Results 61 to 70 of about 48,121 (260)
Modeling Blank Data Entries in Data Envelopment Analysis [PDF]
We show how Data Envelopment Analysis (DEA) can handle missing data. When blank data entries are coded by appropriate dummy values, the DEA model automatically excludes the missing data from the analysis.
Timo Kuosmanen
core
Corporate Social Responsibility and Environmental Management, EarlyView.ABSTRACT Public organisations often experience a discrepancy between improvements in technical efficiency and stakeholders' perceptions of integrity and performance. This study analyses the mechanisms that may underlie this efficiency–perception discrepancy in Spanish Defence Delegations during 2020–2023.
José Solana‐Ibáñez +1 more
wiley +1 more source
Modifying the convexity condition in Data Envelopment Analysis (DEA)
Nexo Revista Científica, 2020 Conventional Data Envelopment Analysis (DEA) models are based on a production possibility set (PPS) that satisfies various postulates. Extension or modification of these axioms leads to different DEA models. In this paper, our focus concentrates on the convexity axiom, leaving the other axioms unmodified.
Farhad Hosseinzadeh Lotfi +2 more
openaire +1 more source
Investment and Dynamic DEA [PDF]
A dynamic version of Data Envelopment Analysis (DEA) is developed in the present paper. Our model introduces investment in traditional DEA and imposes intertemporal cost minimization.
Li Yan, Pierre Ouellette
core
Energy Science &Engineering, EarlyView.Solar Power plants at various locations a: Pavagada SPP, Karnataka b: Bhadla SPP, Rajasthan c: West Bengal Solar Park ABSTRACT This paper presents a new neuro‐fuzzy multi‐criteria decision‐making (MCDM) framework designed to optimize the selection of solar power plant (SPP) sites across India.
Rajkumari Malemnganbi Devi +8 more
wiley +1 more source
Generalized tolerance sensitivity and DEA metric sensitivity
Croatian Operational Research Review, 2015 This paper considers the relationship between Tolerance sensitivity analysis in optimization and metric sensitivity analysis in Data Envelopment Analysis (DEA).
Luka Neralić, Richard E. Wendell
doaj +1 more source
FlexMat, EarlyView.Abstract Soft robots, engineered from highly compliant materials, offer superior adaptability and safety in unstructured environments compared to their rigid counterparts. Recent advancements, fueled by bio‐inspiration and material programmability, have led to the rapid co‐evolution of their core modules: actuation, sensing, protection, energy, and ...
Qiulei Liu +3 more
wiley +1 more source
A slack-based super efficiency in a two-stage network structure with intermediate measures
Alexandria Engineering Journal, 2019 One of the main challenging issues in the conventional data envelopment analysis (DEA) is ranking efficient decision-making units (DMUs) when more than one DMU have the efficiency score equal to one.
Hoda Golshani +3 more
doaj +1 more source
, 2008 {"references": ["A. Charnes, W.W. Cooper, E. Rhodes, \"Measuring the efficiency of\ndecision making units\", European Journal of Operations Research 2\n(1978) 429 -444.", "L. Easton, D.J. Murphy, J.N. Pearson, \"Purchasing performance\nevaluation: with data envelopment analysis\", European Journal of\nPurchasing & Supply Management 8 (2002) 123-134.
Nadimi, Reza, Fariborz Jolai
openaire +2 more sources
Food Safety and Health, EarlyView.A conceptual framework of virtual water showing its sources, major applications, components of the virtual water footprint, and emerging future directions. The diagram emphasizes the growing role of virtual water in global sustainability and resource planning.
Priti Bhowmik +2 more
wiley +1 more source