• DocumentCode
    1079875
  • Title

    Optimal robot selection and workstation assignment for a CIM system

  • Author

    Cook, Jack S. ; Han, Bernard T.

  • Author_Institution
    Jones Sch. of Bus., State Univ. of New York, Genesco, NY, USA
  • Volume
    10
  • Issue
    2
  • fYear
    1994
  • fDate
    4/1/1994 12:00:00 AM
  • Firstpage
    210
  • Lastpage
    219
  • Abstract
    In this paper, a mathematical program and solution algorithm is developed for optimal robot selection and workstation assignment for a CIM system. In specific, our model considers selection of a proper mix of multiple-type robots such that operational requirements from a given number of work- stations are satisfied at minimal system cost. Each robot is characterized by its fixed charge, and subject to limits on machine time and work envelope. Each workstation has known demands on both robot machine time and work space. The model is formulated as a pure 0-1 mathematical program and is shown harder than two-dimensional bin packing, a well-known NP-hard problem. A three-phase optimization algorithm is implemented and tested by solving 450 randomly generated problems. Computational results indicate the solution algorithm is effective in solving problems of a practical size (i.e., 50 workstations and a maximum of 20 robots) within acceptable computational times
  • Keywords
    computational complexity; computer integrated manufacturing; industrial robots; mathematical programming; production control; 0-1 mathematical program; CIM; NP-hard problem; machine time; operational requirements; production control; robot selection; three phase optimization; work envelope; workstation assignment; Computer integrated manufacturing; Costs; Lifting equipment; Mathematical model; NP-hard problem; Orbital robotics; Robots; Space stations; Space technology; Workstations;
  • fLanguage
    English
  • Journal_Title
    Robotics and Automation, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1042-296X
  • Type

    jour

  • DOI
    10.1109/70.282545
  • Filename
    282545