Smart Factory Faker

how to use

pip install smart-factory-faker

This is a project that can build a fake data set with a process. You can define the route of the process and by defining the sensor, you can build a data set of the process in progress.

Tutorial

• Tutorial

version

V 0.1.0

• define process
• define facilities, and sensors
• return to dataframe

V 0.2.0

• return to csv
• return by facilies (it will return to seperated datafram by facilities)

V 0.2.1

• Or gate can difine probability for branching
• raise erorr when branch probability is not define

V 0.3.0

• Create BoolSensor

V 0.4.0

• Create method using heap(This function is more accurate Processor class is no longer maintained)

V 0.4.1

• Can visualize the difined route

v 0.5.0

• Huristic visualizer function is created(This function plots a number on a edge)

V 0.5.1

• Visualizer can show sensor infomation

V 0.6.0

• Sensor data can be generated for multiple distributions
• More sophisticated timestamps of sensor data generated by the process

V 0.7.0

• Sensor data can be visualized as a plot

V 0.7.1

• Refactoring the code

V 0.7.2

• fixed bug

V 0.7.3

• Change the code to get the next node

V 0.8.0

• Can be separated by facility

V 0.9.0

• refactoring code
• can see facilities history(Facility performance record => DataFrame(columns = [@timestamp, expire, wait]))