65 lines
1.6 KiB
Python
65 lines
1.6 KiB
Python
import pandas as pd
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import numpy as np
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import pyomo.environ as pe
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import pyomo.gdp as pyogdp
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from pyomo.core.base.set_types import Any
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# check with Taha if code is too similar to Alstom?
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class TheatreScheduler:
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def __init__(self):
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pass
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def _generate_cases(self):
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pass
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def create_model(self):
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model = pe.ConcreteModel()
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# Model Data
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model.CASES = pe.Set() # indexed by (caseID, sessionID)
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model.CASE_DURATIONS = pe.Param() # median case times
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model.SESSION_DURATIONS = pe.param() # session durations
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model.M = pe.Param() # big M
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max_util = 0.85
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# Decision Variables
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model.SESSION_ASSIGNED = pe.Var()
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model.CASE_START_TIME = pe.Var()
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model.UTILISATION = pe.Var()
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# Objective
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def objective_function(model):
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pass
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model.OBJECTIVE = pe.Objective()
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# Constraints
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# Case start time must be after start time of assigned theatre session
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def case_start_time():
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pass
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model.CASE_START = pe.Constraint()
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# Case end time must be before end time of assigned theatre session
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def case_end_time():
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pass
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model.CASE_END_TIME = pe.Constraint()
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# Cases can be assigned to a maximum of one session
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def session_assignment():
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pass
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model.SESSION_ASSIGNMENT = pe.Constraint()
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def disjunctions():
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pass
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model.DISJUNCTIONS = pyogdp.Disjunction()
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def theatre_util():
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pass
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model.THEATRE_UTIL = pe.Constraint()
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return model
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def solve(self):
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pass
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