demand planning to keep the results for utilization graph

dream/plugins/PostProcessDemandPlanning.py

@@ -14,4 +14,8 @@ class PostProcessDemandPlanning(plugin.OutputPreparationPlugin):
       'mime_type': 'application/vnd.ms-excel',
       'data': G.reportResults.xlsx.encode('base64')
     }
+    import json
+    utilisationString=json.dumps(G.Utilisation, indent=5)
+    outputJSONFile=open('Utilisation.json', mode='w')
+    outputJSONFile.write(utilisationString)
     return data

dream/simulation/applications/DemandPlanning/Globals.py

@@ -47,6 +47,7 @@ class G:
     Lateness = {}
     Excess = {}
     weightFactor = [10.0,1.0,0,2]
+    Utilisation={}
     
     # ACO parameters
     ACO = 1

dream/simulation/applications/DemandPlanning/outputResults.py

@@ -40,7 +40,17 @@ def outputResults():
         G.CapacityResults.append([bottleneck, 'Capa Pegging Resource Capacity (UoM)',]+initialCap)
         G.CapacityResults.append(['', 'Capa Pegging Resource Total Load (UoM)',]+[G.Capacity[bottleneck][week]['OriginalCapacity']-G.CurrentCapacityDict[bottleneck][week] for week in G.WeekList])
         G.CapacityResults.append(['', 'Capa Pegging Resource Total Util (Percent)',]+[float(G.Capacity[bottleneck][week]['OriginalCapacity']-G.CurrentCapacityDict[bottleneck][week])/G.Capacity[bottleneck][week]['OriginalCapacity']*100 for week in G.WeekList])       
-
+        
+    # utilisation results
+    for bottleneck in G.Bottlenecks:
+        G.Utilisation[bottleneck] = {}
+        for week in G.WeekList:
+            G.Utilisation[bottleneck][week] = {}
+            G.Utilisation[bottleneck][week]['averageUtilization'] = float(G.Capacity[bottleneck][week]['OriginalCapacity']-G.CurrentCapacityDict[bottleneck][week])/G.Capacity[bottleneck][week]['OriginalCapacity']
+            G.Utilisation[bottleneck][week]['minUtilization'] = G.Capacity[bottleneck][week]['minUtilisation']
+            G.Utilisation[bottleneck][week]['maxUtilization'] = G.Capacity[bottleneck][week]['targetUtilisation']
+            
+        
     # report allocation results
     head = ['PPOS', 'Demand_Items_Product_DCBNO - SP', 'Demand_Items_Product_DCBNO - MA', 'Demand_Type - Group', 'Priority','Values'] + G.WeekList
     G.allocationResults.headers = head