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Eco-efficiency measurement of industrial sectors in China: A hybrid super-efficiency DEA analysis

Journal of Cleaner Production, 2019
Eco-efficiency is of great significance in the attainment of a sustainable society, and is the most severe issue facing industrial sectors in China. In this work, a hybrid super-efficiency data envelopment analysis (DEA) was conducted to measure eco ...
Xinmin Wang, H. Ding, Ling Liu
semanticscholar   +1 more source

Anchor points in DEA

European Journal of Operational Research, 2009
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Marie-Laure Bougnol, José H. Dulá
openaire   +2 more sources

Assessing sustainability of supply chains: An inverse network dynamic DEA model

Computers & industrial engineering, 2019
In this paper, we assess sustainability of supply chains by data envelopment analysis (DEA). DEA is a popular and beneficial method to assess efficiency of decision making units (DMUs). We introduce a network dynamic DEA model to assess sustainability of
Majid Kalantary, R. F. Saen
semanticscholar   +1 more source

7 Final Report on the Safety Assessment of Cocamide DEA, Lauramide DEA, Linoleamide DEA, and Oleamide DEA

Journal of the American College of Toxicology, 1986
Cocamide DEA, Lauramide DEA, Linoleamide DEA, and Oleamide DEA are fatty acid diethanolamides that may contain 4–33% diethanolamine. These ingredients are used in cosmetics at concentrations of <0.1–50%, with most products containing 1–25% diethanolamide. Cocamide DEA and Lauramide DEA are inactive ingredients in prescription drugs.
openaire   +1 more source

Primal-dual correspondence and frontier projections in two-stage network DEA models

Omega, 2019
The standard data envelopment analysis (DEA) procedure involves solving a pair of two types of models, multiplier model and envelopment model, and one of the most interesting features of DEA is that these two types of models are equivalent due to duality
Sungmook Lim, Joe Zhu
semanticscholar   +1 more source

Energy efficiency evaluation and energy saving based on DEA integrated affinity propagation clustering: Case study of complex petrochemical industries

Energy, 2019
Data envelopment analysis (DEA) has been widely used in the energy efficiency analysis of industrial production processes. However, the traditional DEA model is not high in the division of the efficiency value of decision making units (DMUs), and ...
Zhiqiang Geng   +4 more
semanticscholar   +1 more source

A comment on dynamic DEA

Applied Mathematics and Computation, 2009
This brief comment provides a modification of the dynamic DEA model of Amirteimoori which appeared recently in this journal. The goal is to more directly allow the actions in the present period to have impacts on the future.
Rolf Färe, Shawna Grosskopf
openaire   +1 more source

Multi expert and multi criteria evaluation of sectoral investments for sustainable development: An integrated fuzzy AHP, VIKOR / DEA methodology

Sustainable cities and society, 2018
The 2030 agenda for sustainable development calls for a holistic approach. It needs to tackle multidimensional aspects such as poverty, inequality, inclusivity, skill development to name a few. In this paper, a multi expert multi criteria decision making
L. Suganthi
semanticscholar   +1 more source

Assessing sustainability of supply chains by double frontier network DEA: A big data approach

Computers & Operations Research, 2017
Nowadays, performance evaluation of sustainable supply chain management (SSCM) is a very important topic for researchers and practitioners. Data envelopment analysis (DEA) is an appropriate method for assessing performance of SSCM in presence of Big Data.
Taliva Badiezadeh   +2 more
semanticscholar   +1 more source

DEA efficiency analysis: A DEA approach with double frontiers

International Journal of Systems Science, 2013
Data envelopment analysis (DEA) is a method for measuring efficiency of peer decision-making units (DMUs). Conventional DEA evaluates the performance of each DMU using a set of most favourable weights. As a result, traditional DEA models can be considered methods for the analysis of the best relative efficiency or analysis of the optimistic efficiency.
openaire   +1 more source

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