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- W2169228575 abstract "Supply network design involves making decisions about the number and location of physicaldistribution facilities and the transportation network required to support them. Supply chain designmethodologies appearing in the academic literature can be broadly classified as: deterministic,stochastic or dynamic. Stochastic approaches employ probability density functions to model demandand inventory decisions. In practice this work is normally undertaken once the physical supply networkhas been decided. Dynamic supply chain design employs control theory to understand the effect of timedelays and feedback paths on system behaviour. However, as both stochastic and dynamic approachesare normally applied after the physical network has been decided, then the potential of these methodsis constrained. In this paper we will present a new method for integrating deterministic, stochastic anddynamic approaches to supply chain design, which we will illustrate by means of a simple example.Maister (1976) has shown that as a distribution network is consolidated the inventory required obeysthe square root law. This knowledge was recently supplemented by that fact that the capacity of thedistribution centres also obeys the same square root law. This conclusion was reached via controltheory analysis of a divergent supply chain (Ratanachote and Disney, 2008). Here we extend this approach to consider the effect of transportation lead-times and costs on the distribution networkdesign." @default.
- W2169228575 created "2016-06-24" @default.
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- W2169228575 date "2008-01-01" @default.
- W2169228575 modified "2023-09-27" @default.
- W2169228575 title "Dynamic supply network design: integrating inventory and transportation modelling" @default.
- W2169228575 hasPublicationYear "2008" @default.
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