Ranking sustainable suppliers by context-dependent data envelopment analysis

Izadikhah, Mohammad; Saen, Reza Farzipoor

doi:10.1007/s10479-019-03370-4

Cited by 39 publications

(6 citation statements)

References 117 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…DEA can be used in benchmarking, target setting, measuring returns to scale, measuring congestion, etc. Because of the capabilities of DEA models in evaluating and ranking DMUs [37]. Despite DEA being an excellent tool to guide policy makers to improve social and urban sustainability [13], it is important to acknowledge that it has to be used carefully and researchers must be aware of its limitations and strengths.…”

Section: Discussionmentioning

confidence: 99%

Assessing the Efficiency of Sustainable Cities Using an Empirical Approach

et al. 2020

View full text Add to dashboard Cite

Sustainability is a multidisciplinary discipline posing a difficult problem as a result of its integrated assessment. From a broad perspective, it considers the impact of human activities (using different resources) and natural conditions on local environments. Urban development has been identified as one of the most important reasons for environmental and social degradation. To address the complexity of sustainability and its impact, policymakers need to be equipped with the right toolkit to foresee the integrated effect of projects and plans on urban sustainability more effectively in their policy design. In this paper, we propose a tool to assess the sustainable performance of urban areas through a common framework of indicators which provides an integrated measurement based on the relative efficiency of key input variables on desirable and undesirable outputs. Using Data Envelopment Analysis (DEA), we propose a procedure for determining the relative efficiency of relevant urban areas, proposing this method as a candidate for integrated sustainability measurement. The selection of variables is based on dimensions which can be addressed from a political perspective for achieving more desirable outputs, or reducing the undesirable ones, controlling for key resources as much as possible. Our analysis takes a comprehensive scope including an environmental and socioeconomic perspective. This will be useful to identify weaknesses and strengths to improve the integrated performance of cities. Our array of indicators, based on standardized key performance indicators (KPIs) will enable policymakers to gather an insightful impact of their proposals in urban sustainability carrying out a global sustainability impact assessment through DEA. The main goal is to gather the urban experience of transforming cities into smarter cities and putting technological progress at the service of their societies.

show abstract

Section: Discussionmentioning

confidence: 99%

Assessing the Efficiency of Sustainable Cities Using an Empirical Approach

et al. 2020

View full text Add to dashboard Cite

show abstract

“…A very flexible DEA model for performance evaluation of sustainable providers in the presence of deterministic, stochastic, and fuzzy data in one framework was developed by Tavassoli et al (2020) [60]. Izadikhah and Saen (2019a) [61] focus their attention on ranking. They used a context-dependent DEA approach to suggest a new clustering based on values of attractiveness and progress.…”

Section: Selecting a Sustainable Provider By Using The Dea Methodsmentioning

confidence: 99%

A Distance-Based AHP-DEA Super-Efficiency Approach for Selecting an Electric Bike Sharing System Provider: One Step Closer to Sustainability and a Win–Win Effect for All Target Groups

Bajec

Tuljak-Suban

Zalokar³

2021

Sustainability

View full text Add to dashboard Cite

Existing research on electric bike sharing systems (e-BSS) emphasises the importance of the sustainability of the systems and the need to respect the views of all stakeholders when planning e-BSS. However, this research overlooks the fact that the sustainability of e-BSS depends to a large extent on the skills and knowledge of the parties who select an electric bike provider, which in most cases is the investor in the e-BSS. There is no previous paper that provides support for investors in (1) defining a set of criteria for selecting a provider that takes into account all of the three domains of sustainability (economic, social, and environmental) and (2) developing a tool that best meets sustainability standards on the one hand and the needs and requirements of all stakeholders (including e-bike users and investors) on the other hand. A distance-based analytic hierarchy process/data envelopment analysis (AHP-DEA) super-efficiency approach was proposed and applied to adapt DEA to the needs of predefined groups by using slack variables. The approach takes into account the fact that not all outputs have a positive impact on the final outcome; the approach also allows decision-makers to define the hierarchical structure of the importance of the criteria directly based on the responses of the selected group. A case study in Slovenia illustrated the application of the approach.

show abstract

“…A systematic DEA approach was introduced in [107] to select suppliers for a sustainable supply chain, and a genetic programming-based DEA method was applied in [106] for green supplier selection under fuzzy environment. In addition, the two-stage DEA [95], the differential evolution-based DEA [96,101], the fuzzy DEA [100], the interval-valued Pythagorean fuzzy DEA [108], the context-dependent DEA [109], and the ecoefficiency DEA [102] have been established for sustainable supplier evaluation and selection.…”

Section: Mathematical Programming Methodsmentioning

confidence: 99%

“…Lead time [20, 30, 51, 57, 73, 86, 92, 93, 96, 103-105, 112, 123-125, 143, 146, 162, 169, 180, 190, 199, 204] 24 On-time delivery [17,30,32,35,61,64,67,72,86,94,108,109,116,121,124,126,136,138,140,153,167,169,170,186,198,209] 26 Service Service quality [24,27,32,35,36,42,43,72,76,79,83,89,96,122,124,145,156,…”

mentioning

confidence: 99%

Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Zhang

Liu

et al. 2020

Mathematical Problems in Engineering

View full text Add to dashboard Cite

The role of green supplier evaluation and selection (GSES) in supply chain management is increasingly appreciated due to the intensification of competition, raising public consciousness, and environmental issues. To improve GSES, a large number of approaches have been proposed in the past decades. However, few attempts have been made to systematically review and classify the literature in this field. The objective of this study is to afford a comprehensive review of the studies which aim to develop models and methods in helping enterprises to assess and select the right green suppliers. To achieve this goal, a total of 193 journal articles extracted from the Scopus database over the period of 2009 to 2020 were chosen and reviewed. These publications were classified into ten categories based on their adopted GSES models and analyzed concerning the evaluation criteria, criteria weighting methods, and performance evaluation methods. Moreover, a bibliometric analysis was conducted according to the frequency of supplier selection methods, citation number, publication year, journal, country, and application area. This study supports practitioners, managers, and researchers in effectively recognizing and applying the GSES models to enhance organizational competitiveness and provides an insight into its state of the art.

show abstract

Ranking sustainable suppliers by context-dependent data envelopment analysis

Cited by 39 publications

References 117 publications

Assessing the Efficiency of Sustainable Cities Using an Empirical Approach

Assessing the Efficiency of Sustainable Cities Using an Empirical Approach

A Distance-Based AHP-DEA Super-Efficiency Approach for Selecting an Electric Bike Sharing System Provider: One Step Closer to Sustainability and a Win–Win Effect for All Target Groups

Green Supplier Evaluation and Selections: A State-of-the-Art Literature Review of Models, Methods, and Applications

Contact Info

Product

Resources

About