High Multiplicity in Earliness-Tardiness Scheduling

References

  • Alon N., Spencer J. H.The Probabilistic Method (1992) (John Wiley and Sons, New York) Google Scholar
  • Bagchi U., Chang Y.-L., Sullivan R. S. Minimizing absolute and squared deviations of completion times with different earliness and tardiness penalties and a common due date. Naval Res. Logist. (1987) 34:739–751CrossrefGoogle Scholar
  • Baker K. R., Scudder G. D. Sequencing with earliness and tardiness penalties: A review. Oper. Res. (1990) 38:22–36LinkGoogle Scholar
  • Clifford J. J. Machine scheduling with high multiplicity. (1997) . Dissertation, Department of Industrial and Systems Engineering, The Ohio State University, Columbus, OHGoogle Scholar
  • Clifford J. J., Posner M. E. Parallel machine scheduling with high multiplicity. Math. Programming. (1995) . ForthcomingGoogle Scholar
  • Federgruen A., Mosheiov G. Heuristics for multimachine scheduling problems with earliness and tardiness costs. Management Sci. (1996) 42:1544–1555LinkGoogle Scholar
  • Graham R. L., Lawler E. L., Lenstra J. K., Rinnooy Kan A. H. G. Optimization and approximation in deterministic sequencing and scheduling: a survery. Ann. Discrete Math. (1979) 5:287–326CrossrefGoogle Scholar
  • Granot F., Skorin-Kapov J. On polynomial solvability of the high multiplicity total weighted tardiness problem. Discrete Appl. Math. (1993) 41:139–146CrossrefGoogle Scholar
  • Hall N. G., Posner M. E. Earliness-tardiness scheduling problems, I: weighted deviation of completion times about a common due date. Oper. Res. (1991) 39:836–846LinkGoogle Scholar
  • Hochbaum D. S., Shamir R. Minimizing the number of tardy job units under release time constraints. Discrete Appl. Math. (1990) 28:45–57CrossrefGoogle Scholar
  • Hochbaum D. S., Shamir R. Strongly polynomial algorithms for the high multiplicity scheduling problem. Oper. Res. (1991) 39:648–653LinkGoogle Scholar
  • Hochbaum D. S., Shamir R., Shanthikumar J. G. A polynomial algorithm for an integer quadratic nonseparable transportation problem. Math. Programming (1992) 55:359–376CrossrefGoogle Scholar
  • Hochbaum D. S., Shanthikumar J. G. Convex separable optimization is not much harder than linear optimization. J. Assoc. Comput. Mach. (1990) 37:843–862CrossrefGoogle Scholar
  • Kanet J. J. Minimizing the average deviation of job completion times about a common due date. Naval Res. Logist. Quart. (1981) 28:643–651CrossrefGoogle Scholar
INFORMS site uses cookies to store information on your computer. Some are essential to make our site work; Others help us improve the user experience. By using this site, you consent to the placement of these cookies. Please read our Privacy Statement to learn more.