The healthcare industry is one application for data envelopment analysis (DEA) that can
have significant benefits for standardizing health service delivery. This narrative review …

Parametric and non-parametric frontier applications are typical for measuring the efficiency
and productivity of many healthcare units. Due to the current COVID-19 pandemic, hospital …

This paper proposes a novel fuzzy mathematical model for a distribution network design
problem in a multi-product, multi-period, multi-echelon, multi-plant, multi-retailer, multi-mode …

The goal of the current research is to propose the credibility-based fuzzy window data
envelopment analysis (CFWDEA) approach as a novel method for the dynamic performance …

The purpose of this study is to provide an efficient method for the selection of input–output
indicators in the data envelopment analysis (DEA) approach, in order to improve the …

The spread of coronavirus disease around the world has had an immense impact on most
economic sectors. Yet amid the turmoil and chaos from the worldwide pandemic, one …

In this paper, the problem of finding an assignment of “n” surgeries to be presented in one of
“m” identical operating rooms (ORs) or machines as the surgical case scheduling problem …

The high dimensionality and sparsity of the microarray gene expression data make it
challenging to analyze and screen the optimal subset of genes as predictors of breast …

esearch background: The corporate debt situation can be considered a crucial factor influ-
encing the future development of the financial performance of the firm. It is essential for …

Today, the chemical corrosion of metals is one of the main problems of large productions,
especially in the oil and gas industries. Due to massive downtime connected to corrosion …