commit

Generate_Data.py

@@ -84,7 +84,7 @@ def generate_intelligent_sourcing_excel(
     with pd.ExcelWriter(output_filename, engine='xlsxwriter') as writer:
         weightage_df.to_excel(writer, sheet_name='Weightage', index=False)
         priority_df.to_excel(writer, sheet_name='Priority Data', index=False)
-        warehouse_df.to_excel(writer, sheet_name='Stock Data', index=False)
+        warehouse_df.to_excel(writer, sheet_name='Warehouse Data', index=False)
         order_df.to_excel(writer, sheet_name='Order Data', index=False)
         cost_df.to_excel(writer, sheet_name='Cost Data', index=False)
         distance_df.to_excel(writer, sheet_name='Distance Data', index=False)
@@ -102,7 +102,7 @@ def plot_histograms(excel_filename):
     
     data_sheets = {
         "Priority": pd.read_excel(xls, "Priority Data")["Priority"],
-        "Product Stock": pd.read_excel(xls, "Stock Data").iloc[:, 1:].values.flatten(),
+        "Product Stock": pd.read_excel(xls, "Warehouse Data").iloc[:, 1:].values.flatten(),
         "Order Quantity": pd.read_excel(xls, "Order Data").iloc[:, 1:].values.flatten(),
         "Cost": pd.read_excel(xls, "Cost Data")["Cost"],
         "Distance": pd.read_excel(xls, "Distance Data")["Distance"],
@@ -128,9 +128,9 @@ def plot_histograms(excel_filename):
 if __name__ == "__main__":
     # Define parameters for execution
     output_filename = "Intelligent_Sourcing.xlsx"
-    num_of_warehouses = 10
-    num_of_products = 100
-    num_of_orders = 200
+    num_of_warehouses = 4
+    num_of_products = 10
+    num_of_orders = 2
     weightage_Cost = 1
     weightage_Priority = 0.8
     weightage_distance = 0.6

Read_Data.py

@@ -0,0 +1,21 @@
+from pulp import *
+import pandas as pd
+import numpy as np
+import xlsxwriter
+
+filepath = 'Intelligent_Sourcing.xlsx'
+
+#print(excel_file.sheet_names)
+sheets = ['Weightage', 'Priority Data', 'Warehouse Data', 'Order Data', 'Cost Data', 'Distance Data', 'Days Data']
+
+weightage_df = pd.read_excel(filepath, sheet_name='Weightage')
+weightage_dict = dict(zip(weightage_df['Variable'], weightage_df['Weightage']))
+Weightage_Cost = weightage_dict["Cost"]
+Weightage_Priority = weightage_dict["Priority"]
+Weightage_distance = weightage_dict["Distance"]
+Weightage_days = weightage_dict["Days"]
+
+priority_df = pd.read_excel(filepath, sheet_name='Priority Data')
+warehouse_df = pd.read_excel(filepath, sheet_name='Warehouse Data')
+
+print(warehouse_df)