Stochastic Dynamics of Long Supply Chains with Random Breakdowns
We analyze the stochastic large time behavior of long supply chains via a traffic flow random particle model. As items travel on a virtual road from one production stage to the next, random breakdowns of the processors at each stage are modeled via a Markov process. The result is a conservation law...
| Veröffentlicht in: | SIAM Journal on Applied Mathematics. - Society for Industrial and Applied Mathematics, 1966. - 68(2007), 1, Seite 59-79 |
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| Format: | Online-Aufsatz |
| Sprache: | English |
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2007
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| Zugriff auf das übergeordnete Werk: | SIAM Journal on Applied Mathematics |
| Schlagworte: | supply chains traffic flow models mean field theories Boltzmann equation fluid limits Economics Applied sciences Physical sciences Philosophy Mathematics |
| Online verfügbar |
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