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JOB SETS USED IN TESTS
CONCLUSIONS AND PRACTICAL IMPLICATIONS
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9 Pure Job active schedules algorithm Appendix best schedule better schedule Chapter CM CM CM conditional distribution conflict set curve De1ay(IPT deterministic dispatching rule deterministic procedure dynamic problem experimental exponentially distributed FCFS rule Fischer and Thompson Fischer-Thompson Gantt Charts Giffler and Thompson Giffler-Thompson procedure Heller's heuristic idle Integer linear programming integer programming IPT(C Job Set 102 Job Set 24 job shop left shift Logemann lower bound minimal schedule minimum modified n-by-m static sequencing newly assign non-delay schedules number of operations Operations Research optimal schedule optimum over-all percent preserve order probabilistic dispatching procedures probability functions produce schedules queue RANDOM rule reductions routing SAMPLE PROBLEM Sample Size Value sampling procedure schedulable operations schedule produced schedule values scheduling problem semi-active schedules set of schedules SHOPN and MWKR simple random sample solution static problem static sequencing problem tested thesis TPTR TPTR(C TQWT traveling salesman problems UB3W Value Sample writer zero