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.

Deze oefening maakt deel uit van de cursus

Discrete Event Simulation in Python

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Oefeninstructies

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.

Praktische interactieve oefening

Probeer deze oefening eens door deze voorbeeldcode in te vullen.

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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