q-Rung Orthopair Fuzzy TOPSIS Method for Green Supplier Selection Problem

Pınar, Adem; Daneshvar, Rouyendegh Babak; Özdemir, Yavuz Selim

doi:10.3390/su13020985

Cited by 66 publications

(24 citation statements)

References 45 publications

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“…The obtained results showed that the offered approach had the high performance to select the best supplier due to indicators of the GSSP. Pınar et al ( 2021 ) developed the q-Rung Orthopair Fuzzy TOPSIS approach to select the best suppliers considering green criteria for a Turkish company. They compared the results of the developed method with the traditional TOPSIS and showed that their approach obtained more stable results.…”

Section: Literature Reviewmentioning

confidence: 99%

The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach

Alamroshan

La’li

Yahyaei

2021

Environ Sci Pollut Res

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The supplier selection problem (SSP) is known as one of the major issues in the supply chain management area. In this field, the literature shows that the combination of green and agile indicators has been ignored by researchers. Hence, this research attempts to study the SSP considering green and agile aspects, simultaneously. To do this, an efficient hybrid fuzzy decision-making approach is developed based on the Fuzzy Decision-Making Trial and Evaluation Laboratory (FDEMATEL), Fuzzy Best-Worst Method (FBWM), Fuzzy Analytic Network Process (FANP), and Fuzzy Vlse Kriterijumsk Optimizacija Kompromisno Resenje (FVIKOR) methods. Then, to show the efficiency and application of the proposed approach, a case study in the medical devices industry is investigated. After determining the main indicators and alternatives, the interrelationships between indicators are identified employing FDEMATEL. Then, the weights of indicators are calculated using integrated FBWM-FANP. Finally, the potential suppliers are ranked applying FVIKOR. Based on the obtained results, price and greenness are the more important aspects and also material costs, environmental performance evaluation, manufacture flexibility, service level, and system reliability are the most important criteria for the green-agile supplier selection problem in the medical devices industry. Since all of the consistency ratios are less than 0.1, the reliability of the results is proved. On the other side, the results of conducting sensitivity analysis show that by changing the defuzzification methods, there is no significant change in the obtained results that demonstrates the validity of the proposed approach. Eventually, based on the obtained results, suppliers #1 and #5 are the best suppliers for the considered company. Supplementary Information The online version contains supplementary material available at 10.1007/s11356-021-14690-z.

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Section: Literature Reviewmentioning

confidence: 99%

The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach

Alamroshan

La’li

Yahyaei

2021

Environ Sci Pollut Res

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“…Finally, future research may consider the use of other ranking techniques, such as the Best-Worst Method (BWM), in which decision-makers choose the best (most significant) criterion and the worst (least significant) criterion and then provide two preference vectors by comparing criteria best to other (BO) and other to worst (OW) [76,77], the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) [14,78] under fuzzy environment, namely fuzzy-TOPSIS [12,79,80], Analytic Hierarchy Process (AHP) [10,11], Elimination and Choice Expressing Reality (ELECTRE) [23,81], Stepwise Weight Assessment Ratio Analysis (SWARA) [82,83] and similar techniques can be applied to elicit the position of each alternative. In addition, the proposed approach can be implemented in other fields, such as, Logistics, Financial Applications, Industrial Location, Manpower Planning, Water Resources, Investments, Medicine, Chemistry, Health Care, Tourism, Management, among others.…”

Section: Discussionmentioning

confidence: 99%

A Decision Support Tool for Supplier Evaluation and Selection

Soares

López

2021

Sustainability

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The supplier selection process is considered one of the most relevant decisions in supply chain management due to its effect on the product quality and on buyer performance. Supplier selection is often unstructured, and is generally based on the lowest-price proposal. However, this type of selection involves a high risk, sometimes resulting in project delays, poor quality of acquired goods, and large financial losses. Price is undoubtedly an important criterion when choosing a supplier; however, other equally important criteria must be considered. Therefore, supplier selection should be formulated as a multi-criteria decision-making (MCDM) problem. This study uses the PROMETHEE-GAIA (Preference Ranking Organization Method for Enrichment of Evaluations—Geometrical Analysis for Interactive Assistance) method to classify and select suppliers in an agrifood company. One of the advantages of this method is that it allows decision-makers to set their preferences considering all the relevant criteria simultaneously, and their relative importance. The case study demonstrates that PROMETHEE constitutes a flexible MCDM tool for supplier evaluation and selection, rank the different alternatives, and provide valuable insights. The results show that the supplier selection process has a strong point related to the existence of two groups of suppliers, one focused on economic criteria and other related to the innovative capacity. However, a flaw emerges, as little relevance is associated to the environmental criterion.

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“…Jellali et al [ 50 ] carried out a sustainable configuration of the Tunisian olive oil supply chain using a FUZZY TOPSIS-based approach (Sustainable Configuration of the Tunisian Olive Oil Supply Chain Using a FUZZY TOPSIS-Based Approach). Supply issues were also a struggle in A. Pinar et al [ 51 ].…”

Section: Methodsmentioning

confidence: 99%

Experiencing Stress among Different Professional Groups in the Context of Their Age

Bartkowiak

Krugiełka

Kostrzewa-Demczuk

et al. 2022

IJERPH

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The subject of this article is the identification of coping with stress and experiencing stress in three groups of the same number of people, different in terms of their occupation: professional soldiers of the Polish Army with the rank of an officer, people employed in managerial positions, and specialists working in independent positions in the context of their age. The analysis of the literature and the research carried out refer to the concept of sustainable development. This indicates the need to take care of limiting excessive stress and improving the mental well-being of all employees, regardless of the demographic characteristics and nature of the work performed. In order to identify possible differences, three types of questionnaires meeting the criteria of psychometric correctness were used (CISS, KPS, PSS-10). The obtained results were subjected to statistical analysis using the FUZZY TOPSIS method based on multi-criteria decision-making and the fuzzy logic, which was first applied in the social science. The obtained data confirmed some differentiation within the three studied groups, as well as the modifying role of age in coping and experiencing stress.

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q-Rung Orthopair Fuzzy TOPSIS Method for Green Supplier Selection Problem

Cited by 66 publications

References 45 publications

The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach

The green-agile supplier selection problem for the medical devices: a hybrid fuzzy decision-making approach

A Decision Support Tool for Supplier Evaluation and Selection

Experiencing Stress among Different Professional Groups in the Context of Their Age

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