[HTML][HTML] Explainable artificial intelligence and agile decision-making in supply chain cyber resilience

K Sadeghi, D Ojha, P Kaur, RV Mahto, A Dhir - Decision Support Systems, 2024 - Elsevier
Although artificial intelligence can contribute to decision-making processes, many industry
players lag behind pioneering companies in utilizing artificial intelligence-driven …

China's low-carbon economic growth: An empirical analysis based on the combination of parametric and nonparametric methods

J Xiu, X Zang, Z Piao, L Li, K Kim - Environmental Science and Pollution …, 2023 - Springer
As the world's most populous developing country and the world's largest carbon emitter,
China has already completed its 2020 Intended National Determined Contribution set out in …

[PDF][PDF] Efficiency and productivity analysis of the indian agriculture sector based on the malmquist-dea

V Chaubey, DS Sharanappa, KK Mohanta… - Universal journal of …, 2022 - academia.edu
This article evaluated the agricultural performance of 31 states and union territories (UTs) in
India from 2012 to 2017. The best agricultural productivity states and UTs in India were …

Manufacturing structure, transformation path, and performance evolution: an industrial network perspective

Y Li, H Ma, J Xiong, J Zhang, PKP Divakaran - Socio-Economic Planning …, 2022 - Elsevier
To promote manufacturing transformation and upgrading, this paper proposes a
comprehensive analytical framework for manufacturing development from an industrial …

Accounting for intra-industry technological heterogeneity in the measurement of operations efficiency

MG Tsionas, PC Patel - International journal of production economics, 2023 - Elsevier
In operations management literature, efficiency is usually measured using parallel shifts of
production functions. This practice is based on the assumption that operations technologies …

Optimistic and pessimistic fuzzy data envelopment analysis: Empirical evidence from Tehran stock market

P Peykani, M Namakshenas… - Fuzzy optimization …, 2021 - fomj.qaemshahr.iau.ir
In this paper, the fuzzy chance-constrained data envelopment analysis (FCCDEA) approach
is presented for stock evaluation and portfolio selection under data ambiguity. To propose …

[HTML][HTML] Enchanting performance measurement and management with data envelopment analysis: Insights from bibliometric data visualization and analysis

V Cvetkoska, L Eftimov, B Kitanovikj - Decision Analytics Journal, 2023 - Elsevier
While the breadth of applicative uses of data envelopment analysis (DEA) has increased
over time, this non-parametric frontier methodology has proven effective for measuring how …

Fuzzy based supply chain management system for intelligent manufacturing prioritization of boiler insulation items

M Nadanakumar, P Parthiban - Journal of Data, Information and …, 2023 - Springer
One of the main challenges faced by the industries in the global competitive environment is
the supply chain management. Adoption of computer based decision making in supply chain …

Characterization of production sets through individual returns-to-scale: A non parametric specification and an illustration with the US industries

JP Boussemart, W Briec, R Parvulescu… - International Journal of …, 2024 - Elsevier
This paper proposes to estimate the returns-to-scale of production sets by considering the
individual return of each observation, considered as a decision-making unit through the …

Stochastic sensitivity analysis in data envelopment analysis

N Arabjazi, M Rostamy-Malkhalifeh, FH Lotfi… - … and Modeling Journal …, 2021 - oiccpress.com
Data Envelopment Analysis (DEA) is an impeccable approach based on mathematical
programming for the efficiency measurement of homogeneous Decision-Making Units …