From fe6aba586e72129d9df5cd28634236382f63e773 Mon Sep 17 00:00:00 2001 From: Tom Date: Thu, 20 Aug 2020 12:01:37 -0400 Subject: [PATCH] Doco updates (#1) * Documentation Updates --- .gitignore | 4 +- README.md | 192 ++++++++++++----------- docs/equipment.png | Bin 0 -> 16576 bytes docs/libre-line-performance.png | Bin 0 -> 167382 bytes docs/libre-order-state-model.drawio | 1 + docs/libre-order-state-model.png | Bin 0 -> 11883 bytes docs/product-operation.png | Bin 0 -> 12101 bytes docs/product.png | Bin 0 -> 10946 bytes docs/raw-material.png | Bin 0 -> 25636 bytes docs/reason-codes.png | Bin 0 -> 31217 bytes docs/scheduler-order-mgt-table-panel.gif | Bin 0 -> 1009970 bytes docs/simulator.png | Bin 0 -> 13107 bytes docs/try-it-out.md | 24 +-- 13 files changed, 120 insertions(+), 101 deletions(-) create mode 100644 docs/equipment.png create mode 100644 docs/libre-line-performance.png create mode 100644 docs/libre-order-state-model.drawio create mode 100644 docs/libre-order-state-model.png create mode 100644 docs/product-operation.png create mode 100644 docs/product.png create mode 100644 docs/raw-material.png create mode 100644 docs/reason-codes.png create mode 100644 docs/scheduler-order-mgt-table-panel.gif create mode 100644 docs/simulator.png diff --git a/.gitignore b/.gitignore index ffd85d5..0b96066 100644 --- a/.gitignore +++ b/.gitignore @@ -1,2 +1,4 @@ /grafana/plugins -/grafana/plugins/ \ No newline at end of file +/grafana/plugins/ +tmp +tmp/ \ No newline at end of file diff --git a/README.md b/README.md index 5cb3d46..cdc12b5 100644 --- a/README.md +++ b/README.md @@ -2,17 +2,19 @@ > Open source Manufacturing Execution and Performance Monitoring built on [Grafana](https://grafana.com), [Influx](https://www.influxdata.com/), and [Postgres](https://www.postgresql.org/). -Define your master data, push your machine metrics to modernize your manufacturing and start collecting and analysing your manufacturing data with Libre. Libre is an open source manufacturing execution and performance monitoring tool. +Define your master data, push your machine metrics, start collecting and analyzing your manufacturing data with Libre. Libre is an open source manufacturing execution and performance monitoring tool. - _Define:_ Your manufacturing master data including your enterprise model, downtime reasons, products, ingredients and product steps. - _Capture:_ Connect up your machines using a variety of methods into key buckets with an InfluxDB Historian -- _Use:_ Schedullers create and schedule orders, operators execute orders and capture downtime reasons. +- _Use:_ Schedulers create and schedule orders, operators execute orders and capture downtime reasons. - _Improve:_ Get key insights into your manufacturing, understand your biggest losses, visualize OEE. -- _Extensible:_ Built on Grafana, Influx and postgres push your key process parameters to view alongside your production dashboards. Extend with your Grafana dashboards. +- _Extensible:_ Built on Grafana, Influx and postgres push your key process parameters to view alongside your production dashboards. Extend with your Grafana dashboards. Free to innovate. + +![Libre](docs/libre-line-performance.png) ## Try it out -Use the [Libre Simulator](https://github.com/Spruik/Libre-Simulator) to test out Libre. The quickest way to run Libre and the Libre Simulator it is with with docker-compose `docker-compose -f docker-compose.yml -f docker-compose.sim.yml up -d` command. This will start up Libre and the simulator together. After running the command, browse to `http://localhost:3000` to access Grafana and `http://localhost:1880` to control the simulation. +Use the [Libre Simulator](https://github.com/Spruik/Libre-Simulator) to test out Libre. The quickest way to run Libre and the Libre Simulator it is with the docker-compose command `docker-compose -f docker-compose.yml -f docker-compose.sim.yml up -d`. This will start up Libre and the simulator together. After running the command, browse to `http://localhost:3000` to access Grafana and `http://localhost:1880/ui` to control the simulation. See [Try it out](/docs/try-it-out.md) for more information. @@ -26,10 +28,11 @@ Libre requires the following on an x86 architecture server - docker-compose (>= 1.25 required) - git (>= 2 optional) -The `docker-compose.yml` file is required to start. Easiest way to get is to clone this repository. +The `docker-compose.yml` file is required to start. Easiest way to get this is to clone this repository. ```shell $ git clone https://github.com/Spruik/Libre + Cloning into 'Libre'... remote: Enumerating objects: 165, done. remote: Counting objects: 100% (165/165), done. @@ -39,149 +42,162 @@ Receiving objects: 100% (165/165), 176.45 KiB | 3.60 MiB/s, done. Resolving deltas: 100% (49/49), done. $ docker-compose up -d -Creating libre-grafana_postgres_1 ... done -Creating libre-grafana_influx_1 ... done -Creating libre-grafana_postREST_1 ... done -Creating libre-grafana_grafana_1 ... done +Creating network "libre_default" with the default driver +Creating volume "libre_grafana_plugins" with default driver +Creating volume "libre_grafana_provisioning" with default driver +Creating volume "libre_postgres_data" with default driver +Creating volume "libre_influx_data" with default driver +Creating libre_influx_1 ... done +Creating libre_postgres_1 ... done +Creating libre_grafana_1 ... done +Creating libre_postREST_1 ... done -$ ``` #### Set Grafana Admin Password -Once Libre is installed and running. Navigate to `http://:3000/` and you will be prompted to login. Use the default grafana login username `admin` and password `admin`. You will then be prompted to change the default password. +Once Libre is installed and running, navigate to `http://:3000/` and use the default Grafana login username `admin` and password `admin` to login. You will then be prompted to change the default password. ### Define your factory Model Define your factory model using the provided `SmartFactory/Master Data` dashboard. Start by long-clicking the Enterprise in the equipment panel and add a Site. Long-click the newly created site and add an Area. Continue this process to add in a Line and equipment on the line. Add in any additional Sites, area, lines and equipment to mimic your enterprise. +![Equipment](/docs/equipment.png) + Next, define your reason codes. Long click ReasonCodes in the Reason Codes panel and add a category. Once a category has been created, long click the category to add in a reason. -| Two recommend categories are `Planned` and `Unplanned` +> Two recommend categories are `Planned` and `Unplanned` -Ingredients are added during product operations. Products are made up of a number of product operations. Finally products can be categorized by groups. Start by entering in Raw Material information by clicking the (+) on the Raw Material panel. These are the ingredients that go into your final product. Once raw materials have been added, add in the required Product Operationsin the Product Operation panel. Product Operations are the steps to manufacture the final product and is where a raw ingredient is added. For example `Fill Tank` or `Add Label`. +![Reason Codes](/docs/reason-codes.png) -Once Raw Materials and Product Operations are added create a Product group using the Products Panel. Click the (+) and select Product Group, enter a name and save. Follow the same process and select Product. You can now add any number of product operations, and optionally an ingredient, to the product definition. At a minimum provide a product name, product group and save. Repeat for all your products. +Raw Materials are added during product operations. Products are made up of a number of product operations. Finally, products can be categorized by groups. Start by entering in Raw Material information by clicking the (+) on the Raw Material panel. These are the ingredients that go into your final product. Once raw materials have been added, add in the required Product Operations in the Product Operation panel. Product Operations are the steps to manufacture the final product and is where a raw ingredient is added. For example `Fill Tank` or `Add Label`. -Now that you have defined your factory model, downtime reasons, ingredients, product operations and products your are ready to start schedulling orders. +![Raw Materials](docs/raw-material.png) -### Schedulling Orders +![Product Operations](docs/product-operation.png) -Schedule orders on your lines using the `SmartFactory/Schedulling` dashboard. To setup use the `Production Line Start Time Setter` to define the start time for each line. This is the time whereby an order will be first scheduled for the day. For 24hr operation, set to 12:00AM. +Once Raw Materials and Product Operations are added create a Product group using the Products Panel. Click the (+) and select Product Group, enter a name and save. Follow the same process and select Product. You can now add any number of product operations, and optionally an ingredient, to the product definition. At a minimum provide a product name, product group and save. Repeat for all your products. -Use the `Scheduler Order Management Table` panel to create orders. Click the (+) define the order details and submit. Orders can be edited until they are released. Once an order has been released it can no longer be edited. Orders are edited by clicking in them in the panel. Orders have the following state model: - -```mermaidjs -stateDiagram - Created --> Released - Released --> Next - Released --> Running - Released --> Closed - Next --> Released - Next --> Running - Running --> Paused - Paused --> Running - Paused --> Complete - Running --> Complete - Paused --> Closed - Complete --> Closed -``` +![Products](docs/product.png) -The `SmartFactory/Line Schedule` dashboard shows the schedule for the selected manufacturing line. Orders can be set to next/running so that they are visible on the `SmartFactory/Line Performance` dashboard. +Now that you have defined your factory model, downtime reasons, ingredients, product operations and products your are ready to start scheduling orders. -### Executing Orders and Integrating Machines +### Scheduling Orders -Orders be executed by clicking from the list in either `SmartFactory/Line Performance` or `SmartFactory/Line Schedule` and selecting Running. Only a single order can be Running at once per line. The Paused state can be used to pause orders until they are ready to be execute on again or completed. Once an order is running machine state and counts are logged against that order. +Schedule orders on your lines using the `SmartFactory/Schedulling` dashboard. To setup use the `Production Line Start Time Setter` to define the start time for each line. This is the time whereby an order will be first scheduled for the day. For 24hr operation, set to 12:00AM. -#### Integrating Machine State +Use the `Scheduler Order Management Table` panel to create orders. Click the (+) define the order details and submit. Orders can be edited until they are released. Once an order has been released it can no longer be edited. Orders are edited by clicking in them in the panel. -Machines will need to push data to the following buckets and schemas. +![Scheduler Table](docs/scheduler-order-mgt-table-panel.gif) -#### Availability +Orders have the following state model: -The machine will need to publish to the `Availability` Influx bucket with the following information. It is important that the tags match the [model definition](#Define-your-factory-Model). Log data on state change. +![Libre Order State Model](docs/libre-order-state-model.png) -- `Site` -- `Area` -- `Line` +The `SmartFactory/Line Schedule` dashboard shows the schedule for the selected manufacturing line. Orders can be set to next/running so that they are visible on the `SmartFactory/Line Performance` dashboard. -and fields: +### Executing Orders -- `idle`, `stopped` - number - ∈ [1, 0] for active / not active -- `stopped` - number - ∈ [1, 0] for active / not active -- `held` - number - ∈ [1, 0] for active / not active -- `execute` - number - ∈ [1, 0] for active / not active -- `complete` - number - ∈ [1, 0] for active / not active -- `status` - string - ∈ ['idle', 'stopped', 'held', 'execute', 'complete']. String representation of state +Orders be executed by clicking from the list in either `SmartFactory/Line Performance` or `SmartFactory/Line Schedule` and selecting Running. Only a single order can be Running at once per line. The Paused state can be used to pause orders until they are ready to be execute on again or completed. Once an order is running machine state and counts are logged against that order. -the following fields are for classification of downtime category/reason. The Machine can self report (if known), otherwise leave blank. An operator can always split a reason and override +### Integrating Machines -- `category` - string - Label of Category -- `reason` - string - Label of Reason -- `parentReason` - string - child reason of category (same as reason above) -- `comment` - string - Comment on the reason +Machines will need to push data to the following buckets and schemas. -#### Performance +#### Availability -The machine will need to publish to the `Performance` Influx bucket with the following information. It is important that the tags match the [model definition](#Define-your-factory-Model). Log data on state, planned rate or a significant actual_rate change. +The machine will need to publish to the `Availability` Influx bucket with the following information. It is important that the tags match the [model definition](#Define-your-factory-Model). Log data on state change. `category`, `reason`, `parentReason` and `comment` are for classification of downtime category/reason. The Machine can self report (if known), otherwise leave blank. An operator can always split a reason and override + +| Name | Type | Variable Type | Details | +|--------------|-------|---------------|-----------------------------------------------------------------------------------------------| +| Site | tag | string | | +| Area | tag | string | | +| Line | tag | string | | +| idle | field | number | ∈ [1, 0] for active / not active | +| stopped | field | number | ∈ [1, 0] for active / not active | +| held | field | number | ∈ [1, 0] for active / not active | +| execute | field | number | ∈ [1, 0] for active / not active | +| complete | field | number | ∈ [1, 0] for active / not active | +| status | field | string | String - ∈ ['idle', 'stopped', 'held', 'execute', 'complete']. String representation of state | +| category | field | string | Label of the category | +| reason | field | string | Label of the reason | +| parentReason | field | string | Child reason of the category (same reason as above) | +| comment | field | string | Comment on the reason | -- `Site` -- `Area` -- `Line` +#### Performance -and fields: +The machine will need to publish to the `Performance` Influx bucket with the following information. It is important that the tags match the [model definition](#Define-your-factory-Model). Log data on state, planned rate or a significant actual_rate change. Ensure to use identical units for `planned_rate` and `actual_rate`. + +| Name | Type | Variable Type | Details | +|--------------|-------|---------------|-----------------------------------------------------------------------------------------------| +| Site | tag | string | | +| Area | tag | string | | +| Line | tag | string | | +| idle | field | number | ∈ [1, 0] for active / not active | +| stopped | field | number | ∈ [1, 0] for active / not active | +| held | field | number | ∈ [1, 0] for active / not active | +| execute | field | number | ∈ [1, 0] for active / not active | +| complete | field | number | ∈ [1, 0] for active / not active | +| status | field | string | String - ∈ ['idle', 'stopped', 'held', 'execute', 'complete']. String representation of state | +| planned_rate | field | float | The planned rate or line theoretically best possible rate | +| actual_rate | field | float | The actual machine rate | -- `idle`, `stopped` - number - ∈ [1, 0] for active / not active -- `stopped` - number - ∈ [1, 0] for active / not active -- `held` - number - ∈ [1, 0] for active / not active -- `execute` - number - ∈ [1, 0] for active / not active -- `complete` - number - ∈ [1, 0] for active / not active -- `status` - string - ∈ ['idle', 'stopped', 'held', 'execute', 'complete']. String representation of state +#### Quality -the following fields are for performance calculation +The machine will need to publish to the `Quality` Influx bucket with the following information. It is important that the tags match the [model definition](#Define-your-factory-Model). Log data on state, planned rate or a significant actual_rate change. -- `planned_rate` - float - The planned rate or line theoretically best possible rate -- `actual_rate` - float - The actual machine rate +| Name | Type | Variable Type | Details | +|--------------|-------|---------------|-------------------------------------| +| Site | tag | string | | +| Area | tag | string | | +| Line | tag | string | | +| Temp | field | number | Quantity of good product this order | -Ensure to use identical units for planned_rate and actual_rate. +#### Order Performance -#### Quality +The machine will need to publish to the `OrderPerformance` Influx bucket with the following information. Log data on issued_qty change. -The machine will need to publish to the `Quality` Influx bucket with the following information. It is important that the tags match the [model definition](#Define-your-factory-Model). Log data on state, planned rate or a significant actual_rate change. +| Name | Type | Variable Type | Details | +|--------------|-------|---------------|-----------------------------------| +| order_id | tag | string | Current order id | +| issued_qty | field | number | Count of good products this order | -- `Site` -- `Area` -- `Line` +### Analyzing the Manufacturing Data -and fields: +Analyse your manufacturing data using the `SmartFactory/Line Performance` and `SmartFactory/Analysis` dashboards. Line Performance offers analysis of performance and availability whilst the Analysis dashboard drills into time loss through Downtime Pareto graphs and sunbursts of both Downtime duration and frequency. -- `Temp` - number - Quantity of good product this order +## Developing -#### Order Performance +Prerequisites -The machine will need to publish to the `OrderPerformance` Influx bucket with the following information. Log data on issued_qty change. +- docker (>= 18 required) +- git (>= 1.20 required) -- `order_id` +1. Run the docker compose with the docker-compose.dev.yl file. Include the --build argument to build containers from source. `docker-compose -f docker-compose.dev.yml up --build` +2. To clear data whilst developing ensure to remove volumes `docker-compose -f docker-compose.dev.yml rm -v` -and fields: +## Building -- `issued_qty` - number - Quantity of good product this order +Prerequisites -### Analysing the Manufacturing Data +- docker (>= 18 required) +- git (>= 1.20 required) -Analyse your manufacturing data using the `SmartFactory/Line Performance` and `SmartFactory/Analysis` dashboards. Line Performance offers analysis of performance and availability whilst the Analysis dashboard drills into time loss through Downtime paretos and sunbursts of both Downtime duration and frequency. +1. Clone this repository with `git clone https://github.com/Spruik/Libre` and enter directory `cd Libre` +2. Change directory into grafana and build the container `cd grafana`, `docker build . -t spruiktec/libre-grafana` +3. Change directory up one level, into postgres and build the container `cd .. && cd postgres`, `docker build . -t spruiktec/libre-postgres` ## Contributing For any issue, there are fundamentally three ways an individual can contribute: - By opening the issue for discussion: For instance, if you believe that you have uncovered a bug in, creating a new issue in the [GitHub issue tracker](https://github.com/Spruik/Libre/issues) is the way to report it. -- By helping to triage the issue: This can be done either by providing supporting details (a test case that demonstrates a bug), or providing suggestions on how to address the issue. +- By helping to triage the issue: This can be done either by providing supporting details (a test case that demonstrates a bug) or providing suggestions on how to address the issue. - By helping to resolve the issue: Typically, this is done either in the form of demonstrating that the issue reported is not a problem after all, or more often, by opening a Pull Request that changes some bit of something in the panel in a concrete and reviewable manner. ## License -Libre is distrbuted under the [Apache 2.0 License](https://github.com/spruik/libre/blob/master/LICENSE). +Libre is distributed under the [Apache 2.0 License](https://github.com/spruik/libre/blob/master/LICENSE). ## Change Log diff --git a/docs/equipment.png b/docs/equipment.png new file mode 100644 index 0000000000000000000000000000000000000000..59c71bc8c07e7693fab630f205629f01208570e5 GIT binary patch literal 16576 zcmeHvWmr^e8}2A33Tzb+q}&Q9-BJP;jdZt?0@B^vLP;4~Kt#HwWr%@|fHZz#MK@jUl^Klkics>-rtq?brhC={8z+&y&^iXxd|AO5WD*ZTI(rzl3qN3o$iFQ)&!Vj7o6oYC-6X>vAh)fqOy>GWA8Ru?%|fwjG~ z4vWnDcZOIK=#9Hu@ZN^4LbwTWi%Yv*(>|YHHJ?y#aKyeRII%>r9f5A5O!+52KdNk- zuHeWbxL&7PSWGSpn%=8z+w!@#=!JYB@JyT>bN_{4_5`I?%Ebtkp{J+Akn6k>@tv%b zUdh3mEf#O`mvWxTAXnp!J1qMKgYo7!Lwimk7y59|PRic7io8^Eh*dKQqyKWIJ6ToE z#kGkHm;2TGf$%lKqwr?^y0CYX(>sG}<2N(R9Nwy0ZU1erWPJ?Y2~2pf9&EN$?K&Ff 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z$$ieU78bo882d_uW1~B^)PmM+@Ihmhd3|$2LQ?7Pv5oZw@D;a$W9i{Ui}b+QCqK96Csk^X0Vc8*>?RT^5QYsmYw>uWcY70eE20w!7f9W{0b{-U z-lT(orU;N*g9p(y4~B~|M*=W6AKS99ZyM=p(KCJ(@~!`W5e1?T?g zTrt>u)df9x9$Xfrt=F;~|F_$pas#)^aGbwJOFzQ8H-)(Xt7?9KubY-MWvU3mU{hWR zW-|l`E9ZCLoQQGP*d@3xD5$F#&-6CPkhg5=y64v7nm_Keko1Tpb~T5=7hJS;#0Rt( znJc3h$UG*cLs|dt;p MnYXV?rA&kV7mU@iL;wH) literal 0 HcmV?d00001 diff --git a/docs/try-it-out.md b/docs/try-it-out.md index 8651750..265c874 100644 --- a/docs/try-it-out.md +++ b/docs/try-it-out.md @@ -28,21 +28,21 @@ Resolving deltas: 100% (49/49), done. ```shell $ docker-compose -f docker-compose.yml -f docker-compose.sim.yml up -d -Creating network "libre-grafana_default" with the default driver -Creating volume "libre-grafana_grafana_plugins" with default driver -Creating volume "libre-grafana_grafana_provisioning" with default driver -Creating volume "libre-grafana_postgres_data" with default driver -Creating volume "libre-grafana_influx_data" with default driver -Creating libre-grafana_influx_1 ... done -Creating libre-grafana_postgres_1 ... done -Recreating libre-grafana_simulator_1 ... done -Creating libre-grafana_postREST_1 ... done -Creating libre-grafana_grafana_1 ... done +Creating network "libre_default" with the default driver +Creating volume "libre_grafana_plugins" with default driver +Creating volume "libre_grafana_provisioning" with default driver +Creating volume "libre_postgres_data" with default driver +Creating volume "libre_influx_data" with default driver +Creating libre_influx_1 ... done +Creating libre_postgres_1 ... done +Creating libre_simulator_1 ... done +Creating libre_postREST_1 ... done +Creating libre_grafana_1 ... done ``` 3. Navigate to `https://localhost:3000` log into grafana with username admin and password admin. Explore the SmartFactory dashboard folder. -4. Navigate to `https://localhost:3000` to start/stop and complete a line. +4. Navigate to `https://localhost:1880/ui` to start/stop and complete a line. -## Example +![Simulation](simulator.png)

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