def main(): start_time = time.time() orders_analysis = model_inventory.analyse_orders_abcxyz_from_file( file_path="data.csv", z_value=Decimal(1.28), reorder_cost=Decimal(5000), file_type="csv") sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders, runs=1, period_length=12) sim_window = simulate.summarize_window(simulation_frame=sim, period_length=12) sim_frame = simulate.summarise_frame(sim_window) optimised = simulate.optimise_service_level( service_level=95.0, frame_summary=sim_frame, orders_analysis=orders_analysis.orders, runs=1, percentage_increase=1.30) for s in optimised: print(s.orders_summary()) end_time = time.time() elapsed = end_time - start_time print(elapsed)
def main(): start_time = time.time() orders_analysis = model_inventory.analyse_orders_abcxyz_from_file( file_path="data.csv", z_value=Decimal(1.28), reorder_cost=Decimal(5000), file_type="csv" ) sim = simulate.run_monte_carlo(orders_analysis=orders_analysis.orders, runs=1, period_length=12) sim_window = simulate.summarize_window(simulation_frame=sim, period_length=12) sim_frame = simulate.summarise_frame(sim_window) optimised = simulate.optimise_service_level( service_level=95.0, frame_summary=sim_frame, orders_analysis=orders_analysis.orders, runs=1, percentage_increase=1.30, ) for s in optimised: print(s.orders_summary()) end_time = time.time() elapsed = end_time - start_time print(elapsed)
def test_summarize_simulation(self): orders_analysis = analyse_orders_abcxyz_from_file( file_path=ABS_FILE_PATH["COMPLETE_CSV_SM"], z_value=Decimal(1.28), reorder_cost=Decimal(5000), file_type="csv", ) simulation_windows = simulate.run_monte_carlo(orders_analysis=orders_analysis, runs=1, period_length=12) collect_sim = [] for i in simulate.summarize_window(simulation_frame=simulation_windows): collect_sim.append(i) self.assertEqual(len(collect_sim), 39)
def test_summarize_simulation(self): app_dir = os.path.dirname(__file__, ) rel_path = 'supplychainpy/data2.csv' abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path)) orders_analysis = analyse_orders_abcxyz_from_file(file_path=abs_file_path, z_value=Decimal(1.28), reorder_cost=Decimal(5000), file_type="csv") simulation_windows = simulate.run_monte_carlo(orders_analysis=orders_analysis, runs=1, period_length=12) collect_sim = [] for i in simulate.summarize_window(simulation_frame=simulation_windows): collect_sim.append(i) self.assertEqual(len(collect_sim), 32)
def quick_test(self): sim = simulate.run_monte_carlo(orders_analysis=self.__orders_analysis, runs=100, period_length=12) sim_window = simulate.summarize_window(simulation_frame=sim, period_length=12) #for item in sim: # for s in item: # if s[0].get('sku_id')=='KR202-209': # print(s) #print(sim_window) frame_summary = simulate.summarise_frame(sim_window) #print(frame_summary) #for item in frame_summary: # if item.get('sku_id')=='KR202-209': # print(item) print(frame_summary)
def test_summarize_simulation(self): app_dir = os.path.dirname(__file__, ) rel_path = 'supplychainpy/data.csv' abs_file_path = os.path.abspath(os.path.join(app_dir, '..', rel_path)) orders_analysis = analyse_orders_abcxyz_from_file( file_path=abs_file_path, z_value=Decimal(1.28), reorder_cost=Decimal(5000), file_type="csv") simulation_windows = simulate.run_monte_carlo( orders_analysis=orders_analysis.orders, runs=1, period_length=12) collect_sim = [] for i in simulate.summarize_window( simulation_frame=simulation_windows): collect_sim.append(i) self.assertEqual(len(collect_sim), 32)