• DocumentCode
    538244
  • Title

    Customer order scheduling in parallel batching processors with splitting-merging procedure

  • Author

    Huang, G.Q. ; Zhang, M.T.

  • Author_Institution
    Dept. of Ind. & Manuf. Syst. Eng., Univ. of Hong Kong, Hong Kong, China
  • fYear
    2010
  • fDate
    6-9 Oct. 2010
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    We considered the problem of customer orders scheduling in a set of parallel batching processors with the objective of minimizing total weighted tardiness. We provided three simple intuitive heuristics to batch the customer orders. The simulation results revealed that the split-merge heuristic can minimize the total weighted tardiness, especially in the case of high customer demand variation and tight due date.
  • Keywords
    batch processing (industrial); customer services; minimisation; order processing; scheduling; customer demand variation; customer order scheduling; intuitive heuristics; parallel batching processor; split-merge heuristic; splitting-merging procedure; tight due date; total weighted tardiness; Companies; Job shop scheduling; Merging; Optimal scheduling; Processor scheduling; Program processors; customer order scheduling; demand variation; heuristics; parallel batching processor; sensitivity analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Supply Chain Management and Information Systems (SCMIS), 2010 8th International Conference on
  • Conference_Location
    Hong Kong
  • Print_ISBN
    978-962-367-696-0
  • Type

    conf

  • Filename
    5681725