• DocumentCode
    1491464
  • Title

    Flowshop scheduling/sequencing research: a statistical review of the literature, 1952-1994

  • Author

    Reisman, Arnold ; Kumar, Ashok ; Motwani, Jaideep

  • Author_Institution
    Reisman & Associates, Shaker Heights, OH, USA
  • Volume
    44
  • Issue
    3
  • fYear
    1997
  • fDate
    8/1/1997 12:00:00 AM
  • Firstpage
    316
  • Lastpage
    329
  • Abstract
    The entire life-cycle literature of flowshop scheduling/sequencing (FSS), 170 articles starting in 1952, was reviewed and classified on a scale ranging from pure theory to bona fide application. Second, the articles were classified in terms of seven types of research processes used by authors. Next, statistical correlations were performed relating data from the above two classifications. The findings show that the literature is dominated by what Ormerod and Kiossis call untested theory. This subset contains 155 out of 170 or 91% of the articles, with another 5.9% classified as metaresearch but mostly concerned with algorithm performance. A subset defined more comprehensively as pure theory, using synthetic “data” and modeling the m-machine n-jobs problem in a flowshop having a static sequencing policy with deterministic process parameters and using the ripple process (minor extensions of a previously well-explored problem) as a basic research strategy, contains 62 papers or 36.47% of the literature. During the first decade of the flowshop research (1952-1961), this category accounted for but one out of eight or 12.5% of the papers published, whereas during the most recent decade, it accounted for 23 papers or 33% of the literature. Last, questions are raised about the future of flowshop scheduling research vis-a-vis related subject matter, such as just-in-time inventory management, job shop scheduling, etc
  • Keywords
    management science; operations research; production control; scheduling; statistical analysis; algorithm performance; deterministic process parameters; flowshop scheduling/sequencing; job shop scheduling; just-in-time inventory management; m-machine n-jobs problem modeling; management science; metaresearch; operations research; research processes; ripple process; static sequencing policy; statistical correlations; synthetic data; untested theory; Course correction; Frequency selective surfaces; Helium; History; Inventory management; Job shop scheduling; Operations research; Processor scheduling; Taxonomy;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/17.618173
  • Filename
    618173