Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Multi-objective optimization in single-row layout design using a genetic algorithm

    188421_68085_Multi-objective_PaperF.pdf (261.7Kb)
    Access Status
    Open access
    Authors
    Lenin, N.
    Siva Kumar, M.
    Islam, Mohammad Nazrul
    Date
    2012
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Lenin, N. and Siva Kumar, M. and Islam, M.N. and Ravindran, D. 2012. Multi-objective optimization in single-row layout design using a genetic algorithm. International Journal of Advanced Manufacturing Technology. 67 (5): pp. 1777-1790.
    Source Title
    International Journal of Advanced Manufacturing Technology
    ISSN
    0268-3768
    Remarks

    The final publication is available at http://www.springerlink.com

    URI
    http://hdl.handle.net/20.500.11937/2776
    Collection
    • Curtin Research Publications
    Abstract

    This paper presents the development of a genetic algorithm for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types available for a job. This work aims to minimize the total flow distance travelled by products, reduce the number of machines arranged in the final linear sequence, and decrease the total investment cost of the machines used in the final sequence. We assume that product flow runs only in the forward direction, either via in-sequence or bypass movement. We demonstrate the effectiveness of the proposed algorithm by solving a typical layout design problem taken from literature, and several randomly generated problems. Results indicate that the proposed algorithm serves as a practical decision support tool for resolving layout problems in manufacturing facilities.

    Related items

    Showing items related by title, author, creator and subject.

    • A tabu search for multi-objective single row facility layout problem
      Lenin, N.; Siva Kumar, M.; Ravindran, D.; Islam, Mohammad Nazrul (2014)
      This paper addresses the problem of multi objective facility layout planning. The aim is to solve the single row facility layout problems (SRFLP) and find the linear machine sequence which minimizes the following: the ...
    • Decision Making in Multi-objective Facility Layout Design Selection Problem
      Lenin, N.; Siva Kumar, M.; Ravindran, D.; Vignesh K.; Islam, Mohammad Nazrul (2013)
      This paper presents the development of heuristics for determining a common linear machine sequence for multi-products with different operation sequences and facilities with a limited number of duplicate machine types ...
    • A simple heuristic for linear sequencing of machines in layout design
      Kumar, M.; Islam, Mohammad Nazrul; Lenin, N.; Kumar, D.; Ravingran, D. (2010)
      This paper presents a simple heuristic to determine a common linear machine sequence for multiple products with different operation sequences and a limited number of duplicate machine types available for the job. The ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.