In this paper, dynamic
facility location and supply chain planning are studied through minimizing the
costs of facility location, path selection and transportation of coal under
demand uncertainty. The proposed model dynamically incorporates possible
changes in transportation network, facility investment costs, operating cost
and changes in facility location. In addition, the time variation and the demand
uncertainty for coal in each period of the planning horizon is taken into
account to determine the optimal facility location and the optimal production
volumes. Computational process and results are presented for the model in a
java language. Also, an empirical case study in Shanxi province is conducted in
order to investigate the dynamic effects of traffic congestion and demand
uncertainty on facility location design and total system costs.
Cite this paper
Wu, J. and Li, J. (2014) Dynamic Coal Logistics Facility Location under Demand Uncertainty. Open Journal of Social Sciences
, 33-39. doi: 10.4236/jss.2014.29006
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