Journal Name:
- Journal of Industrial Engineering and Management
Key Words:
Abstract (2. Language):
Purpose: The purpose of this paper is to propose and compare the performance
of the "two" robust mathematical models, the Robust Integer Facility Location
(RIFL) and the Robust Continuous Facility Location (RCFL) models, to solve the
emergency response facility and transportation problems in terms of the total
logistics cost and robustness.
Design/methodology/approach: The emergency response facilities include
distribution warehouses (DWH) where relief goods are stored, commodity
distribution points (CDP), and neighborhood locations. Authors propose two
robust models: the Robust Integer Facility Location (RIFL) model where the
demand of a C D P is covered by a main D W H or a backup CDP; the Robust
Continuous Facility Location (RCFL) model where that of a C D P is covered by
multiple DWHs. The performance of these models is compared with each other
and to the Regular Facility Location (RFL) model where a C D P is covered by one
main D W H . The case studies with multiple scenarios are analyzed.
Findings: The results illustrate that the R F L outperforms others under normal
conditions while the RCFL outperforms others under the emergency conditions.
Overall, the total logistics cost and robustness level of the RCFL outperformsthose of other models while the performance of RFL and RIFL is mixed between the cost and robustness index.
Originality/value: Two new emergency distribution approaches are modeled, and evaluated using case studies. In addition to the total logistics cost, the robustness index is uniquely presented and applied. The proposed models and robustness concept are hoped to shed light to the future works in the field of disaster logistics management.
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