Build your model: Generate aircraft orders

Now that the SimPy environment and resources have been created, let's link it with a generator that simulates aircraft purchase orders. There are 30 aircraft orders.

The assembly_line() function makes sequential resource requests for the different aircraft component manufacturing sections. The code below shows one such request.

# Open the resource step_1_fuselage request
with step_1_fuselage.request() as slot_request_1:
  request_1_time = env.now
  yield slot_request_1
  print(f"time: {env.now:7.4f} | Aircraft {aircraft_id:02d} 
                               | Enters: step_1_fuselage 
                               | Queued for {env.now-request_1_time} hours")
  yield env.timeout(processing_time[processing_time_step_names[0]])

Este ejercicio forma parte del curso

Discrete Event Simulation in Python

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Instrucciones del ejercicio

Create a for-loop to make all order requests (total_num_orders) using a dummy variable named request_i.
Create a new process for each aircraft request during the for-loop; all processes are based on the generator assembly_process_request.
All 30 aircraft have been requested in one batch, so complete the code to reflect no waiting time between requests.

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Prueba este ejercicio completando el código de muestra.

def order_aircraft(env, total_num_orders, step_1_fuselage, step_2_wings, step_3_power_plant, step_4_landing_gear):
    
    # Generate the orders with a for-loop
    ____ request_i in range(total_num_orders):

        assembly_process_request = assembly_line(env, request_i, step_1_fuselage, step_2_wings, step_3_power_plant, step_4_landing_gear)

        # Initiate an assembly line process for each request
        env.____(assembly_process_request)

        # Clock-in the time between requests
        yield env.timeout(____)

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