• DocumentCode
    2222837
  • Title

    A heuristic for parallel machine scheduling with machine preference for the electroetching of aluminium foil

  • Author

    Chao, C.W. ; Chuang, M.C. ; Liao, C.J.

  • Author_Institution
    Dept. of Ind. Manage., Nat. Taiwan Univ. of Sci. & Technol., Taipei, Taiwan
  • fYear
    2008
  • fDate
    8-11 Dec. 2008
  • Firstpage
    345
  • Lastpage
    348
  • Abstract
    This paper considers a scheduling problem in the manufacturing of anodic electroetching aluminum foil. To reduce cost and increase efficiency, the manufacturer of aluminum foil usually designs the equipment for electroetching of aluminum foil into specialized equipment that is dedicated to produce high voltage or medium voltage aluminum foil based on the range the aluminum foil can bear. Nevertheless, high voltage equipment can be used to produce medium voltage aluminum foil with longer processing time, and vice versa. The problem is to schedule jobs on the high and medium voltage equipment, each having several pieces in parallel, with setup times to minimize to the total completion time. In this paper, we propose a three-stage heuristic for this problem and computationally evaluate the performance of the heuristic relative to the solution obtained using a branch-and-bound algorithm.
  • Keywords
    aluminium manufacture; cost reduction; etching; foils; optimisation; parallel machines; scheduling; tree searching; anodic electroetching aluminum foil; branch-and-bound algorithm; cost reduction; heuristic; job scheduling; machine preference; parallel machine scheduling; Aluminum; Costs; Job shop scheduling; Low voltage; Medium voltage; Parallel machines; Processor scheduling; Production; Pulp manufacturing; Technology management; Hungarian method; Scheduling; parallel machines; preference of machines;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Engineering and Engineering Management, 2008. IEEM 2008. IEEE International Conference on
  • Conference_Location
    Singapore
  • Print_ISBN
    978-1-4244-2629-4
  • Electronic_ISBN
    978-1-4244-2630-0
  • Type

    conf

  • DOI
    10.1109/IEEM.2008.4737888
  • Filename
    4737888