A review on the 40 years of existence of data envelopment analysis models: historic development and current trends
DEA, incepted in 80s, has emerged as a popular decision-making technique, for
determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …
determining the efficiency of similar units. Due to its simplicity and applicability, DEA has …
An implementation framework for resiliency assessment in a supply chain
To enhance their capabilities, modern businesses employ an agility and flexibility approach
within their supply chains, but this also causes supply chain instability. As a result, supply …
within their supply chains, but this also causes supply chain instability. As a result, supply …
Assessing data-driven sustainable supply chain management indicators for the textile industry under industrial disruption and ambidexterity
This study contributes to developing the existing knowledge regarding data-driven
sustainable supply chain management (SSCM) indicators under industrial disruption and …
sustainable supply chain management (SSCM) indicators under industrial disruption and …
[HTML][HTML] Evaluating supply chain network resilience considering disruption propagation
Amidst the current global disruptions on supply chains, having a comprehensive framework
for evaluating supply chain resilience is of utmost importance. However, existing techniques …
for evaluating supply chain resilience is of utmost importance. However, existing techniques …
A data-driven model for sustainable and resilient supplier selection and order allocation problem in a responsive supply chain: A case study of healthcare system
S Nayeri, MA Khoei, MR Rouhani-Tazangi… - … Applications of Artificial …, 2023 - Elsevier
This research attempts to study the Supplier Selection and Order Allocation Problem
(SSOAP) considering three crucial concepts, namely responsiveness, sustainability, and …
(SSOAP) considering three crucial concepts, namely responsiveness, sustainability, and …
Forecasting sustainability of healthcare supply chains using deep learning and network data envelopment analysis
The main objective of this study is to propose a network data envelopment analysis (NDEA)
model and a deep learning approach for forecasting the sustainability of healthcare supply …
model and a deep learning approach for forecasting the sustainability of healthcare supply …
Resilient supply chain network design without lagging sustainability responsibilities
In the 21st century, global supply chains have experienced severe risks due to disruptions
caused by crises and serious diseases, such as the great tsunami, SARS, and, more …
caused by crises and serious diseases, such as the great tsunami, SARS, and, more …
Performance measurement of a Resilient-Sustainable Supply Chain through fuzzy multi-criteria techniques
New trends and approaches related to environmental protection and social welfare;
changes have been implemented that adapt supply chains (SC) to meet the requirements of …
changes have been implemented that adapt supply chains (SC) to meet the requirements of …
Coordination of public-private transport and sustainability measurement: A futuristic perspective in transport
Coordination in providing sustainable and effective transport services can be beneficial for
both the public and private sectors. Although there is considerable research in each of …
both the public and private sectors. Although there is considerable research in each of …
Selecting slacks-based data envelopment analysis models
Data envelopment analysis (DEA) is a well-known data-driven mathematical modeling
approach that aims at evaluating the relative efficiency of a set of comparable decision …
approach that aims at evaluating the relative efficiency of a set of comparable decision …