Work

Design of Disaster Relief Logistics Network System by Combining Three Data Envelopment Analysis-based Methods

Year: 2022

Type: article

Abstract: Design of disaster relief logistics network system by combining three data envelopment analysis-based methodsThe recent pandemic outbreak and weather-related disasters show that there is no place immune from such emergency events.Thus, it would be essential to provide disaster relief items efficiently through a disaster relief logistics network system (DRLNS).This paper considers a design problem of DRLNS.For this purpose, this study presents a process of combining the multi-objective programming (MOP) model with the three data envelopment analysis (DEA)-based methods.Through a case study, the proposed MOP-DEA design framework would help the decision-makers better evaluate the efficiency of various DRLNS configurations and identify the robust and efficient ones among them.

Source: International Journal of Industrial Engineering and Management

DOI: 10.24867/ijiem-2022-3-310

Authors: Jae-Dong Honga, Judith Mwakalonge, Ki-Young Jeong

Institutions: South Carolina State University, University of Houston - Clear Lake

Language: English

Topic: Facility Location and Emergency Management

Subfield: Management Science and Operations Research

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: diamond

Funder: U.S. Department of Education