A comparative assessment of solid waste management performance in the Nordic countries based on BWM-EDAS

Behzad, Masoud; Zolfani, Sarfaraz Hashemkhani; Pamučar, Dragan; Behzad, Moein

doi:10.1016/j.jclepro.2020.122008

Cited by 69 publications

(19 citation statements)

References 35 publications

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“…Amiri et al (2020) developed a group BWM and integrated it with a fuzzy preference programming method to examine hospital performance. Other studies have also used BWM for evaluation purposes, including the performance of solid waste management (Behzad et al 2020), insurance companies (Dwivedi et al 2021), and healthcare departments (Torkayesh et al 2021), driver's behavior in road safety (Moslem et al 2020), the green performance of airports (Kumar et al 2020), selection of providers (Muravev and Mijic 2020), and ship recycling (Soner et al 2021). Similarly, the method based on Shannon's entropy is an appropriate technique for specifying the relevance of weights in multiple attribute decision-making methods.…”

Section: Copras Multimoora and Topsismentioning

confidence: 99%

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

Tavana

Shaabani

Santos‐Arteaga

et al. 2021

Environ Sci Pollut Res

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Green supply chain management considers the environmental effects of all activities related to the supply chain, from obtaining raw materials to the final delivery of finished goods. Selecting the right supplier is a critical decision in green supply chain management. We propose a fuzzy green supplier selection model for sustainable supply chains in reverse logistics. We define a novel hierarchical fuzzy best-worst method (HFBWM) to determine the importance weights of the green criteria and sub-criteria selected. The fuzzy extension of Shannon's entropy, a more complex evaluation method, is also used to determine the criteria weights, providing a reference comparison benchmark. Several hybrid models integrating both weighting techniques with fuzzy versions of complex proportional assessment (COPRAS), multi-objective optimization by ratio analysis plus the full multiplicative form (MULTIMOORA), and the technique for order of preference by similarity to ideal solution (TOPSIS) are designed to rank the suppliers based on their ability to recycle in reverse logistics. We aggregate these methods' ranking results through a consensus ranking model and illustrate the capacity of relatively simple methods such as fuzzy COPRAS and fuzzy MOORA to provide robust rankings highly correlated with those delivered by more complex techniques such as fuzzy MULTIMOORA. We also find that the ranking results obtained by these hybrid models are more consistent when HFBWM determines the weights. A case study in the asphalt manufacturing industry is presented to demonstrate the proposed methods' applicability and efficacy.

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Section: Copras Multimoora and Topsismentioning

confidence: 99%

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

Tavana

Shaabani

Santos‐Arteaga

et al. 2021

Environ Sci Pollut Res

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“…The proposed decision-making model has applied a neighborhood selection problem for a new international student who wants to be located in Istanbul, Turkey. Behzad et al (2020) used a hybrid decision-making model with the aid of BWM and EDAS models to make an evaluation framework in order to assess waste management status in Nordic countries.…”

Section: Literature Reviewmentioning

confidence: 99%

International market selection: a MABA based EDAS analysis framework

Zolfani

Torkayesh

Ecer

et al. 2021

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Research background: International market selection is an essential issue for big companies that supply food products. Different types of decision factors and different characteristics of different international markets have brought up a complicated decision-making problem for food supply companies. In order to select the most suitable and profitable market, food supply companies have to consider several qualitative and quantitative factors, including social, political, economic, and ecological aspects. Purpose of the article: In order to overcome international market selection issues, the current study develops a novel integrated decision-making tool. Methods: A novel decision-making model of market analysis is developed as an extended model of Market Attractiveness and Business Attractiveness (MABA) analysis based on the Multiple Attribute Decision Making (MADM). To improve the MABA analysis model, we combine the EDAS method with MABA analysis to empower decision-makers in food supply companies to evaluate several international markets and select the most profitable market for their products. Findings & value added: In this study, we first identified the most important and frequently used decision factors for market analysis problems within MABA analysis under two categories: market attractiveness and business attractiveness. To show the proposed methodology's applicability and feasibility, we perform a case study for a food supply company in Iran that supplies products to Middle East and Asian countries. In order to investigate the reliability of the obtained results, we perform a sensitivity analysis concerning the importance of involved decision factors. The proposed decision-making tool results suggest that the model can be used as a reliable tool for market analysis problems. To sum up the long-term value of the study, we have developed a novel decision-making tool using MABA analysis and the EDAS method. No study integrates any MCDM methods with MABA analysis to the best of our knowledge. Integration of EDAS method with MABA analysis empowers decision-makers in market selection division to use more systematic methods for evaluating several markets.

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“…Let us assume that the first criterion is dominant, i.e. that Step 2), here too, we use the NDSL model for determining weight coefficients of criteria (Behzad et al, 2020), Slika 1.…”

Section: Multiple-criteria Evaluation Model For Medical Professionals Assigned To Covid Hospitalsmentioning

confidence: 99%

Multiple-criteria Evaluation Model for Medical Professionals Assigned to Temporary SARS-CoV-2 Hospitals

Žižović

Pamučar

Miljković

et al. 2021

Decis. Mak. Appl. Manag. Eng.

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Hospitals around the world, as health institutions with a key role in the health system, face problems while providing health services to patients with various types of diseases. Currently, those problems are intensified due to the pandemic caused by SARS-CoV-2 virus. This pandemic has caused an extreme spread of the disease with constantly changing needs of patients which impacts the capacities and overall functioning of hospitals. In order to meet the challenge of the COVID-19 (COronaVIrus Disease- 2019) pandemic, health systems must adjust to new circumstances and establish separate hospitals exclusive for patients infected with SARS-CoV-2 virus. In the process of creating COVID-19 hospitals, health systems face a shortage of medical professionals trained for work in COVID-19 hospitals. Using this as a starting point, this study puts forward a two-phase model for the evaluation and selection of nurses for COVID-19 hospitals. Each phase of the model features a separate multiple-criteria model. In the first phase, a multiple-criteria model with a dominant criterion is formed and candidates who meet the defined requirements are evaluated. In the second phase, a modified multiple-criteria model is formed and used to evaluate medical professionals who do not meet the requirements of the dominant criterion. By applying this model, two groups of medical professionals are defined: 1) medical professionals who completely meet the requirements for working in COVID-19 hospitals and 2) medical professionals who require additional training. The criteria for evaluation of medical professionals in this multiple-criteria model are defined based on research conducted on medical professionals assigned to the COVID-19 Crisis Response Team during the COVID-19 pandemic in the Republic of Serbia. The model was tested on a real example of evaluating medical professionals assigned to the COVID-19 hospital in Sombor. The model for evaluating medical professionals presented in this paper can help decision makers in hospitals and national policy makers to determine the readiness level of hospitals for working in the conditions of the COVID-19 pandemic, as well as underline the areas in which hospitals are not ready to meet the challenges of the pandemic.

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A comparative assessment of solid waste management performance in the Nordic countries based on BWM-EDAS

Cited by 69 publications

References 35 publications

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

An integrated fuzzy sustainable supplier evaluation and selection framework for green supply chains in reverse logistics

International market selection: a MABA based EDAS analysis framework

Multiple-criteria Evaluation Model for Medical Professionals Assigned to Temporary SARS-CoV-2 Hospitals

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