new object BatchScrapMachine, not tested yet

dream/simulation/BatchScrapMachine.py

+# ===========================================================================
+# Copyright 2013 University of Limerick
+#
+# This file is part of DREAM.
+#
+# DREAM is free software: you can redistribute it and/or modify
+# it under the terms of the GNU Lesser General Public License as published by
+# the Free Software Foundation, either version 3 of the License, or
+# (at your option) any later version.
+#
+# DREAM is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE.  See the
+# GNU Lesser General Public License for more details.
+#
+# You should have received a copy of the GNU Lesser General Public License
+# along with DREAM.  If not, see <http://www.gnu.org/licenses/>.
+# ===========================================================================
+'''
+Created on 8 Nov 2012
+
+@author: Ioannis
+'''
+'''
+Models a machine that processes a (Sub)Batch and can scrap a number of units in each one. Also, the processing time
+depends on the number of units of the (Sub)Batch
+'''
+
+from SimPy.Simulation import Process, Resource
+from SimPy.Simulation import activate, passivate, waituntil, now, hold
+from RandomNumberGenerator import RandomNumberGenerator
+
+from Machine import Machine
+# ================================================================
+#                  the BatchScrapMachine object
+# ================================================================
+class BatchScrapMachine(Machine):
+    
+    #initialize the id, the capacity of the resource and the distribution       
+    # have to find which distribution returns random integers - Discrete distribution 
+    def __init__(self, id, name, capacity=1, \
+                 distribution='Fixed', mean=1, stdev=0, min=0, max=10,\
+                 failureDistribution='No', MTTF=0, MTTR=0, availability=0, repairman='None',\
+                 scrapDistribution='Fixed',scrMean=1,scrStdev=0,scrMin=0,scrMax=10):
+        # initialize using the default method of the object 
+        Machine.__init__(self,id=id,name=name,\
+                                    capacity=capacity,\
+                                    distribution=distribution,\
+                                    mean=mean,stdev=stdev,min=min,max=max,\
+                                    failureDistribution=failureDistribution,MTTF=MTTF,MTTR=MTTR,\
+                                    availability=availability, repairman=repairman)
+             
+        self.scrapDistType=scrapDistribution    #the distribution that the failure follows   
+        # Sets the attributes of the scrap quantity distribution
+        self.scrapRng=RandomNumberGenerator(self, self.scrapDistType)
+        self.scrapRng.avg=mean
+        self.scrapRng.stdev=stdev
+        self.scrapRng.min=min
+        self.scrapRng.max=max
+        
+    
+    def removeEntity(self):
+        activeEntity = Machine.removeEntity(self)
+        scrapQuantity=self.scrapRng.generateNumber()        
+        activeEntity.numberOfUnits-=scrapQuantity
+        if activeEntity.numberOfUnits<0:
+            activeEntity.numberOfUnits==0
+        return activeEntity
+
+                                                                                
+    #calculates the processing time
+    def calculateProcessingTime(self):
+        activeEntity = self.getActiveObjectQueue()[0]
+        return self.rng.generateNumber()*activeEntity.numberOfUnits         # this is if we have a default processing time for all the entities
+
+                
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