• DocumentCode
    1544877
  • Title

    Measuring manufacturing work group autonomy

  • Author

    Bailey, Diane E. ; Adiga, Sadashiv

  • Author_Institution
    Dept. of Ind. & Syst. Eng., Univ. of Southern California, Los Angeles, CA, USA
  • Volume
    44
  • Issue
    2
  • fYear
    1997
  • fDate
    5/1/1997 12:00:00 AM
  • Firstpage
    158
  • Lastpage
    174
  • Abstract
    The increasing use of autonomous work groups in manufacturing industries has been accompanied by a growing confusion over exactly what group autonomy connotes. Our intent in this paper is to provide clarity to the quantitative measurement of work group autonomy. An examination of classic case studies from the group literature reveals how group autonomy has been conceptualized over time, while highlighting the absence of more modern-day concerns in areas such as equipment maintenance and quality improvement. In attempting to objectively assess the degree of autonomy held by work groups both in the classic studies and in a modern high-technology industry, we find that the existing measurement instrument fails at the latter. A new more finely grained measuring instrument is introduced that covers decisions in the areas of methods, scheduling, task allocation, resource allocation and management, goals, and boundary management. Items on the instrument address topics in performance evaluation, training, equipment maintenance, group membership, and production, among others
  • Keywords
    maintenance engineering; management; manufacturing industries; production; production control; quality control; resource allocation; boundary management; equipment maintenance; goals; group membership; high-technology industry; manufacturing industries; performance evaluation; production; quality improvement; resource allocation; resource management; scheduling; task allocation; training; work group autonomy; Area measurement; Industrial training; Instruments; Job shop scheduling; Management training; Manufacturing industries; Manufacturing processes; Production; Quality control; Resource management;
  • fLanguage
    English
  • Journal_Title
    Engineering Management, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9391
  • Type

    jour

  • DOI
    10.1109/17.584924
  • Filename
    584924