This paper examines the impact of "local rules" on the stability and performance of a manufacturing system. The ability of systems to maintain themselves in, and move between, stable, complex and chaotic states has been widely documented. (Gleick, 1986, Waldrop, 1992). The Beer Game is an example of a social-technical system that quickly moves to and maintains itself in a chaotic state as a result of the "local rules" used by the actors. (Thomsen, Mosekilde, and Sterman 1992, Paich and Sterman, 1993). Other research indicates that such "local rules" can produce "edge of chaos" states where systems are responsive and adaptive (Langton, Taylor, Farmer, Rassmussen, 1992).

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Date created

• 1996

Type

• Document

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• Processing documentation available at: https://wiki.albany.edu/display/SCA/Processing+Ingested+Digital+Files

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• Creative Commons BY-NC-ND Attribution-NonCommercial-NoDerivs 4.0 International

  
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227da936724c4223c5a64764d3922694

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ca4810593b2703dcaa087957ab13af91

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23d738ba88f8333bc39725f9cb5bd0b8

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Collection

System Dynamic Society Records

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• This collection is part of the University Archives