diff --git a/src/calculation_target_reliability/router.py b/src/calculation_target_reliability/router.py
index a381ead..dbabb06 100644
--- a/src/calculation_target_reliability/router.py
+++ b/src/calculation_target_reliability/router.py
@@ -91,7 +91,7 @@ async def get_target_reliability(
         simulation_id=simulation_id,
         token=token
     )
-
+    
     optimize_result = await identify_worst_eaf_contributors(
         simulation_result=results,
         target_eaf=eaf_input,
diff --git a/src/calculation_target_reliability/service.py b/src/calculation_target_reliability/service.py
index 1db56f3..03a929d 100644
--- a/src/calculation_target_reliability/service.py
+++ b/src/calculation_target_reliability/service.py
@@ -89,26 +89,23 @@ def calculate_asset_eaf_contributions(plant_result, eq_results, standard_scope,
 
     MIN_BIRNBAUM_IMPORTANCE = 0.0005
     REALISTIC_MAX_AVAILABILITY = 0.995  # 99.5%
-    MIN_IMPROVEMENT_PERCENT = 0.005     # 0.5%
+    MIN_IMPROVEMENT_PERCENT = 0.0001   
     min_improvement_fraction = MIN_IMPROVEMENT_PERCENT / 100.0
 
     results = []
 
     for asset in eq_results:
         asset_name = asset.get("aeros_node").get("node_name")
-        contribution_factor = 0
-        birbaum = 0
-        current_availability = 0
-        downtime = 0
         
         if asset_name not in standard_scope:
             continue
         
-        if asset:
-            contribution_factor = asset.get("contribution_factor", 0.0)
-            birbaum = asset.get("contribution", 0.0)
-            current_availability = asset.get("availability", 0.0)
-            downtime = asset.get("total_downtime", 0.0)
+        
+        contribution_factor = asset.get("contribution_factor", 0.0)
+        birbaum = asset.get("contribution", 0.0)
+        current_availability = asset.get("availability", 0.0)
+        downtime = asset.get("total_downtime", 0.0)
+            
 
         # Filter 1: Importance too low
         if contribution_factor < MIN_BIRNBAUM_IMPORTANCE:
@@ -127,8 +124,8 @@ def calculate_asset_eaf_contributions(plant_result, eq_results, standard_scope,
         
 
         # Filter 2: Improvement too small
-        # if required_impr < min_improvement_fraction:
-        #     continue
+        if improvement_impact < MIN_IMPROVEMENT_PERCENT:
+            continue
 
         # Contribution efficiency (secondary metric)
         efficiency = birbaum / downtime if downtime > 0 else birbaum