• DocumentCode
    1625671
  • Title

    Improving the time resolution of schedules generated via Lagrangian relaxation algorithms

  • Author

    Owens, Thomas A. ; Luh, Peter B.

  • Author_Institution
    Dept. of Electr. & Syst. Eng., Connecticut Univ., Storrs, CT, USA
  • fYear
    1992
  • Firstpage
    1390
  • Abstract
    A method is presented which enables relaxation algorithms to efficiently consider fractional utilization of larger time blocks, and thus quickly resolve the schedule into increments that match the precision of the known processing times. Although demonstrated here to be effective on the complicated job shop scheduling problem, the method can easily be extended to other manufacturing environments
  • Keywords
    computational complexity; production control; scheduling; Lagrangian relaxation algorithms; complicated job shop scheduling problem; fractional utilization; manufacturing environments; processing times; schedule time resolution; Cost function; Job shop scheduling; Lagrangian functions; Machining; Manufacturing; Optimal scheduling; Processor scheduling; Research and development; Scheduling algorithm; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 1992., IEEE International Conference on
  • Conference_Location
    Chicago, IL
  • Print_ISBN
    0-7803-0720-8
  • Type

    conf

  • DOI
    10.1109/ICSMC.1992.271589
  • Filename
    271589