Build your model: Control assembly line response

Now that you have defined your SimPy environment and resources, as well as the generator that creates aircraft orders, it’s time to create a generator to characterize the response of the assembly line, given the known processing times and limited resources available.

Questo esercizio fa parte del corso

Discrete Event Simulation in Python

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Istruzioni dell'esercizio

Make a slot request for step_2_wings as slot_request_2 and yield the request.
Make a slot request for step_3_power_plant as slot_request_3 and yield the request.
Make a slot request for step_4_landing_gear as slot_request_4.

Esercizio pratico interattivo

Prova a risolvere questo esercizio completando il codice di esempio.

def assembly_line(env, aircraft_id, step_1_fuselage, step_2_wings, step_3_power_plant, step_4_landing_gear):

    processing_time_step_names = list(processing_time.keys())

    with step_1_fuselage.request() as slot_request_1:
        yield slot_request_1
        yield env.timeout(processing_time[processing_time_step_names[0]])

    # Make slot request for step_2_wings and yield the request
    with step_2_wings.request() as ____:
        request_2_time = env.now
        ____ slot_request_2
        yield env.timeout(processing_time[processing_time_step_names[1]])

    # Make slot request for step_3_power_plant and yield the request
    with step_3_power_plant.request() as ____:
        request_3_time = env.now
        ____ slot_request_3
        yield env.timeout(processing_time[processing_time_step_names[2]])

    # Make slot request for step_4_landing_gear
    with step_4_landing_gear.request() as ____:
        request_4_time = env.now
        yield slot_request_4
        yield env.timeout(processing_time[processing_time_step_names[3]])

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