diff --git a/app/forms/pe/pe_sem_recap.py b/app/forms/pe/pe_sem_recap.py
index 4ac04e558..de2dbfd50 100644
--- a/app/forms/pe/pe_sem_recap.py
+++ b/app/forms/pe/pe_sem_recap.py
@@ -56,6 +56,10 @@ class ParametrageClasseurPE(FlaskForm):
     # synthese_individuelle_etud = BooleanField(
     #    "Générer (suppose les RCUES)"
     # )
-
+    publipostage = BooleanField(
+        "Nomme les moyennes pour publipostage",
+        # default=False,
+        # render_kw={"checked": ""},
+    )
     submit = SubmitField("Générer les classeurs poursuites d'études")
     cancel = SubmitField("Annuler", render_kw={"formnovalidate": True})
diff --git a/app/pe/pe_jury.py b/app/pe/pe_jury.py
index 5673d2542..3881615b3 100644
--- a/app/pe/pe_jury.py
+++ b/app/pe/pe_jury.py
@@ -560,7 +560,11 @@ class JuryPE(object):
             for onglet, df in self.synthese.items():
                 # Conversion colonnes en multiindex
                 df_final = df.copy()
-                df_final = convert_colonnes_to_multiindex(df_final)
+                if (
+                    "publipostage" not in self.options
+                    or not self.options["publipostage"]
+                ):
+                    df_final = convert_colonnes_to_multiindex(df_final)
                 # Nom de l'onglet
                 if isinstance(onglet, tuple):
                     (repr, type_moy) = onglet
@@ -824,6 +828,7 @@ def get_formsemestres_etudiants(etudiants: pe_etudiant.EtudiantsJuryPE) -> dict:
 def convert_colonnes_to_multiindex(df):
     """Convertit les colonnes d'un df pour obtenir des colonnes
     multiindex"""
+    df_final = df.copy()
     colonnes = list(df.columns)
     colonnes = [tuple(col.split("|")) for col in colonnes]
     # modifie le nom du semestre par sa descr
@@ -838,5 +843,5 @@ def convert_colonnes_to_multiindex(df):
             col_verbose = col
         colonnes_verbose.append(col_verbose)
 
-    df.columns = pd.MultiIndex.from_tuples(colonnes_verbose)
-    return df
+    df_final.columns = pd.MultiIndex.from_tuples(colonnes_verbose)
+    return df_final