Citation

Sheu JB, Pan C. Transportmetrica A: Transp. Sci. 2015; 11(3): 210-242.

Copyright

(Copyright © 2015, Informa - Taylor and Francis Group)

DOI

10.1080/23249935.2014.951886

PMID

unavailable

Abstract

This paper proposes a novel relief supply collaboration approach to address the issue of post-disaster relief supply-demand imbalance in emergency logistics (EL) operations. This proposed approach involves two levels of recursive functions: (1) a two-stage relief supplier clustering mechanism for time-varying multi-source relief supplier selection and (2) the use of stochastic dynamic programming model to determine a multi-source relief supply that minimises the impact of relief supply-demand imbalance during EL response. The distinctive features of this proposed approach are to identify the potential relief suppliers and to minimise the imbalanced supply-demand impact under relief supply collaboration. Scenario design and model tests are conducted to demonstrate that relief supply collaboration with grouped relief suppliers has a significant benefit of alleviating the impact of imbalanced relief supply-demand, relative to collaboration with ungrouped ones.

Language: en