NDLI: Calculating Efficient Team Size: Balancing Deciding and Doing as an Elementary Optimization Problem

Content Provider	The American Society of Mechanical Engineers (ASME) Digital Collection
Author	David, E. Goldberg Yassine, Ali Yu, Tian-Li
Copyright Year	2004
Abstract	This paper builds elementary models of efficient team size by balancing costs of deciding and doing that often exists in team settings. A simple model assuming linear decision time and inversely linear execution time is first constructed and optimized. That model is augmented by a concern for solution quality using simple probability calculations. Thereafter, the basic model is generalized somewhat by permitting decision making and doing to be governed by power-law terms. Then, the idea of using simple, one-dimensional optimization as a modeling tool in organizational contexts and elsewhere is formalized as an elementary optimization problem (EOP), and the characteristics of EOPs and some exemplar problems are enumerated. The paper concludes by suggesting how the systematic study of EOPs, other simple models, and patchquilt integration using dimensional analysis may permit the formulation of a more sophisticated quantitative understanding of problems in organizational theory than would otherwise be possible.
Sponsorship	Design Engineering Division and Computers and Information in Engineering Division
Starting Page	271
Ending Page	279
Page Count	9
File Format	PDF
ISBN	0791846962
DOI	10.1115/DETC2004-57402
e-ISBN	0791837424
Volume Number	Volume 3a: 16th International Conference on Design Theory and Methodology
Conference Proceedings	ASME 2004 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference
Language	English
Publisher Date	2004-09-28
Publisher Place	Salt Lake City, Utah, USA
Access Restriction	Subscribed
Subject Keyword	Integration Teamwork Team size Patchquilt Optimization Teams
Content Type	Text
Resource Type	Article

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