The application of this thesis compares three different manufacturing theories, varying on resource allocation, to decide which performs best. Three Resource Allocation methods are analyzed including a static resource allocation method, a semidynamic resource allocation method, and a dynamic resource allocation method. The last methodology used in this thesis develops a resource allocation method intended to display complex behavior. A Base Case manufacturing simulation is developed to represent a static resource allocation system. A Theory of Constraints manufacturing model using the Theory of Constraints process represents a semi-dynamic resource allocation system. A Complex Adaptive System manufacturing model using autonomous agents represents a dynamic resource allocation system. The systems were analyzed at multiple stress levels for system to system performance, as well as for complex behavior. Dynamic resource allocation outperformed the semi-dynamic allocation and static allocation systems unilaterally. Some complex behavior was displayed for elements of some models, but as a whole, a trend of increasing complexity did not emerge as the models were analyzed from the Base Case, to Theory of Constraints, to the Complex Adaptive System.
Library of Congress Subject Headings
Manufacturing processes--Simulation methods; Resource allocation--Mathematical models; Production planning--Mathematical models; Production management
Department, Program, or Center
Industrial and Systems Engineering (KGCOE)
Gill, Kaine, "Self-organized critical & complex adaptive systems in a simulated manufacturing environment" (2001). Thesis. Rochester Institute of Technology. Accessed from
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