• DocumentCode
    515311
  • Title

    A column generation method for quay crane scheduling problem

  • Author

    Zheng, Kewei ; Lu, Zhiqiang ; Sun, Xiaoming

  • Author_Institution
    Dept. of Ind. Eng. & Manage., Shanghai Jiao Tong Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    9-10 Jan. 2010
  • Firstpage
    81
  • Lastpage
    85
  • Abstract
    Quay Crane Scheduling Problem (QCSP) is very important for operation scheduling on a container terminal. This problem can be seen as a parallel machines job-shop scheduling problem with dynamic setup time. The objective is to minimize the turnaround time of the container vessel. This paper used a column generation method to attack the problem. Since the objective function of minimizing the makespan is not a linear function, linear transformation is introduced. Randomly generated route set is used as the initial columns. With the help of label setting algorithm good quality elementary shortest path is obtained as new column. Branch and pricing method is used to close the integer gap and get final solution. Numerical experiments demonstrated that this method has a satisfying performance.
  • Keywords
    containers; cranes; job shop scheduling; parallel machines; random processes; rough set theory; tree searching; QCSP; branch method; column generation method; container terminal; container vessel; elementary shortest path; label setting algorithm; linear transformation; makespan minimization; objective function; operation scheduling; parallel machines job-shop scheduling problem; pricing method; quay crane scheduling problem; randomly generated route set; turnaround time; Containers; Cranes; Job shop scheduling; Parallel machines; Pricing; Processor scheduling; Routing; Scheduling algorithm; Shortest path problem; Transportation; Branch and Pricing; Column Generation; Elementary Resource Constrained Shortest Path Problem; Parallel Machine; Quay Crane Scheduling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Logistics Systems and Intelligent Management, 2010 International Conference on
  • Conference_Location
    Harbin
  • Print_ISBN
    978-1-4244-7331-1
  • Type

    conf

  • DOI
    10.1109/ICLSIM.2010.5461465
  • Filename
    5461465