• DocumentCode
    1099316
  • Title

    Optimal Strategies for Multiclass Job Scheduling on a Single Machine With Controllable Processing Times

  • Author

    Aicardi, Michele ; Giglio, Davide ; Minciardi, Riccardo

  • Author_Institution
    Dept. of Commun., Comput., & Syst. Sci., Univ. of Genova, Genova
  • Volume
    53
  • Issue
    2
  • fYear
    2008
  • fDate
    3/1/2008 12:00:00 AM
  • Firstpage
    479
  • Lastpage
    495
  • Abstract
    A particular scheduling problem over a single machine is considered. Jobs belong to different classes, and two jobs belonging to the same class are considered as completely equivalent. A sequence of due dates is specified for each class of jobs, and the serviced jobs, for each class, are assigned to the due dates according to the EDD rule. The service time of any job of a given class has to be selected within an interval of possible values (the highest possible one being the nominal service time). A deviation of the actual service time from the nominal value determines a cost that has a linear dependence on such a deviation. The cost function to be minimized is the sum of the total (weighted) tardiness cost and the overall service time deviation cost. The decision variables are those concerning job sequencing (taking into account the equivalence of jobs of the same class) and service times. In this paper, a solution to this problem is provided in terms of closed-loop strategies.
  • Keywords
    manufacturing systems; optimal control; process control; single machine scheduling; controllable processing times; job sequencing; multiclass job scheduling; nominal service time; optimal strategies; overall service time deviation cost; single machine; total weighted tardiness cost; Cost function; Dynamic programming; Job production systems; Job shop scheduling; Manufacturing systems; Optimal control; Process control; Resource management; Scheduling algorithm; Single machine scheduling; Controllable processing times; dynamic programming; manufacturing systems; optimal control; scheduling algorithms;
  • fLanguage
    English
  • Journal_Title
    Automatic Control, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9286
  • Type

    jour

  • DOI
    10.1109/TAC.2007.915166
  • Filename
    4471832