and I found that only 6 out of 26 constraint were being unsatisfied and added. It turns out that this stills needs further constraints and the loop never stops or you know I see the same constraints getting added and added, again and again. 

Only 6 of 26 are being added because of unsat

               unsats = self.get_cpx_unsatisfied_cts([ct], sol, tolerance=1e-6)
                for ct, cpx_lhs, sense, cpx_rhs in unsats:
                    print('Add violated subtour')
                    self.add(cpx_lhs, sense, cpx_rhs)

So I am unable to come up with the internal ways in which data is represented which is given by  self.get_cpx_unsatisfied_cts([ct], sol, tolerance=1e-6)

So..stuck in dilemna, I added all my cuts as self.add_constraint(ct)

Now the below is happening

*     0+    0                         2017.0000      171.8000            91.48%
      0     0      214.7501     7     2017.0000       Cuts: 5      315   89.35%
      0     0      264.3077     9     2017.0000       Cuts: 9      337   86.90%
      0     0      351.3789     9     2017.0000      Cuts: 19      356   82.58%
      0     0      628.3137     8     2017.0000      Cuts: 14      364   68.85%
      0     2      628.3137     8     2017.0000      664.7353      364   67.04%                        0             0
Elapsed time = 1.53 sec. (287.14 ticks, tree = 0.01 MB, solutions = 1)
     56    37        cutoff           2017.0000     1119.5000      628   44.50%           x_6_4 D     56     55     13
    120    68     1380.0000     1     2017.0000     1380.0000      921   31.58%        xe_8_9_4 U    120    103      7
    189    92     1380.0000     3     2017.0000     1380.0000     1306   31.58%      xe_17_18_4 U    189    188     10
    267    88        cutoff           2017.0000     1380.0000     1662   31.58%           x_4_4 U    267    129     10
    353   126     1380.0000     2     2017.0000     1380.0000     2088   31.58%           x_4_4 D    353    352     11
    458   141     1380.0000     3     2017.0000     1380.0000     2583   31.58%      xe_17_19_4 D    458    443     11
    535   125     1511.2157     3     2017.0000     1380.0000     2884   31.58%           x_6_4 D    535    533     10
    622   152        cutoff           2017.0000     1380.0000     3242   31.58%           x_6_4 U    622    621      9
    690   157     1503.6667     3     2017.0000     1380.0000     3486   31.58%           x_6_4 D    690    688     11
    992   208     1445.8930     4     2017.0000     1380.0000     4625   31.58%      xe_17_18_4 U    992    819      9
Elapsed time = 4.41 sec. (3403.92 ticks, tree = 3.37 MB, solutions = 1)
   1288   255        cutoff           2017.0000     1380.0000     5733   31.58%           x_6_4 U   1288   1287     13
   1600   302     1380.0000     2     2017.0000     1380.0000     6864   31.58%      xe_11_13_4 U   1600   1586      7
   1938   337        cutoff           2017.0000     1380.0001     8020   31.58%           x_6_4 D   1938   1936     11

Implied bound cuts applied:  20
Mixed integer rounding cuts applied:  7
Gomory fractional cuts applied:  8

Root node processing (before b&c):
  Real time             =    1.53 sec. (287.33 ticks)
Sequential b&c:
  Real time             =    6.23 sec. (6900.99 ticks)
                          ------------
Total (root+branch&cut) =    7.77 sec. (7188.32 ticks)
Traceback (most recent call last):
  File "C:\Users\shari\OneDrive\Desktop\RamRam-TrainDISPLIB\Code\ProperCode\BranchAndCut\BandC_controller.py", line 244, in <module>
    process_all_instances()
  File "C:\Users\shari\OneDrive\Desktop\RamRam-TrainDISPLIB\Code\ProperCode\BranchAndCut\BandC_controller.py", line 236, in process_all_instances
    train_partitioner(f"Data\\{instance_name}")
  File "C:\Users\shari\OneDrive\Desktop\RamRam-TrainDISPLIB\Code\ProperCode\BranchAndCut\BandC_controller.py", line 205, in train_partitioner
    mdl_class,mdl = model_solve_bandc(job_dict_cloned, ob_list, filename, idtor_dict, rtoid_dict, min_duration_dict, release_times_dict, save_sol)
  File "C:\Users\shari\OneDrive\Desktop\RamRam-TrainDISPLIB\Code\ProperCode\BranchAndCut\helper_full.py", line 404, in model_solve_bandc
    print("Model solved with status:", mdl.solve_details.status, "and objective value:", mdl.objective_value)
  File "C:\Users\shari\anaconda3\envs\cplexenv\lib\site-packages\docplex\mp\model.py", line 5443, in objective_value
    self._check_has_solution()
  File "C:\Users\shari\anaconda3\envs\cplexenv\lib\site-packages\docplex\mp\model.py", line 5261, in _check_has_solution
    self.fatal("Model<{0}> did not solve successfully", self.name)
  File "C:\Users\shari\anaconda3\envs\cplexenv\lib\site-packages\docplex\mp\model.py", line 1093, in fatal
    self._error_handler.fatal(msg, args)
  File "C:\Users\shari\anaconda3\envs\cplexenv\lib\site-packages\docplex\mp\error_handler.py", line 210, in fatal
    raise DOcplexException(resolved_message)
docplex.mp.utils.DOcplexException: Model<SINTEF-DISPLIB-Challenge> did not solve successfully

Now I am not sure what is the error..please let me know asap!

Thanks

Hariharan