diff --git a/src/calculation_time_constrains/service.py b/src/calculation_time_constrains/service.py
index 01c6930..93d35fc 100644
--- a/src/calculation_time_constrains/service.py
+++ b/src/calculation_time_constrains/service.py
@@ -813,13 +813,13 @@ async def get_calculation_result(db_session: DbSession, calculation_id: str, tok
         # seeing the implementation of the code, it is not possible to determine exactly what it is
         # doing. It could be used to store monthly metrics for a plant, calculate metrics, or perform
         # some other operation related to plant data.
-        plant_monthly_metrics = await plant_simulation_metrics(simulation_id=scope_calculation.rbd_simulation_id, location_tag="plant", use_location_tag=0, token=token, last_oh_date=prev_oh_scope.end_date, max_interval=scope_calculation.max_interval)
+        # plant_monthly_metrics = await plant_simulation_metrics(simulation_id=scope_calculation.rbd_simulation_id, location_tag="plant", use_location_tag=0, token=token, last_oh_date=prev_oh_scope.end_date, max_interval=scope_calculation.max_interval)
         
-        REFERENCE_CAPACITY = 630  # or 550
-        COST_PER_MWH = 1_000_000  # rupiah
+        # REFERENCE_CAPACITY = 630  # or 550
+        # COST_PER_MWH = 1_000_000  # rupiah
 
-        plant_capacity_loss_money = [metrics['derated_mwh'] * COST_PER_MWH for metrics in plant_monthly_metrics.values()]
-        cumulative_loss_money = np.cumsum(plant_capacity_loss_money)
+        # plant_capacity_loss_money = [metrics['derated_mwh'] * COST_PER_MWH for metrics in plant_monthly_metrics.values()]
+        # cumulative_loss_money = np.cumsum(plant_capacity_loss_money)
         
         # # raise Exception(plant_monthly_metrics)
 
@@ -827,7 +827,7 @@ async def get_calculation_result(db_session: DbSession, calculation_id: str, tok
         for month_index in range(data_num):
             month_result = {
                 "overhaul_cost": 0.0,
-                "corrective_cost": cumulative_loss_money[month_index],
+                "corrective_cost": 0.0,
                 "procurement_cost": 0.0,
                 "num_failures": 0.0,
                 "day": month_index + 1,