O link que segue leva a um vídeo no qual é apresentada UMA entre várias formas de criar a lógica de alocação de peças no Rack. Os tópicos abordados no vídeo são: Objeto Rack Configurações lógicas do Rack Exemplo prático Vídeo Tutorial: https://youtu.be/tTeRwjt--Eo

O link abaixo, remete a um vídeo onde mostramos como usar o recurso paths para criar o percurso que recursos e pacientes devem seguir durante o fluxo dentro de um hospital, respeitando os limites dos layouts feito em Autocad e, o impacto nos indicadores usando o dashboard para análise. Vídeo Tutorial: FlexSim Healthcare - Parte II Esperamos que aproveitem esses vídeos com algumas dicas simples.

The ideal way to access the User Manual is by viewing an electronic copy either online or inside the software. Online User Manual The User Manual is available online at docs.flexsim.com. There you can select a software version and manual language. We hope to provide additional languages in the future. In-software User Manual There are two ways to open the manual inside FlexSim: Click the User Manual button on the main toolbar. Click the Help menu and then click User Manual. Why the electronic manual is preferred The online / in-software version of the User Manual is better than a print or PDF version for many reasons, including: Regular updates - The electronic version keeps up with every new FlexSim release. A printed manual unfortunately goes out of date every four months with each new release of FlexSim. The online manual allows you to also view older versions of the manual. Animated GIFs - Animations enhance communication by making it possible to see FlexSim in real time. Animated GIFs won't work in a printed copy. Better search - The online version allows you to search the manual using Google. The in-software version also has a search program which is easier than trying to find relevant keywords within a large document. Styled and reflowable tables, images, and tip boxes - While these elements look good on the web, print or PDF versions don't always correctly format their placement within the document. Better organization - A printed manual won’t always maintain the same organization as the online and in-software manual, making it more difficult to navigate. Mini-table of contents - Each topic has easy navigation within each topic via inner-links. A printed or PDF mini-table of contents (found in most topics) can't function as a clickable index, making it difficult to easily skip to relevant sections within a topic. Printing topics from the User Manual While we don't recommend printing the entire manual, you can easily print individual topics for later reference. Print from the online manual Visit docs.flexsim.com using your favorite modern web browser. Use the table of contents in the left navigation bar to visit the topic you want to print. Use the printer button in the upper right of the topic window to print the page: Print from the in-software manual In FlexSim, open the User Manual and browse to the topic you'd like to print. Press the 'world' button to open the topic in your web browser. Choose the print function inside your web browser - depending on your browser, you may be able to right-click the web page and choose Print, or you can use the keyboard combo Ctrl+P.

O presente tutorial tem como objetivo explicar o significado dos principais estados assumidos pelos objetos padrões do FlexSim em um modelo convencional que contenha tanto objetos fixos (Fixed Resources), quanto executadores de tarefas (Task Executers). Link para o vídeo: Explicação dos Principais Estados no FlexSim Obrigado.

O link que segue leva a um vídeo no qual é apresentado uma introdução à nova ferramenta do FlexSim, o Statistics Collector. No vídeo, explica-se quais são as configurações básicas da ferramenta. Também pode-se acompanhar um exemplo simples, desde a coleta de uma estatística básica, até a apresentação dos dados em um gráfico, do tipo histograma. Vídeo Tutorial: Overview sobre Statistics Collector Esperamos que aproveitem mais este vídeo tutorial.

Update: FloWorks 17.2.1 has been released on September 18. FloWorks 17.2.0 for FlexSim 2017 Update 2 has been released. 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. The bug fixes in this version are also available for FlexSim 2017 Update 1 as FloWorks version 17.1.3 and for FlexSim 2017 (LTS) as FloWorks version 17.0.6. FloWorks downloads 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 FloWorks 17.2.1 Bug fix: Adding charts using "Pin" buttons would show error message. Bug fix: Incorrect reference in Wait For Event activity in Mixer recipe schedule template for Process Flow; disabled Repeat Schedule by default. Bug fix: FloWorks objects remove pending events from the list when they are destroyed. FloWorks 17.2.0 (September 1, 2017) For FlexSim version 17.1.x use FloWorks 17.1.3. For FlexSim version 17.0.x (LTS) use FloWorks 17.0.6. 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. FloWorks 17.1.3 For FlexSim version 17.2.x use FloWorks 17.2.0. For FlexSim version 17.0.x (LTS) use FloWorks 17.0.6. 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 and Mass Flow Conveyor can cause FlexSim to crash, when used in combination with a product table. Bug fix: Flow Conveyor would not suspend correctly when output flow restricted. FloWorks 17.0.6 For FlexSim version 17.2.x use FloWorks 17.2.0. For FlexSim version 17.1.x (LTS) use FloWorks 17.1.3. Bug fix: Calling SelectFlowIp and SelectFlowOp with multiple ports produced FlexSim error.

FlexSim 2017 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 Reorganized the User Manual and updated its formatting. Added more topics, tutorials, and reference pages to the User Manual. Added new Statistics Collector and Calculated Table tools. Added new generic charts for plotting statistics gathered with Statistics Collectors and Calculated Tables. Updated the pin to dashboard buttons to create and use Statistics Collectors instead of the legacy charts. Added a Variant constructor and assignment operator to Vec3 and Color classes. Added functionality for copying dashboard charts as images, and pasting images into dashboards. Added new interfaces to FlexScript, such as Math, Group, and DateTime. Added toNum() and fromNum() methods to the string class. Added a setState() method to the Object class that will work correctly with listening to state changes. Improved handling of read-only model files. Keyboard shortcuts (Ctrl+PageUp and Ctrl+PageDown) and additional enhancements for switching tabs. Added the ability to have null values in a bundle. Added the ability to make kinematics exclude incline rotation when managing rotations. Improved the parenthesis and quote autocomplete functionality. Added autocomplete for curly and square brackets. Added a new print() command to write to the output console more easily. Added support for instanced meshes. Updated the animation system so a single shape can have multiple animators from different shape files. Changed the assimp 3D importer so that it can extract and load embedded textures. Added support for using specular maps and gloss maps. Added support for FlexScript dot syntax in SQL queries. Added the capability to specify a warmup time in the interactive model run. Added options for following objects with the view. Improved MTBF/MTTR state listening to use less events and be more precise. Updated the Network Navigator to work for an object that is inside a container that is connected to the network. Fixed a bug with global variable highlighting and autocomplete. Fixed an issue with destroying a TE on a network when it blocks space on the network. Included fixes listed in 17.1.5. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. Fixed a bug with min() and max() when using distribution functions. Previously, getting the number of columns in a Global Table using Table.numCols or gettablecols() returned 0 when the number of rows was 0. Column headers and data types are preserved even when there is no row data. These commands now return the number of columns. Changed operators to not change their incline rotation when traveling on inclines. This will change location calculations if you have advanced logic based on internal operator locations. NodeListArrays like Object.outObjects can no longer be implicitly cast to an Array. Use the toArray() method instead. Fixed a bug with animations drawing their first frame instead of their last frame at times beyond the endtime. Added a special rule for ambient color {0, 0, 0} to not use the ambient color. This change will make shapes with ambient {0,0,0} to appear brighter. Change the ambient color to a dark gray, such as {1,1,1} if you want them to remain dark. Fixed a bug in the shader that dulled specular highlights with the diffuse texture. This may change how shapes look; they may appear shinier now. Added the IS NULL and IS NOT NULL clauses to SQL. Math and comparison operators on null values now return NULL. FlexSim's SQL execution engine is now more in line with the SQL ANSI standard regarding null values. Specifically, if you do comparisons or math operations on elements that have null values, this will return null values. This is different than in FlexScript, where a null value acts like 0 in math operations. Also, null values will be ignored in aggregation functions like AVG(). An option to use legacy SQL nulls was added to Model Settings to preserve backwards compatibility. Upgraded models will automatically enable this option, but new models will default to using the SQL ANSI standard for nulls. Added support for more SQL query operators, such as the case-when-then-else-end operator and window functions. This adds many new keywords to SQL, meaning that if you used these as column names in older queries, they will create syntax errors in the query parser in this version. To fix this, put square brackets [] around the column name. Changed accessing dynamic label properties to use evaluate() instead of value. For example, consider the following code sample: Variant value = current.MyLabel; In 17.1 and previous, this code was the same as: Variant value = current.labels["MyLabel"].value; In 17.2 we changed it so that this code is now the same as: Variant value = current.labels["MyLabel"].evaluate(); The difference is in how FlexScript-toggled node values are retrieved. In 17.1 and previous, current.MyLabel would have just given the text that is the FlexScript code. In 17.2, retrieving current.MyLabel will actually evaluate the FlexScript as code. This is consistent with how table values are accessed. If you have old code that explicitly tried to get the code text with current.MyLabel, you will need to update that code in 17.2 to use current.labels["MyLabel"].value. Process Flow Added a Material Consumption and Replenishment template. Added functionality for pasting images into Process Flow views. Conveyor Added a Gap-Optimizing Merge Controller Process Flow template. Added instanced rendering to improve Render Mode performance. Changed Render Mode to be enabled by default. Added new visual options for conveyors. Improved run speed performance of the Conveyor Module. AGV Added unload-to-empty capability to the AGV Process Flow template. AStar Added a bridge element to the AStar network. Added functionality for collision avoidance. Improved heat maps for analyzing AStar traffic. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. Changed the path finding algorithm for the AStar navigator. When you tell an AStar traveler to travel to an object, now it will behave more like the default navigator. It will calculate a "threshold radius" around the object, based on the object's size. Then it will only travel to the edge of that radius. This makes it work better especially for loading/unloading to/from rack objects. The travel operation won't commit as much to traveling to the center of the object,because that can be left to the load/unload operation, which determines exactly where in the rack to pick/place the item. However, this change does affect how older models work because it changes the routes that travelers take.

Neste vídeo, abordamos de forma rápida e bem resumida, como funciona simulação em ambientes hospitalares e elaboramos uma rápida demonstração através de um passo a passo, o funcionamento do software FlexSim Healthcare. O vídeo encontra-se disponível no canal do Youtube da FlexSim Brasil.

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

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

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.

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.

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.

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.

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.

FlexSim 2017 Update 2 Beta is available. (updated 22 August 2017) 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 Reorganized the User Manual and updated its formatting. Added more topics, tutorials, and reference pages to the User Manual. Added new Statistics Collector and Calculated Table tools. Added new generic charts for plotting statistics gathered with Statistics Collectors and Calculated Tables. Updated the pin to dashboard buttons to create and use Statistics Collectors instead of the legacy charts. Added a Variant constructor and assignment operator to Vec3 and Color classes. Added functionality for copying dashboard charts as images, and pasting images into dashboards. Added new interfaces to FlexScript, such as Math, Group, and DateTime. Added toNum() and fromNum() methods to the string class. Added a setState() method to the Object class that will work correctly with listening to state changes. Improved handling of read-only model files. Keyboard shortcuts (Ctrl+PageUp and Ctrl+PageDown) and additional enhancements for switching tabs. Added the ability to have null values in a bundle. Added the ability to make kinematics exclude incline rotation when managing rotations. Improved the parenthesis and quote autocomplete functionality. Added autocomplete for curly and square brackets. Added a new print() command to write to the output console more easily. Added support for instanced meshes. Updated the animation system so a single shape can have multiple animators from different shape files. Changed the assimp 3D importer so that it can extract and load embedded textures. Added support for using specular maps and gloss maps. Added support for FlexScript dot syntax in SQL queries. Added the capability to specify a warmup time in the interactive model run. Added options for following objects with the view. Improved MTBF/MTTR state listening to use less events and be more precise. Updated the Network Navigator to work for an object that is inside a container that is connected to the network. Fixed a bug with global variable highlighting and autocomplete. Fixed an issue with destroying a TE on a network when it blocks space on the network. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. Fixed a bug with min() and max() when using distribution functions. Previously, getting the number of columns in a Global Table using Table.numCols or gettablecols() returned 0 when the number of rows was 0. Column headers and data types are preserved even when there is no row data. These commands now return the number of columns. Changed operators to not change their incline rotation when traveling on inclines. This will change location calculations if you have advanced logic based on internal operator locations. NodeListArrays like Object.outObjects can no longer be implicitly cast to an Array. Use the toArray() method instead. Fixed a bug with animations drawing their first frame instead of their last frame at times beyond the endtime. Added a special rule for ambient color {0, 0, 0} to not use the ambient color. This change will make shapes with ambient {0,0,0} to appear brighter. Change the ambient color to a dark gray, such as {1,1,1} if you want them to remain dark. Fixed a bug in the shader that dulled specular highlights with the diffuse texture. This may change how shapes look; they may appear shinier now. Added the IS NULL and IS NOT NULL clauses to SQL. Math and comparison operators on null values now return NULL. FlexSim's SQL execution engine is now more in line with the SQL ANSI standard regarding null values. Specifically, if you do comparisons or math operations on elements that have null values, this will return null values. This is different than in FlexScript, where a null value acts like 0 in math operations. Also, null values will be ignored in aggregation functions like AVG(). An option to use legacy SQL nulls was added to Model Settings to preserve backwards compatibility. Upgraded models will automatically enable this option, but new models will default to using the SQL ANSI standard for nulls. Added support for more SQL query operators, such as the case-when-then-else-end operator and window functions. This adds many new keywords to SQL, meaning that if you used these as column names in older queries, they will create syntax errors in the query parser in this version. To fix this, put square brackets [] around the column name. Changed accessing dynamic label properties to use evaluate() instead of value. For example, consider the following code sample: Variant value = current.MyLabel; In 17.1 and previous, this code was the same as: Variant value = current.labels["MyLabel"].value; In 17.2 we changed it so that this code is now the same as: Variant value = current.labels["MyLabel"].evaluate(); The difference is in how FlexScript-toggled node values are retrieved. In 17.1 and previous, current.MyLabel would have just given the text that is the FlexScript code. In 17.2, retrieving current.MyLabel will actually evaluate the FlexScript as code. This is consistent with how table values are accessed. If you have old code that explicitly tried to get the code text with current.MyLabel, you will need to update that code in 17.2 to use current.labels["MyLabel"].value. Process Flow Added a Material Consumption and Replenishment template. Added functionality for pasting images into Process Flow views. Conveyor Added a Gap-Optimizing Merge Controller Process Flow template. Added instanced rendering to improve Render Mode performance. Changed Render Mode to be enabled by default. Added new visual options for conveyors. Improved run speed performance of the Conveyor Module. AGV Added unload-to-empty capability to the AGV Process Flow template. AStar Added a bridge element to the AStar network. Added functionality for collision avoidance. Improved heat maps for analyzing AStar traffic. Backwards Compatibility Note: the following changes may slightly change the way updated models behave. Changed the path finding algorithm for the AStar navigator. When you tell an AStar traveler to travel to an object, now it will behave more like the default navigator. It will calculate a "threshold radius" around the object, based on the object's size. Then it will only travel to the edge of that radius. This makes it work better especially for loading/unloading to/from rack objects. The travel operation won't commit as much to traveling to the center of the object,because that can be left to the load/unload operation, which determines exactly where in the rack to pick/place the item. However, this change does affect how older models work because it changes the routes that travelers take.

Você tem dúvidas sobre o que é, ou como funciona o recurso List? Este Tutorial vai apresentar uma visão geral do recurso e fazer um rápido exemplo. Acesse o link : https://youtu.be/P7wGuQ7UKuQ Você pode entrar nesses outros tutoriais em português que apresentam outros exemplos da utilização do recurso: 1) https://answers.flexsim.com/articles/39239/tutorial-em-portugues-como-direcionar-os-itens-usa-3.html 2) https://answers.flexsim.com/articles/39233/tutorial-em-portugues-como-utilizar-o-recurso-list-1.html

Modeling LWBS patients is tricky business and can cause exception errors under certain circumstances if not done correctly. The problems usually arise due to patients who exit the model early while there are pending requests queued up in the model for future activities on the patient. The attached model demonstrates the current best practice for safely modeling LWBS patients without the possibility of generating unwanted errors. The modeling technique is very simply. Use the On Entry trigger of the waiting room object(s) to send a delayed message to itself in X minutes, where X is a sample time from an "impatience curve" representing the amount of time a typical patient is willing to wait before they strongly consider leaving. In the On Message trigger of the waiting room object(s), I have written a code snippet that you will want to copy and modify to suit your own modeling requirement. The code snippet in the example model checks to make sure the patient is still in the waiting room waiting for an exam room at the end of the "impatience time" when the message trigger fires. Then I roll the dice using a bernoulli distribution to decide whether or not to have the patient actually leave. The code snippet shows a different probability for each of two patient types (PCI's) and then a default probability of 50 percent for anyone else. Not only does this modeling approach avoid undesirable exception errors, but it is also more accurate and definitely more efficient than using the Quick Properties fields in the Patient Condition panel of a waiting room which requires repetitive function calls every so many minutes throughout the model run!