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An approximate model for kanban controlled assembly systems
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Date
2005
Author
Topan, Engin
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In this thesis, an approximation is proposed to evaluate the steady-state performance of kanban controlled assembly systems. The approximation is developed for the systems with two components making up an assembly. Then, it is extended to systems with more than two components. A continuous-time Markov model is aggregated keeping the model exact, and this aggregate model is approximated replacing some state-dependent transition rates with constant rates. Decomposition of the approximate aggregate model into submodels guarantees product-form steady-state distribution for each subsystem. Finally, submodels are combined in such a way that the size of the problem becomes independent of the number of kanbans. This brings about the computational advantage in solving the combined model using numerical matrix-geometric solution algorithms. Based on the numerical comparisons with simulation, the exact model, an approximate aggregate model and another approximation in a previous study in the literature, the approximation is observed to be good in terms of accuracy with respect to computational burden and has the potential to be a building block for the analysis of systems that are more complex but closer to real-life applications.
Subject Keywords
Operations research.
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http://etd.lib.metu.edu.tr/upload/3/12606438/index.pdf
https://hdl.handle.net/11511/15480
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Graduate School of Natural and Applied Sciences, Thesis
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E. Topan, “An approximate model for kanban controlled assembly systems,” M.S. - Master of Science, Middle East Technical University, 2005.
