Пример #1
0
    warehouse_area_ratio = 2
    trunk_ratio = 0.2


# load the data
filename = "model_input_WL.xlsx"
data_ins = DataHandler(file=filename, config=Config)

df_performance = pd.DataFrame()
m = 0
# for num in range(37, 3, -1):

# for num in range(4,21):
for num in [10]:
    # define the facility location model
    log.info('the model {} is running ....'.format(num))
    Config.num_rdc = num
    Config.area_ratio = data_ins.warehouse_coeff[num]
    location_model = FacilityLocation(data=data_ins, config=Config)
    model = location_model.facility_location()
    if model == 0:
        continue
    log.info('the model is end')

    # toC
    df_c_network = location_model.c_end_network()
    df_c_network.to_csv('C_Network_{}.csv'.format(num))

    if Config.sku_split:
        df_cdc_rdc_network = location_model.cdc_rdc_network()
        df_cdc_rdc_network.to_csv('CDC_RDC_Network_{}.csv'.format(num))
Пример #2
0
        scheduler = Scheduler(Config, data_ins)
        model = scheduler.resource_scheduler_expected()
        solution, employee_num = scheduler.scheduler_solution()
        # total_cost, total_basic_cost, total_payment, total_discount_payment = scheduler.total_cost()
        # result_df = scheduler.scheduler_result()
        # result_df.to_excel('results/results_{}.xlsx'.format(key.strftime('%Y-%m-%d')))
        result_solution[key.strftime('%Y-%m-%d')] = dict(solution)
    with open("results/solution_{}.json".format(mode), "w") as fp:
        json.dump(result_solution, fp)

    fp.close()

elif mode =='expected_cvar':
    result_solution = {}
    for key in data_ins.demands.keys():
        log.info('running the model based on {} predicted results'.format(key.strftime('%Y-%m-%d')))
        data_ins.demands_daily = (data_ins.demands[key])
        scheduler = Scheduler(Config, data_ins)
        model = scheduler.resource_scheduler_expected_cvar()
        solution, employee_num = scheduler.scheduler_solution()
        # total_cost, total_basic_cost, total_payment, total_discount_payment = scheduler.total_cost()
        # result_df = scheduler.scheduler_result()
        # result_df.to_excel('results/results_{}.xlsx'.format(key.strftime('%Y-%m-%d')))
        result_solution[key.strftime('%Y-%m-%d')] = dict(solution)
    with open("results/solution_{}.json".format(mode), "w") as fp:
        json.dump(result_solution, fp)

    fp.close()