A New DEA Model for Evaluation of Supply Chains: A Case of Selection and Evaluation of Environmental Efficiency of Suppliers

Krmac, Evelin; Djordjević, Boban

doi:10.3390/sym11040565

Cited by 23 publications

(9 citation statements)

References 112 publications

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“…This approach has many applications from the 1978.For example, evaluation the performance of banks, education departments, airlines, health departments. (LaPlante and Paradi, 2015) , Sustainability assessment of networks supply chain (Tajbakhsh and Hassini, 2015), (Krmac and Djordjević, 2019), Technoeconomic Solar Stills Assessment (Rufuss et al, 2018), assessment of energy efficiency improvement.…”

Section: Traditional Data Analysis Modelmentioning

confidence: 99%

Fueling the Future With Green Economy: An Integration of Its Determinants From Renewable Sources

Khan

Bashir

et al. 2021

Preprint

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Green hydrogen energy is a clean alternative fuel that can help developing economies to increase energy security. This study assesses possible solutions for Pakistan's energy scarcity based on a renewable source of green hydrogen generated through wind, solar, biomass, and geothermal energy. For this purpose, four main criteria: economic, commercialization, environmental, and social acceptance, have been assessed. The study used two-step models, the Fuzzy-analytical hierarchal process, and the Data Envelopment Analysis techniques to evaluate hydrogen energy production through available renewable energy sources. According to the fuzzy-led analysis's empirical results, wind energy source optimization is best suited to produce hydrogen energy in Pakistan for all four criteria (economic benefit, environmental impacts, commercial potential, and social acceptance). At the same time, solar is the second-best option in all the given criteria. The DEA-led analysis also considers wind energy as the most efficient source to produce hydrogen energy in Pakistan. This study can help policymakers develop fact-based hydrogen energy projects in their respective areas, especially in developing economies, as most share the same characteristics.

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Section: Traditional Data Analysis Modelmentioning

confidence: 99%

Fueling the Future With Green Economy: An Integration of Its Determinants From Renewable Sources

Khan

Bashir

et al. 2021

Preprint

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“…Apart from mentioned [31][32][33][34] they have cooperated as follow: India-UAE [35], Chile-India [36] and India-Denmark-Vietnam-Saudi Arabia [37]. Authors from Slovenia and Taiwan contributed without international cooperation, two papers from Slovenia [38,39] and one from Taiwan [40]. In addition, one study is result of cooperation authors between Hungary and Austria [41].…”

Section: Contributionsmentioning

confidence: 99%

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

Zavadskas¹,

Pamučar²,

Stević³

et al. 2020

Symmetry

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The success of any activity and process depends fundamentally on the possibility of balancing (symmetry) needs and their satisfaction. That is, the ability to properly define a set of success indicators. The application of the developed new multi-criteria decision-making (MCDM) methods can be eliminated or decreased by decision-makers’ subjectivity, which leads to consistency or symmetry in the weight values of the criteria. In this Special Issue, 40 research papers and one review study co-authored by 137 researchers from 23 different countries explore aspects of multi-criteria modeling and optimization in crisp or uncertain environments. The papers proposing new approaches and elaborate case studies in the following areas of applications: MCDM optimization in sustainable engineering, environmental sustainability in engineering processes, sustainable multi-criteria production and logistics processes planning, integrated approach for modeling processes in engineering, new trends in the multi-criteria evaluation of sustainable processes, multi-criteria decision-making in strategic management based on sustainable criteria.

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“…Zhou et al [27] introduced a novel dynamic network DEA model with desirable and undesirable indicators based on the interval type-2 fuzzy sets to calculate the detailed efficiencies based on effective and invalid production frontiers in SSCs. Krmac and Djordjević [28] used a nonradial DEA model for evaluating different components of SSCM. This model assesses the environmental efficiency of suppliers considering undesirable inputs and outputs.…”

Section: Introductionmentioning

confidence: 99%

A Developed Data Envelopment Analysis Model for Efficient Sustainable Supply Chain Network Design

2021

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In recent years, various organizations have focused on considering the sustainability concept in the supply chain (SC) design. Managers try to increase the sustainability of SCs to achieve a competitive advantage in today’s growing market. Designing a sustainable supply chain (SSC) by integrating economic, social, and environmental dimensions affects the SC’s overall performance. To achieve the SSC, decision makers (DMs) are required to evaluate different strategies and then apply the most effective one to design SC networks. This study proposes an assessment approach based on the network data envelopment analysis (DEA) to choose an efficient strategy for each stage of an SSC network. This approach seeks to provide a sustainable design with DMs to avoid imposing additional costs on SCs that result from noncompliance with environmental and social issues. To this end, we consider sustainability-concept-related inputs and outputs in the network DEA model to choose the most efficient strategy for SSC design. The strategy selection process can become an important issue, especially when SCs active in a competitive environment. Accordingly, a crucial feature of the presented model is considering the issue of competition to choose the efficient strategy. Furthermore, undesirable outputs and feedbacks and independent inputs and outputs for intermediate stages in the network system are considered to create a structure compatible with the real world. The output of the proposed approach enables DMs to select the appropriate strategy for each stage of the SSC network to maximize the aggregate efficiency of the network.

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A New DEA Model for Evaluation of Supply Chains: A Case of Selection and Evaluation of Environmental Efficiency of Suppliers

Cited by 23 publications

References 112 publications

Fueling the Future With Green Economy: An Integration of Its Determinants From Renewable Sources

Fueling the Future With Green Economy: An Integration of Its Determinants From Renewable Sources

Multi-Criteria Decision-Making Techniques for Improvement Sustainability Engineering Processes

A Developed Data Envelopment Analysis Model for Efficient Sustainable Supply Chain Network Design

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