diff --git a/pyproject.toml b/pyproject.toml
index fc046dce..57bc748d 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -41,7 +41,7 @@ dependencies = [
     "matplotlib>=3.1",
     "seaborn>=0.10.1",
     "pymzn>=0.18.3",
-    "ortools>=8.0",
+    "ortools>=9.5,<9.6",
     "tqdm>=4.62.3",
     "sortedcontainers>=2.4",
     "deprecation",
diff --git a/tests/pickup_vrp/builders/test_instance_builders.py b/tests/pickup_vrp/builders/test_instance_builders.py
index 53d91830..617bde6d 100644
--- a/tests/pickup_vrp/builders/test_instance_builders.py
+++ b/tests/pickup_vrp/builders/test_instance_builders.py
@@ -1,6 +1,7 @@
 #  Copyright (c) 2022 AIRBUS and its affiliates.
 #  This source code is licensed under the MIT license found in the
-#  LICENSE file in the root directory of this source tree.
+#  LICENSE file in the root directory of this source tree.$
+import logging
 
 from discrete_optimization.generic_tools.result_storage.result_storage import (
     ResultStorage,
@@ -75,6 +76,7 @@ def test_pickup_and_delivery():
 
 
 def test_pickup_and_delivery_equilibrate():
+    logging.basicConfig(level=logging.INFO)
     model = create_pickup_and_delivery(
         number_of_vehicles=4,
         number_of_node=75,
@@ -109,13 +111,12 @@ def test_pickup_and_delivery_equilibrate():
         },
         local_search_metaheuristic=local_search_metaheuristic_enum.GUIDED_LOCAL_SEARCH,
         first_solution_strategy=first_solution_strategy_enum.AUTOMATIC,
-        time_limit=20,
+        time_limit=1,
         n_solutions=10000,
     )
     results = solver.solve_intern()
     res_to_plot = min([r for r in results], key=lambda x: x[-1])
     check_solution(res_to_plot[0], model)
-    plot_ortools_solution(res_to_plot, model)
 
 
 def test_pickup_and_delivery_equilibrate_new_api():
@@ -201,8 +202,6 @@ def test_selective_tsp():
     results = solver.solve_intern()
     res_to_plot = min([r for r in results], key=lambda x: x[-1])
 
-    plot_ortools_solution(res_to_plot, gpdp)
-
 
 def test_selective_tsp_new_api():
     nb_nodes = 1000