• DocumentCode
    71093
  • Title

    Solving assembly scheduling problems with tree-structure precedence constraints: A Lagrangian relaxation approach

  • Author

    Jingyang Xu ; Nagi, Rakesh

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Univ. at Buffalo (SUNY), Buffalo, NY, USA
  • Volume
    10
  • Issue
    3
  • fYear
    2013
  • fDate
    Jul-13
  • Firstpage
    757
  • Lastpage
    771
  • Abstract
    In this paper, we consider an assembly scheduling problem (ASP) with tree-structured precedence constraints. In our problem, there are a number of work centers. Each work center contains a number of machines of the same functionality. The job to be processed via this system is a job with tree-structure precedence constraints. Each operation in the job has a designated work center. We propose a mixed integer linear programming formulation and solve the problem with a Lagrangian relaxation (LR) approach. We solve the subproblems of the LR problem via a heuristic method and generate feasible solutions via a randomized list scheduling algorithm. Near-optimal results are obtained and the computational time is within a few seconds for problems with size up to 20 machines and 300 operations.
  • Keywords
    assembling; bills of materials; integer programming; job shop scheduling; linear programming; trees (mathematics); ASP; LR approach; Lagrangian relaxation approach; assembly scheduling problem; bill-of-material; heuristic method; job shop scheduling problem; mixed integer linear programming formulation; randomized list scheduling algorithm; shared manufacturing facility; tree-structure precedence constraint; work center; Assembly scheduling; Lagrangian relaxation (LR); makespan; parallel machine scheduling; randomized algorithm; subgradient search;
  • fLanguage
    English
  • Journal_Title
    Automation Science and Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1545-5955
  • Type

    jour

  • DOI
    10.1109/TASE.2013.2259816
  • Filename
    6517989