fix: Fixed various bugs affecting the locomotive and wagon movement. Bug Fix: Fixed a bug affecting the model limit creating new models. Bug Fix: Fixed a bug affecting the model limit window with multiple modules installed.

In version 2018 and forward, you can make this chart using a Chart Template. You can simply drag and drop the chart from the dashboard library. This article may help you understand how the chart template works. You can use the Install button on the chart template to view the Process Flow, Statistics Collector, and Calculated Table that make the chart. This article reviews how to use the Zone, along with the Statistics Collector, to create a bar chart of the current work-in-progress (WIP) by item type. The method scales to as many types as you need (this example uses 30 types), and can easily adapted to text data, like SKU. An example model ( zonecontentdemo.fsm) demonstrates this method. Creating the Process Flow To create this chart, we first need to gather the data for this chart. In this case, it is easiest to build off the capabilities of the Zone. In particular, we will use Zone Partitions to categorize all of our object. After we set up the Zone, we'll use a Statistics Collector to gather the data that we need. Create a new General Process Flow. You can have as many General Process Flow objects as you want, so let's one that just deals with gathering statistics. This way, gathering statistics will not interfere with the logic in our model. The process flow should look something like this: Here's how it works. The Listen to Entry is configured to listen to a group of objects. In this case, the group contains all the sources in the model, and it's listening to the OnExit of the sources. However, it could be OnEntry or OnExit of any group of 3D objects. If you want to split the statistics by Type or SKU, then any flowitem that reaches the entry group already has the appropriate labels. In this example model, when a flowitem leaves any source, a token gets created. The token makes a label called Item that stores a reference to the created item, as shown in the following picture. The next step is to link the flowitem with the token that represents it. The Link Token to Item is configured like this: Now, the Item has a label that links back to the token. The token then enters a zone. The Zone is partitioned by type: At last, the token comes to a decide activity. The decide is configured not to release the token. The token will be released by the second part of the flow. Once the token is released, it exits the zone, and goes to a sink. The second part of the flow also has an event-triggered source, that is configured to listen to all the sinks in the model. Again, the entry objects and exit objects are arbitrary; you can gather data for the entire model, or for just a small section of the model, using this method. The event triggered source also caches off the item in a label. At this point, we need to release the token that was created when items entered the system. To do this, the Release Token activity is configured as seen here: The token created on the exit side has a reference to the item, which has a reference back to the token created on the entry side. We release this token to 1, which means connector 1. Note: We could have used a wait for event activity in the zone, and then used the match label option to wait for the correct item to leave the system. However, this method is much, much faster, especially as the number of tokens grows. Creating the Bar Chart Statistics Collector The next step is to create a statistics collector that gathers data appropriate for a bar chart. Note that this method will grow the number of rows dynamically, so that it won't matter how many types (or SKUs) your model has; you will still get one bar per type/SKU. In order to make the number of rows dynamic, we need to listen to the OnEntry and the OnExit of the zone activity: Notice the shared label on this collector. Because this label is shared, both the OnEntry and OnExit events will create this label on the data object. The value of this label is the item's type. Next, we move to the Data Recording tab. Set the Row Mode to Unique Row Values, and set the row value to Partition. This means that whenever an event fires, the statistics collector will look at the partition label on the data object. If the value is new to the statistics collector, the collector will make a new row for this value. If not, then the collector will use the row that is already present. Finally, we need to make our columns. We only need two columns: one for the Partition, and one for the Content of that partition. Both of these columns can use the Integer storage type, and raw display format. However, if your partition value was text-based, like an SKU, you should use the String storage type. The value for Partition is just the data object's Partition label: Notice that the Update option is set to When Row is Added. This way, the statistics collector knows that this value will not change, and that it's available at the time the row is created. The other column is a little harder, because we need to use the getstat command: The getstat command arguments depend on the stat you are trying to get. In this case, we are asking the zone (current, the event node) for the Partition Content statistic. We want the current value. Since this is a process flow activity, we pass in the instance as the next argument. Finally, we pass in which partition we want to get the data from, the row value. In this case, we could have identically passed in data.Partition. Also, notice that this column is updated by event dependency. To make sure this does what we want, we need to edit the event/column dependency table. We want the Content column to be updated when items enter and exit, so it should look like this: Now, open the table for the statistics collector. You should see two columns. When you run the model, rows will be added as items of different types are encountered. The table will look something like this: This screenshot came from early in the model, before all 30 types of item has been encountered, so it doesn't have 30 rows yet. Making the Bar Chart This is the easiest part. Create a new dashboard, and add a new bar chart. Point the chart at the statistics collector. For the Bar Title option, choose the Partition column. Be sure to include the Content column. Also, make sure that the "Show Percentages" checkbox on the Settings tab is cleared. The settings should look like this: The resulting chart looks something like the following image. You can set the color on the Colors tab. Ordering the Data Because the rows of this table are created dynamically, the order of the rows will likely change run to run. To force an ordering, you can use a calculated table. Since the number of rows on this table don't grow indefinitely, and the number is relatively small, it's okay to set the Update Mode on the calculated Table to always. Here's what the properties of that calculated table look like: We simply select all columns from the target collector (CurrentContent, in this case) and order it by the Partition column. That yields an ordered bar chart: Example and Additional Charts The attached example model demonstrates this method, as well as how to create a WIP By Type vs Time chart: Happy data collecting! zonecontentdemo.fsm

FlexSim 2022 Update 1 Beta is now available. (Updated March 28) FlexSim 22.1.0 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. Subsequently 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 email dev@flexsim.com or create a new idea in the Development space.

Have you ever encountered this error?   --- Status... Status: 4 Creating request Status: 5 Request created Status: 6 Context created Status: 7 Connected to remote server Status: 0 Error ERROR: flxActAppReturnSend - (50018,41145,32) "Failure to send request or receive a response for an unspecified reason. Recovery: check parameters used for the request." ---   We're looking for more information on this error. If you're encountering this error, please comment below.   This error appears to be a communication error where the client PC may have an Internet connection, but is not successful in contacting the license server. This may be due to a firewall misconfiguration or a proxy server.   You may want to make sure your client PC can connect to FlexSim's servers (addresses and ports listed in this article).   You may also need to configure FlexSim to communicate through your proxy server:  

This article reviews one method for making a state Gantt chart for the default and alternate state profiles: Example Model You can download the model for this walkthrough ( stateganttdemo.fsm). The model has two multiprocessors, in a Group called Multiprocessors. Each multiprocessor has two processes: Process1 and Process2. To make the chart, we will first make a Statistics Collector, and then a Calculated Table. Making the Statistics Collector Make a new Statistics Collector. On the Event Listening tab, use the Sampler to listen to On State Change of the group of multiprocessors. You can leave the parameter names alone. However, we need to add a label, so we can record the profile number. Select the new event, and then use the green plus button in the Event Labels area to add a label for this event. Set its name to ProfileNum, and its value to the following code: data.StateProfileNode?.rank The event settings should look something like the following: Next we need to set the row mode. Make sure it's set to Add Per Event, with no row value. As the final configuration step for the statistics collector, we need to set up the columns. There should be four columns in this collector: Time - In the pick options, select Time, then Model Date/Time Object - In the pick options, select IDs, then ID of Event Object Profile - Type data.ProfileNum for the value. The default storage and display format are fine. State Type the following code: data.eventNode.as(Object).stats.state(data.ProfileNum).profile[data.ToState + 1][1] Set the Storage Type to String The code is necessary because On State Change occurs before the state is set to the new state. So the code is looking up the name of the future state in the profile table. When you reset and run this model, you will see a table like the following: Making the Calculated Table Make a new Calculated Table, and give it the following query: SELECT Object, Time as StartTime, LEAD(Time) OVER (PARTITION BY Object) AS EndTime, State FROM StatisticsCollector1 WHERE Profile = 1 This query creates an Object column as well as a Time column. To get the time that the current state ends, we look to when the next state begins. The LEAD() function looks ahead in the table, and the OVER(PARTITION BY Object) clause makes sure that LEAD() makes sure to look to the next row with the same Object. We also record the state column, and filter out the standard state profile, keeping the special multiprocessor state profile. Once you get this query to work, change the Update Mode to By Interval, and set the interval to 20 or 30. Since the Statistics Collector table will get longer and longer, the query will become more and more expensive as the model runs. To control how much time is spent running the query, we use an interval. The final configuration of the Calculated Table should look like this: You will need to set the Display Format of each column on the Display Format tab (Object, Date/Time, Date/Time, and Raw). Making the Chart Make a new dashboard, and create a Gantt chart. Point it at the Calculated Table. When you do that, the chart should fill in all the other columns correctly. Charting Both State Profiles for Both Objects In order to chart both profiles on the same chart, we first need to add a column to the Statistics Collector, and then update the query in the Calculated Table. The new column should be named ObjectAndProfile, and a Storage Type of String. Use the following code for a value: data.eventNode.name + " - " + string.fromNum(data.ProfileNum.as(int)) Then change your query to the following: SELECT ObjectAndProfile, Time as StartTime, LEAD(Time) OVER (PARTITION BY ObjectAndProfile) AS EndTime, State FROM StatisticsCollector1 With these changes, you should be able to view both profiles for both multiprocessors.

FlexSim 2017 Beta is available. (updated 30 Nov 2016) To get the beta, log in to your account at www.flexsim.com, then go to the Downloads section, and click on More Versions. It will be at the top of the list. If you have bug reports or other feedback on the software, please email dev@flexsim.com or create a new idea in the Development space. Release Notes Improved FlexScript performance by compiling and executing it as machine code instead of interpreted bytecode. Added new syntax to FlexScript for accessing objects' methods and properties, including dynamic label access. Improved OpenGL compatibility by removing many deprecated function calls and adding support for the OpenGL Core Profile. Added a mechanism for loading DWG data into the tree using the Model Background object. Added a new Snap to Background setting on the 3D view for snapping to points loaded from a DWG file. Upgraded the licensing system to Flexnet Publisher 2016 R1 (11.14). Changed the network licensing system so that you can open multiple FlexSim instances using only one license seat. Added a Quick Library popup to Dashboard views. Added Travel to Location pick option to OnResourceAvailable. Added Export Results to CSV pick option to the End of Experiment trigger Fixed some issues with auto-complete not displaying correctly. Fixed a crashing bug with settablesize() on tables with bundle data. Process Flow Added functionality for snapping activities into the middle of a block. Improved the Activities window, including renaming activities, better filtering options, and locating label references. Added a Billboard setting for Text objects. Added a right-click Edit Activity Visuals option. Added an option to the Create Object activity for positioning an object at another object's location without moving into that object. Added a Preserve Global Position checkbox to the Move Object activity. Updated the Schedule Source table so that it can add labels. Updated the Release Token activity to allow numbers and strings. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. The new version of Flexnet Publisher requires network license servers to be upgraded. They need to use the latest vendor daemon and update the Flexnet Licensing Service. More information can be found in the license upgrade instructions at https://www.flexsim.com/ftp/LicenseServer/ Updated the Separator's order of events (executing OnEntry before Setup Time) to be consistent with the Processor. Users of the mesh api should update usage of GL_QUADS to use GL_TRIANGLES instead. GL_QUADS is deprecated and will not work when using the OpenGL Core Profile. Since the new FlexScript parser compiles to machine code, the order in which parameters are evaluated has changed to be aligned with the x86/x64 calling convention. This means models containing code where parameter evaluation order is important may have changed results. For example, the following code will have different results: myusercommand(duniform(1, 5), duniform(1, 10)) In the x86/x64 calling convention, parameters are evaluated from last to first. In this case, the duniform(1, 10) call will be called first. Since this call changes the state of random stream 0, changing the order of parameter evaluation changes the result. The new parser has a stricter grammar for the == and != comparison operators. The types of the operands must be the same or related. For example, the following code will now give compile errors because it is comparing unrelated types: double x = 0; treenode y = model(); if (x == y) { } This version introduces a new Array type, which is an array of variants, enabling a more feature rich array usage. In doing this, we are deprecating the old array types of doublearray, intarray, stringarray, and treenodearray. Specifically, the old array types are now just aliases for the standard Array type. This means that you can now, technically, put a string into a doublearray and vice versa, because they are all just Arrays. Hence we encourage you to just use Array in your code instead of the old array types. This change has also introduced a problem regarding the Variant type. In previous versions, the Variant could hold each of the four types of arrays, and it had a type value associated with each type, which you could get with the getvartype() command, comparing that value to one of VAR_TYPE_INTARRAY, VAR_TYPE_DOUBLEARRAY, VAR_TYPE_STRINGARRAY, or VAR_TYPE_TREENODEARRAY. Now, however, since we've merged all of those types into one, all of those values would theoretically be the same value, introducing issues if you had code that switches on getvartype(), or in some cases if you had a series of if/else compares on that value. Depending on the specific nature of that code, it would be hard to predict exactly how that code would behave going forward. Thus, we have decided to get rid of those old macros for each array type. Now there is just the macro VAR_TYPE_ARRAY. If you have existing code that uses the older macros, you will get compile errors when you open your model in version 17.0. We do this specifically so that you will be notified of code that needs to be updated. There are also several pick list options in the process flow module that use these older macros. Version 17 includes update scripts that will hopefully update all of those pick options in existing models to use the new VAR_TYPE_ARRAY macro instead of the old macros. With the new FlexScript parser, there are now some differences with how the parser compares a null variant to 0. In the old parser, the following expressions applied: (nullvar == 0) is false (nullvar <= 0) is true (nullvar >= 0) is true In the new parser, the following expressions apply: (nullvar == 0) is false (nullvar <= 0) is false (nullvar >= 0) is false This brings the <= and >= operators inline with the == operator. However, old code will evaluate differently now. The following expressions apply in both the new and old parsers: (nullvar < 1) is true (nullvar > -1) is true The param() command will now return nullvar if the parameter number is greater than the number of parameters passed to the function (previously it returned 0).

This article demonstrates how to use the Statistics Collector and Calculated Tables to create three utilization pie charts: a state pie chart an individual utilization pie chart a group utilization pie chart Example Model You can download that model (utilizationdemo.fsm) to see the working demonstration. The model has a Source, a Processor, a Sink, a Dispatcher, and several operators. The operators carry flow items to and from the processor, as well as operate the processor. The operators are in a group called Operators. State Pie Chart First, we need to make a Statistics Collector that collects state data for the operators. The easiest way to do that is to use the pin button to pin the State statistic for any object in the model. Use the pin button to pin a pie chart to a new dashboard. The pin button creates a new Statistics Collector, as well as a new chart. Open the properties for new Statistics Collector (double click on it in the toolbox), and change its name to OperatorStatePie. On the Data Recording tab, remove the object from the Enumerated Rows table. Using the sampler, add the Operators group (you can sample it in the toolbox). Now, when you reset and run the model, the state chart should work. Utilization Pie Chart Often, users need to combine sever states into a single value that can be used to determine the utilization of an object in the model. In order to gather this data, we can use a calculated table. Make a new Calculated Table, and give it the following query: SELECT Object, (TravelEmpty + TravelLoaded + Utilize) / Model.statisticalTime AS Busy, 1 - Busy AS NotBusy FROM OperatorStatePie This query sums the time in several states into a total, and then divides by the statistical time. Be sure to set the name of the table (the part after FROM) to the name of your Statistics Collector. Run the model for a little bit of time, and then click the Update button on the properties window. You should get a table like the following: Instead of viewing the data as just numbers, change the Display Format of each column to better represent the data. On the Display Format tab, set the Object column to display Object data. Then set the other two columns to display percentages. When you switch back to the Calculations tab, the data will be formatted: Once we get the query right, set the update mode to Always. This will updated the data in the table whenever the data is needed, including every time the chart draws. If updating the table is computationally expensive, you can use the By Interval or Manual options. Generally, a small number of rows (1-100) is small enough to use the Always mode. Regardless of the update mode, we can make a chart based on this table. In the dashboard, create a new Pie Chart. For the Data Source, select the calculated table. For the Pie Title, select the Object column. For the Center Data, select the Busy column. Be sure to include the Busy and NotBusy columns. This should show you a pie chart, comparing the operator's busy and not busy time. Group Utilization To make the final utilization chart, make a second calculated table. The query for the second table should be as follows: SELECT AVG(Busy) AS AvgBusy, AVG(NotBusy) AS AvgNotBusy FROM CalculatedTable1 Again, use the Update button to be sure the query is correct. Once it is, set the update mode to Always. Finally, you can make the pie chart for this data: Things to Try If you feel comfortable with this model, you can try a couple extra tasks, such as: Remove one of the operators from the group, reset, and run. The charts will update accordingly. Add the Processor to the group, reset, and run. The state chart should work automatically.

The Statistics Collector is a powerful object. Its purpose is to record data about the model run as a table, and it is very effect at doing that. However, it is very abstract; being abstract allows it to be highly flexible, but makes it more difficult to learn. This article is meant to help you understand (or remember) how the Statistics Collector models the problem of converting model data from objects and events into a table of data. This article compares a Statistics Collector to a train being loaded an unloaded. It is NOT an article about how to model a trainyard or other rail-industry systems. The purpose is to compare the Statistics Collector, which is very abstract, to something most people understand. So we'll start by talking about the story of a simple freight train. This story has the following elements: Starting - the train starts its journey a the beginning of the line Loading Stops - the train makes several stops along the way to load goods Unload Planning - unlike a normal train, this train determines where it needs to go after this point based on what was loaded into the train Unloading Stops - the train makes several stops along the way to unload goods This is a very simple story. Just keep the sequence in mind - the train starts, makes several load stops, figures out its destinations, and then makes several unload stops. To see how this is like a Statistics Collector, take a look at this model: StatsCollectorVisualization.fsm This model is very simple. It consists of a Source, Queue, Processor, and a final Queue: Items are generated at the Source and flow through the Model. Items have a Type label, so that there are three Types of items: Type 1, Type 2, and Type 3. If you zoom out, you'll see a much bigger section of the model: This section simulates the logic of a Statistics Collector. As the model runs, you'll see AGVs run along the track, like a train. You'll see them make several stops and pick up boxes. Then you'll see them stop at the "Table" (the bigger black box in the image above) and "unload" data into the table. The Statistics Collector tool is a lot like this simulation. It has an internal "train", and you reference that train with the keyword data. When you use the Statistics Collector, you are configuring the journey of the train, which determines what data is recorded in your table. Starting the Train The statistics collector creates a train (the data object) when it observes an event. You configure which events a Statistics Collector cares about on the Events tab. You can listen to many different things, including: A flowitem enters or exits an object A token enters or exits an activity The model is reset The model gets to the warmup time Whenever any of these things happen, the Statistics Collector creates a train (again, called data) and starts it going on its journey. In this example, the Statistics Collector listens for items to enter Queue1. It also listens for items to exit the processor. Either event will start a train. Loading the Train Once the train is going, the Statistics Collector "loads" the train with information. In reality, this happens by adding labels and setting values on data. First, data gets all the values associated with the event (the event parameters) assigned as labels. Then, data gets all the labels specified in the "Additional Labels" section. Finally, data visits the Row Value station. Here, the special property called rowValue is set. Note that as you load the train, you can use anything already on the train to get more information loaded on train. In the example model, the row value is set to "data.item.Type"; data is the train, and the "item" label is already on board, so the row value field can use that to load additional information. Unload Planning The next stop for the train is something that you can't really see, but that is very important. The Statistics Collector inspects the row value on data. The Statistics Collector remembers all row values that it has ever inspected, and it adds a row to the table for each unique row value. This is where the row value got its name. If the Statistics Collector sees a value it has never seen before, it adds a row to the table, and associates the new row with the row value. Once the row is either added or found, the Statistics Collector sets the property rowNum on data. So now, the train knows which row it is going to visit. All that is left in this phase is to figure out which columns the train will visit. First of all, if the row was added, the train will visit all the columns to set their initial value, which is called the Row Add Value (the value to set when the row is added). Whether or not the row was added by the event, the train will also visit any columns that are connected to the event, setting the value to the Event Value (the value to set when a connected event happens). So in summary, the Statistics Collector figures out which row the train will visit based on the row value, adding a row if necessary. If the row was added, then the train visits all columns in the row, to set the Row Add Value. If the event is connected to any columns, the train will also visit those columns, and set the Event Value. Unloading the Train Finally the train can unload data into the table. As it visits each cell, it unloads information into that cell. As the user, you configure what gets unloaded at each cell. You can unload anything into the cell, including anything on the train, anything connected to anything on the train, or anything globally accessible. In reality, whenever the Row Value or Event Value is evaluated, you can access and labels or properties on data. You can also use values on data to access other values. Or you can access global values, such as the current model time, or a Global Variable, or a value in a Global Table. In the example model, the Event Value field accesses the value that is currently in the table at the cell being visited by data. Does the statistics collector really have to travel? In the visualization model, the data train takes up time on the clock to load, plan, and unload. However, for the true Statistics Collector, all of that happens in zero time. For example, when an item enters Queue1, the real statistics collector in the model finishes updating instantaneously. In contrast, the visualized statistics collector train is still moving to get more labels. This is for illustration purposes only. What about "Update when accessed" columns? All Statistics Collectors know when something is trying to read their values. For example, if you have a chart pointed at a Statistics Collector, and that chart repaints, it will read the Statistics Collector. Or if you access the table through FlexScript with code like Table("MyStatisticsCollector")[1][1], that will read the Statistics Collector also. So in a way, it's just another event. However, there are two differences: You can't load custom labels on the train for this event; it "skips" those stops The train visits all rows in the table When you set a column to update when the value is accessed, you are basically connecting it the "OnAccess" event. So when the table is accessed, the data train visits all rows of the table. For each row, it gets the rowValue and rowNum properties set, and then it visits all the "update on access" columns. What about other features? This article just covers the basics, and doesn't cover other features of the Statistics Collector. Just know that there are many ways to configure the train's journey. For a full reference, see https://docs.flexsim.com/en/21.0/Reference/Tools/StatisticsCollector/ However, all of the features discussed in the reference add more detail; you can just improve your mental image of how the Statistics Collector works.

In version 2018 and on, you can make this chart by dragging the Throughput Per Hour by Type template from the dashboard library. If you install the template (available on the Advanced tab), you will see a Process Flow and a Statistics Collector appear in your toolbox. One of the most common questions from FlexSim users is as follows: How do I make a chart that shows the output every hour? You can make this chart in three steps. Configure the Statistics Collector First, you need a Statistics Collector. Make a new one in the toolbox (click the green plus button, select Statistics, and then select Statistics Collector). On the event listening tab, use the green plus button to add a timer event, and configure as shown here: This timer event will fire every hour (every 3600 seconds) in the model. Notice the shared label, that is storing all members of the Processors group as an array. We will use this label in the next step. Once you have configured the timer, then you need to set up the row mode for this collector. We want one row per processor, and we need to use the Processors label as the row value. Since the Processors label is an array, we will get three rows per timer event, each row corresponding to a processor. Finally, we can add the columns. The three columns are as follows: Time - use the pick list to select Model Date/Time from the Time menu Object - use the pick list to select ID of row value from the IDs menu Output - use the pick list to select Statistic by Object from the Object Statistics menu Use data.rowValue as the object value in the popup If you use the pick options to choose these options, then the storage type and display format options should be set automatically. With these three columns in place, we can watch the table populate. Reset and run the model at high speed. Every model hour, you should see a new set of rows appear, one for each processor in the group. The table will look something like this: Configure the Calculated Table The Statistics Collector table from the previous steps is close to what we want, except that the output value always increases as the model runs. But what about the output for just a single hour? To get that value, we can use a Calculated Table. Make a new calculated table, and give it the following query (in the Query field): SELECT Time, Object, ISNULL(Output - LAG(Output) OVER (PARTITION BY Object), 0) AS OutputPerHour FROM StatisticsCollector1 This query uses SQL window functions. Basically, it says that each row's value should subtract the previous row's value for the object. In addition, if that value is NULL (because it's the first row), then just use a value. If you reset and run the model, so that the collector table has at least a few rows in it, click the Update button to run the query. Notice that the Time and Object columns show numbers. This is because the Calculated Table can't infer the formatting of the column. To set the formatting, use the Display Format Tab. You may also wish the table to update every hour, with the Statistics Collector. Make the Chart Now that our data is correct, we can make a chart. Make a new dashboard, and create a Time Plot chart. Point the chart to the calculated table. Let's use the Time column for the X values, and let's use the OutputPerHour column for the Y values. In addition, make sure to split by the Object column. If the calculated table updates every hour, then running the model should create the chart shown at the beginning of the model. Here is the model used to create this chart (should work in 2017 Update 2 Beta or later; beta must be built on or after August 21, 2017). outputperhourdemo.fsm

Here on Answers it's often helpful to post code in a question or an answer. When you do so, there are certain steps that should be taken to avoid being blocked by Answers' internal security mechanisms. This article describes the proper way to submit code without arousing suspicion from our threat detection software. Some of our customers are all too familiar with the screen below after asking a question or adding a comment that includes code. What is Cloudflare? Cloudflare is a 3rd party threat detection software specifically designed to detect malicious code/software that may threaten a website. Once you've seen this screen above, there is no way for us to un-block you, as it is an automated 3rd party software. Unfortunately, at this point you have to wait a variable amount of time until Cloudflare decides your IP address is no longer a threat and you will again be allowed access to answers.flexsim.com. What am I doing wrong? This warning usually presents itself when code has been typed or pasted directly into the body of your post, like this: How do I properly format my code? First paste or type your code into the body of your post. Then, highlight your code and click the Code button in the toolbar. It looks like this: < > How can I tell if my code is properly formatted? After highlighting your code and clicking the code < > button, you will see that your code now has a border and light background: Remember, if you have multiple blocks of code, you can select just the code you want to be grouped together in the first block, hit the code button in the toolbar, and then select the second group of code and again hit the code button to make the second code block, etc. After you submit your post, you will see your code formatted with syntax highlighting, a mono-spaced font, and the lines numbered, like this: Conclusion Adding code to your post is an essential task for many of our customers. If you follow these guidelines, you should be able to avoid being blocked and ensure you have uninterrupted service on our answers site. If you feel you have properly entered code and are still being blocked, please inform us and include the code and method of formatting you were using when you were blocked. We'll gladly look into it. As a fallback, you can take a screenshot of your code and add it to your post as an image, but still let us know there was an issue, and we'll look into it. Finally, if you're in a hurry and Answers troubles are keeping you from getting the help you need, remember to contact your local FlexSim representative directly by phone or email.

RailWorks 23.0.1 is now available ( 24 January 2023). This version of RailWorks is intended for use with FlexSim 2023. 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 dev@flexsimbrasil.com.br About RailWorks The FlexSim Brasil 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. For any questions, please email dev@flexsimbrasil.com.br Release Notes The following is a list of features and fixes that have been included in the latest RailWorks releases. RailWorks 23.0.1 (24 January 2023) Release for FlexSim 2023.0 RailWorks 22.2.3 (24 January 2023) Bug Fix: Fixed various bugs affecting the locomotive movement. Feature: Added automatic train detection and anticipation of movement. Feature: Added a wait logic on locomotive to continue with movement when rail is not on use.RailWorks 21.2.4 Feature: Added GIS Portal object for integration with GIS Map. Release for FlexSim 2022 Update 2 All bug fixes in RailWorks 21.2.4 below. RailWorks 22.2.2 (12 December 2022) All bug fixes in RailWorks 21.2.3 below. RailWorks 22.2.1 (25 November 2022) Release for FlexSim 2022 Update 2 Bug Fix: Fixed various bugs affecting the definition of traveling routes Bug Fix: Fixed various bugs affecting the locomotive and wagon movement amongst the rail tracks Bug Fix: Fixed a bug affecting the usage of multiple locomotives at same railway Bug Fix: Fixed a bug affecting the offset distance in Control Points Bug Fix: Fixed a bug affecting the Decouple activity and Couple by another Locomotive Retroative Release: New versions released with bugs fixed from 2021.2 to 2022.2 All bug fixes in RailWorks 21.2.2 below. RailWorks 22.1.4 (24 January 2023) All bug fixes in RailWorks 21.2.4 below. RailWorks 22.1.3 (12 December 2022) All bug fixes in RailWorks 21.2.3 below. RailWorks 22.1.2 (23 November 2022) All bug fixes in RailWorks 21.2.2 below. RailWorks 22.1.1 (26 July 2022) Release for FlexSim 2022 Update 1 Refactor: Changed the model limit control and system functionality Feature: Added the PreCreate activity in ProcessFlow Bug Fix: Fixed various bugs affecting the locomotive and wagon movement. Bug Fix: Fixed a bug affecting the model limit creating new models. Bug Fix: Fixed a bug affecting the model limit window with multiple modules installed. All bug fixes in RailWorks 21.2.1 below. RailWorks 22.0.4 (24 January 2023) All bug fixes in RailWorks 21.2.4 below. RailWorks 22.0.3 (12 December 2022) All bug fixes in RailWorks 21.2.3 below. RailWorks 22.0.2 (23 November 2022) All bug fixes in RailWorks 21.2.2 below. RailWorks 22.0.1 (26 July 2022) Release for FlexSim 2022 Refactor: Changed the way that Rails can be resized and moved. Feature: Added the RailWorks manual to FlexSim. Feature: Added travel offset to the MoveTrain activity. Feature: Added speed profiles to the Locomotive. That means that you can now set the speed of a Locomotive based upon if it is coupled to a Wagon or not. Feature: Added acceleration and deceleration of locomotives. Feature: Added RailwayTimetable, providing observability for the model as it saves every important event in RailWorks, like the time when a locomotive arrived at a station, as an example. Feature: Added a new model to the Stations: Fuel Station. Feature: Added a new model to the Stations: Flow Station. Feature: Integration with FloWorks. Feature: Added loading modes to thee LoadWagon activity. Bug Fix: Fixed various bugs affecting the locomotive movement. Bug Fix: Fixed a bug affecting the load and unload actions. Bug Fix: Fixed a bug affecting the Experimenter. All bug fixes in RailWorks 21.2.1 below.

FlexSim 2018 Update 2 is available. If you have bug reports or other feedback on the software, please email dev@flexsim.com or create a new idea in the Development space. Release Notes Added an interface for running experiments and optimizations on the cloud. Added a mechanism for adding new charts as experimenter performance measures. Added a Sankey Diagram to the dashboard charts. Added a Milestone Collector statistics tool and chart templates. Added a way to customize how objects draw their 3D shape meshes. Added {} syntax to specify FlexScript expressions in SQL queries. Added a Down Behavior tool that can be used by Time Tables and MTBF MTTR objects. Added a message() method to the Object class to replace sendmessage() and senddelayedmessage(). Added a varchar bundle field type for variable-length strings. Added status bar updates to the table view. Updated the bar and pie charts with more options and data formats. Added duration settings to the gantt chart. Added new task sequence classes to the FlexScript API. Added a getCategoryName() method to the TrackedVariable class. Added getEntryFromValue() and reevaluateBackOrders() methods to the List class. Added padStart() and padEnd() methods to the string class. Added an option to sort back orders independent of entries when reevaluating back orders. Added an option to configure a list to always leave its entries on the list. Added events to the Statistics Collector. Added options for sorting rows in statistics collectors. Added dot syntax label access to List.BackOrder. Added a backOrder keyword that is available in a list back order queue strategy. Added a new overload to List.pull() that takes both an array and a query. Updated user library functionality to better handle conveyor types and containers. Updated Move into Highlighted code to preserve global position and rotation. Improved sampler options in various places. Improved drop-down options with label values in several places. Updated the Ctrl+W keyboard shortcut so it correctly closes the window that has keyboard focus. Updated the query() command to re-throw exceptions. Fixed a bug with updating bundle indexes when using certain commands. Fixed a performance bug with pasting into bundle tables. Fixed a window docking bug. Fixed a bug with the robot not drawing collision spheres or its stopped indicator. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. Changed Variant math operations on non-numbers to throw exceptions. Updated the Source to automatically attach task executer flowitems to the DefaultNavigator. Updated dumpquery() to use bundle varchar fields. Fixed an issue with the Z-axis being inverted for screen-locked shapes in perspective 3D views. Process Flow Added stop() and resume() methods to the Token class. Updated global shared assets so they now have a separate global block instance. Updated Edit Mode so you can no longer move activities when it is off. Added a check box to quick properties to turn off all trace histories. Updated Wait for Event to handle listening to arrays of objects. Updated Pull from List so you can use it with a Resource shared asset. Updated the Resource so you can point it at a global List or a List shared asset. Added a way to sample shared assets in certain fields. Updated the naming convention for Resource object copies. Added an error message when trying to rename a shared asset the same name as another. Improved the performance of the Wait for Event activity. People Updated the multi-location to allow people to enter without an available sub-location. Conveyor Added a max count slug building property to the conveyor type. Added a catch condition to the power and free functionality to customize whether a given dog will actually catch an item. Added the capability to reverse conveyors under certain conditions. Changed the roller skew kinematics to be based on item travel distance instead of time. Changed the conveyor's belt repeat distance to sync to the adjusted dog interval. Fixed a bug with decision points snapping to grid when added with a conveyor from a user library. AGV Updated path transfers to prioritize their requests. Fixed an issue with accumulating path allocations causing AGVs to get stuck. Fixed various issues with AGVs having different deceleration values. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. Improvements to AGV proximity detection on accumulating paths. Emulation Fixed Modbus polling for changes. Fixed the Modbus panels in the Variable shared asset so they show the associated object now.

FlexSim 2022 Update 2 is now available for download. For more in-depth discussion of the new features, check out the official software release page: Official Software Release Page - FlexSim 2022 Update 2: AMR Modeling, AI with Bonsai, and more You can view the Release Notes in the online user manual. FlexSim 22.2.0 Release Notes If you have bug reports or other feedback on the software, please email dev@flexsim.com or create a new idea in the Development space.

In the last little while we've had several questions regarding Picking Line operations. (How to make one, how to simplify, how to set up one using Process Flow & Lists, etc.) So I've put together a very simple little model utilizing Process Flow and a basic List structure, that shows a basic picking line. It creates orders, and sends them by tote via a conveyor, and Operators will pick items from their respective stations to fulfill the orders into the tote, before sending it to Checking and Shipping. Note that this could easily be adapted into an assembly line situation as well. pickingstations.fsm

FloWorks 17.2.0 will be released in parallel with FlexSim 2017 Update 2. This new version of FloWorks has some major changes to align it with recent updates to FlexSim, such as dot syntax, Process Flow templates, and a revised user manual. Therefore we are releasing it as a public beta. The latest beta version, released August 21, can be found in the Downloads section of your FlexSim account on the 3rd party modules tab. Click "More Versions" to show the Beta release. 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 Note: the bug fixes will also be available in versions 17.1.3 and 17.0.6, where applicable. Added FlowObject class interface ("dot syntax") for majority of FloWorks objects. Can now access products by name when using FloWorks product table (e.g. source.product = "Raw material" instead of source.product = 3 ). Can define recipes for products in the products table and dynamically load / execute them on Flow Mixers. Added Process Flow templates for mixers executing production schedule and flow tank with cleaning / certification. Updated Pin to Dashboard buttons to use Statistics Collectors to collect data. Revised most of the user manual (tutorials are missing, will be re-released in a future version). Bug fix: Calling SelectFlowIp and SelectFlowOp with multiple ports produced FlexSim error. Bug fix: When using a product table, sometimes the Product dropdown would not show the correct product when opening Properties. Bug fix: Flow Conveyor would not suspend correctly when output flow restricted.

FlexSim 2021 Update 2 Beta is now available (Updated 26 July 2021) 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. Subsequently 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 email dev@flexsim.com or create a new idea in the Development space. FlexSim 21.2.0 Release Notes Added a Template system for inheriting properties from other objects. Added new manipulation handles for moving, rotating, scaling, and connecting objects in the 3D view. Added ability to delete connector lines. Added a StateTable object. Added a getstatetableutilization() command. Added a Pass-through parameter type. Added a checkbox so transporters can move their forks separate from traveling. Added more Task Executer shapes. Improved treenode.getPath() to return a relative path to nodes that aren't a direct ancestor. Added a Frustrum Culling checkbox in Visuals. Agent Added an AgentSystems property. AGV Allowed the user to define some basic routing cost multipliers, including: An option to divide by speed, allowing for fastest path routing (instead of shortest path) An option to define a custom path-based multiplier to the cost Added Path Conditions, which allow you to "close" certain paths, based on either model state or agv state, etc. Added a Prioritize Control Point Lookahead option. A* Added the capability to have oblong grid node sizes. Allowed barriers to be inside visual tools. Added the ability to add dynamic barriers to the A* system. This is done by calling AStar.navigator.addDynamicBarrier(), then AStar.navigator.removeDynamicBarrier() to remove those barriers. Added several triggers to A* objects: AStar.Navigator: OnGridChange: called when dynamic barriers are added or removed AStar.Traveler: OnCalculatePath: called just before a traveler's path is being calculated AStar.Traveler: OnNavigatePath: Called just before a traveler runs the algorithm to define kinematics and cell allocations for traveling its path. Also allows the ability to override the default behavior and define your own. Made several additions to AStar.Traveler API, AStar.Navigator API, etc. Added a TravelPatterns property. Backwards Compatibility Note: The following changes may slightly change the way updated models behave. Improved the deadlock recovery algorithm. Now it will add each traveler in the deadlock, as well as any travelers that are waiting on those travelers, as dynamic barriers. Then it will go through each traveler in the deadlock, remove it from the dynamic barriers, add any additional travelers that are adjacent to that traveler as barriers, then try to recalculate the path to the traveler's destination. If it finds a traveler that can still travel all the way to its destination, that traveler will be rerouted. Otherwise, if it finds a traveler that can travel at least on grid square, it will reroute that traveler. Otherwise, it will give a notification of unrecoverable deadlock. GIS Added the GIS module to the Flexsim Installer. Process Flow Added a ProcessFlows property. Added a ProcessFlowVariables property. Backwards Compatibility Note: The following changes may slightly change the way updated models behave. Removed instance object editing from Object Process Flows.

FlexSim 2020 Update 1 Beta is available. (Updated 24 March 2020) To get the beta, log in to your account at www.flexsim.com, then go to the Downloads section, and click on More Versions. It will be at the top of the list. If you have bug reports or other feedback on the software, please email dev@flexsim.com or create a new idea in the Development space. Release Notes Updated the Statistics Collector to be simpler and more user friendly. Added a PowerPoint FlexScript API. Added an HTTP FlexScript API. Added a sorting tab to various charts. Improved performance of chart templates. Replaced the code profiler with a new Performance Profiler. Added a Memory Profiler. Added OnEntry and OnExit events to TaskExecuter objects. Added an icon to library items that launch a pop-out library of choices. Reorganized the dashboard library using the pop-out library to consolidate charts with multiple visualizations. Updated the WebServer to use the Version Selector. Added a Find/Replace UI for global tables. Added support for Ctrl-F and Ctrl-H keyboard shortcuts for various windows. Added support for renaming objects using the F2 keyboard shortcut. Added a Vec3 overload to the Object.setRotation() method. Added a stop parameter to the userinput() command which will stop code execution until a value is entered. Added a default parameter to the realtime() command that returns realtime(1)+0.001*realtime(2). Updated various pickoptions to use the TaskSequence and TaskExecuter APIs. Added tutorials for the Statistics Collector. Fixed some issues with the importtable() command. AGV Added new Train functionality. Added offset travel functionality to the AGV network. Added a time-based trailing option. Added the routing drawing feature to a right click option. Updated Quick Properties' apply to all selected objects functionality to work with AGV objects. Made arrows bigger. Fixed several spinners in Quick Properties not applying immediately. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. Changed behavior for when a TaskExecuter is connected to an AGV network, and is set to use the navigator for its offset travel. Previously, the navigator was hard-coded to find the closest control point. Now, you instead need to add an OnAGVOffsetTravel trigger to the navigator, wherein you can direct the AGV how to offset. People Added clipboard, test tube, and pill bottle flow items. Added a Max Speed property to Equipment objects. Updated Transport and Equipment objects to do low priority returns. Added the ability to install instanced People flows. Updated the LocationStaytimeHistory chart to handle people entering and exiting transports inside a location. Process Flow Added an AGV travel activity. Updated the Sink to notify parent tokens on a Run Sub Flow activity that the child token finished the subflow. Updated the Wait for Event and Event-triggered Source activities to be able to display more than one link at a time. Updated the sampler for Universal Edit fields to display process flow variables and current labels when sampling white space. Added a pop-out library for choosing the shape of Container objects. Added a pop-out library for choosing the type of travel activity. A* Updated the Heat Map to use a Color Pallete.

Quando desenvolvemos um modelo de simulação que possua diversas ou até mesmo elevado número de variáveis de entrada, faz-se necessário analisar diversos cenários dentro de um simulador para termos o maior número de detalhes possíveis com relação ao comportamento do sistema. No FlexSim, o recurso que permite esse tipo de análise é o Experimenter. Com ele, podemos estimar como as variáveis de entrada, afetam as respostas de um experimento e pode-se planejar de forma racional os cenários a serem executados. O vídeo explicando um pouco sobre experimentos e também falando sobre o Experimenter, encontra-se em nosso Canal no Youtube.

A narrated video demonstration of the FlexSim Healthcare Tutorial described in the FlexSim 2020 User Manual has been released! Here is a link to the written documentation: https://docs.flexsim.com/en/20.0/Tutorials/FlexSimHC/OverviewFlexSimHC/ Here's a link to the video: https://vimeo.com/394012280