Application of Integrated Multiple Criteria Data Envelopment Analysis to Humanitarian Logistics Network Design

2020 ◽  
Vol 29 (6) ◽  
pp. 709-729
Author(s):  
Jae-Dong Hong
Keyword(s):  
Data Envelopment Analysis ◽  
Network Design ◽  
Humanitarian Logistics ◽  
Multiple Criteria ◽  
Data Envelopment ◽  
Logistics Network

scholarly journals Long-Term Economic Sustainability of Humanitarian Logistics—A Multi-Level and Time-Series Data Envelopment Analysis

2021 ◽  
Vol 18 (5) ◽  
pp. 2219
Author(s):  
Matthias Klumpp ◽  
Dominic Loske
Keyword(s):  
Data Envelopment Analysis ◽  
Time Series Data ◽  
Malmquist Index ◽  
Developed Countries ◽  
Efficiency Analysis ◽  
Humanitarian Logistics ◽  
Series Data ◽  
Data Envelopment ◽  
Least Developed Countries ◽  
Window Analysis

Although resources are scarce and outputs incorporate the potential to save human lives, efficiency measurement endeavors with data envelopment analysis (DEA) methods are not yet commonplace in the research and practice of non-government organizations (NGO) and states involved in humanitarian logistics. We present a boot-strapped DEA window analysis and Malmquist index application as a methodological state of the art for a multi-input and multi-output efficiency analysis and discuss specific adaptions to typical core challenges in humanitarian logistics. A characteristic feature of humanitarian operations is the fact that a multitude of organizations are involved on at least two levels, national and supra-national, as well as in two sectors, private NGO and government agencies. This is modeled and implemented in an international empirical analysis: First, a comprehensive dataset from the 34 least developed countries in Africa from 2002 to 2015 is applied for the first time in such a DEA Malmquist index efficiency analysis setting regarding the national state actor level. Second, an analysis of different sections in a Rohingya refugee camp in Bangladesh is analyzed based on a bootstrapped DEA with window analysis application for 2017, 2018, and 2019 quarter data regarding the private NGO level of operations in humanitarian logistics.

A bi-objective model for humanitarian logistics network design in response to post-disaster

2019 ◽  
Vol 33 (2) ◽  
pp. 256
Author(s):  
Hamed Tayebi ◽  
Amirhossein Moosavi ◽  
Sadoullah Ebrahimnejad ◽  
Mahshid Zanganeh
Keyword(s):  
Network Design ◽  
Humanitarian Logistics ◽  
Logistics Network ◽  
Objective Model ◽  
Post Disaster

scholarly journals Bi-Objective Multiple Criteria Data Envelopment Analysis combined with the Overall Equipment Effectiveness: An application in an automotive company

2017 ◽  
Vol 157 ◽  
pp. 278-288 ◽  
Author(s):  
Aneirson Francisco da Silva ◽  
Fernando Augusto Silva Marins ◽  
Patricia Miyuki Tamura ◽  
Erica Ximenes Dias
Keyword(s):  
Data Envelopment Analysis ◽  
Multiple Criteria ◽  
Data Envelopment ◽  
Automotive Company
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