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Modelling Teams and Workgroups in Manufacturing

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  • John Buzacott

Abstract

One of the major features of Japanese manufacturing techniques is the extensive use of teams, i.e., workers who as a group work together to produce sub-assemblies or finished products, or, alternatively, work together to accomplish a project. Many naive promoters of the team concept assume that the team members work together on the same tasks and activities and somehow accomplish them faster and better. However, observation of actual teams indicate that, unless a team member is new and quite inexperienced, teams split the required tasks or activities up so that each member has a unique task and most of the time members work independently. This paper develops models that try to describe the features of division of labour in teams and the way in which differences in capability between different team members impact performance. The models suggest that the advantage of teams probably lies primarily in the structure that enables faster/better workers to help out others. Copyright Kluwer Academic Publishers 2004

Suggested Citation

  • John Buzacott, 2004. "Modelling Teams and Workgroups in Manufacturing," Annals of Operations Research, Springer, vol. 126(1), pages 215-230, February.
    • Handle: RePEc:spr:annopr:v:126:y:2004:i:1:p:215-230:10.1023/b:anor.0000012282.98374.00
    DOI: 10.1023/B:ANOR.0000012282.98374.00
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    Cited by:

    1. Morvarid Rahmani & Guillaume Roels & Uday S. Karmarkar, 2018. "Team Leadership and Performance: Combining the Roles of Direction and Contribution," Management Science, INFORMS, vol. 64(11), pages 5234-5249, November.
    2. Guillaume Roels, 2014. "Optimal Design of Coproductive Services: Interaction and Work Allocation," Manufacturing & Service Operations Management, INFORMS, vol. 16(4), pages 578-594, October.
    3. Gregory Dobson & Edieal Pinker & R. Lawrence Van Horn, 2009. "Division of Labor in Medical Office Practices," Manufacturing & Service Operations Management, INFORMS, vol. 11(3), pages 525-537, May.

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