Investigation of Green Criteria With Clustering Analysis in Green Supplier Selection

2022 ◽  
pp. 207-228
Author(s):  
Mehmet Ali Taş ◽  
Serap Akcan
Keyword(s):  
Clustering Analysis ◽  
Supplier Selection ◽  
Crucial Importance ◽  
Green Supplier Selection ◽  
The Past ◽  
Usage Frequency ◽  
Public Pressure ◽  
Green Suppliers ◽  
Green Criteria ◽  
Selection Of

Green supplier selection has a crucial importance for businesses. In the past, the selection of suppliers was solely based on conventional criteria such as cost, quality, and flexibility whereas expectations of businesses transformed in today's world on grounds of raised environmental awareness, public pressure, and regulations. Alternatives called green suppliers sensitive to the environment, preserving the ecological balance, managing wastes, and preventing pollution increased in value. This study analyzes practices on the selection of green suppliers. The articles between 2014 and 2021 were analyzed from the perspective of green criteria. The green criteria in the 50 articles determined are divided into 28 groups. With the k-means algorithm, these criteria groups are divided into four clusters, which was aimed to analyze the usage frequency of green criteria. This study is intended to contribute to green supplier selection practices in academia and industry in the future.

Integrated FAHP-VIKOR model for green supplier selection in a Nickle coating SME

2020 ◽  
pp. 133-139
Author(s):  
Sanatan Ratna ◽  
B Kumar
Keyword(s):  
Staff Training ◽  
Supplier Selection ◽  
Fuzzy Ahp ◽  
Research Work ◽  
Supplier Evaluation ◽  
Green Supplier Selection ◽  
The Past ◽  
Coating Industry ◽  
Sustainability Issue ◽  
Selection Of

In the past few decades, there has been lot of focus on the issue of sustainability. This has occurred due to the growing concerns related to climate change and the growing awareness about environmental concerns. Also, the competition at global level has led to the search for the most sustainable route in the industries. The current research work deals with the selection of green supplier in a Nickle coating industry based on certain weighted green attributes. For this purpose, a hybrid tool comprising of Fuzzy AHP (Fuzzy Analytical Hierarchy) and VIKOR (VlseKriterijumska Optimizacija I Kompromisno Resenje) is used. The Fuzzy AHP is used for assigning proper weights to the selected criteria for supplier evaluation, while VIKOR is used for final supplier selection based on the weighted criteria. The three criterions for green supplier selection are, Ecological packaging, Corporate socio-environmental responsibility and Staff Training. The outcome of the integrated model may serve as a steppingstone to other SMEs in different sectors for selecting the most suitable supplier for addressing the sustainability issue.

scholarly journals GREEN SUPPLIER SELECTION PRACTICES AND ITS IMPLICATIONS OF GREEN PURCHASING: CASE STUDY AT 5 STARS HOTEL IN BALI

2020 ◽  
Vol 4 (2) ◽  
pp. 140-149
Author(s):  
I Ketut Astawa ◽  
◽  
I Ketut Budarma ◽  
Cokorda Istri Sri Widhari ◽  
◽  
...  
Keyword(s):  
Supplier Selection ◽  
Environmentally Friendly ◽  
Green Supply Chain ◽  
Green Supplier Selection ◽  
Descriptive Research ◽  
Market Opportunities ◽  
Green Purchasing ◽  
Green Suppliers ◽  
Selection Of

Purpose: The purpose of this study is to examine the practice of selecting green suppliers conducted by companies to be environmentally friendly and how these practices have implications for purchasing green products in 5-star hotels in Bali. Research methods: This study is guided by the green supply chain management model and the green selection model. A descriptive research design is used. Data were collected using a questionnaire. The population consists of 63 employees from companies that supply room supplies, food & beverage, chemical, and Spa. Data were analyzed using SPSS and presented using tables, graphs, frequencies, and percentages. Results and discussions: The study revealed that the selection of environmentally friendly suppliers had a positive and significant effect on the implementation of environmentally friendly purchases. The implications of selecting green suppliers create new market opportunities. Hotel cooperation with suppliers is getting closer and mutually committed to operational purchasing activities. Conclusion: The study revealed that the selection of environmentally friendly suppliers had a positive and significant effect on the implementation of environmentally friendly purchases. The indication was that green supplier selection is a major factor that influences the implementation of green purchasing at 5 stars hotel in Bali.

scholarly journals An Application of Fuzzy Integrated Model in Green Supplier Selection

2019 ◽  
Vol 2019 ◽  
pp. 1-11 ◽  
Author(s):  
Alptekin Ulutaş ◽  
Ayşe Topal ◽  
Rim Bakhat
Keyword(s):  
Supply Chains ◽  
Supplier Selection ◽  
Social Issues ◽  
Selection Index ◽  
Green Supplier Selection ◽  
The Third ◽  
Novel Method ◽  
Green Suppliers ◽  
Decision Making Model ◽  
Selection Of

“Sustainability” term has not only become increasingly important globally for individual companies, but also become important for whole supply chains. The selection of supplier is a significant decision for the sustainability of supply chains. Literature review revealed that supplier selection is made traditionally based on economic attributes which are insufficient for sustainability of supply chains as sustainability requires taking economic, environmental, and social issues into account. For this purpose, this paper proposes determining the green supplier selection attributes and then developing a methodology for assessment and ranking of green suppliers based on determined attributes. The first contribution of this study is to propose a novel method, which is FROV (fuzzy extension of range of value) to literature. The latter is to utilize fuzzy extension of preference selection index (FPSI) to identify the weights of attributes. The third is to develop a novel fuzzy multiattribute decision-making model consisting of FPSI and FROV to determine the best supplier for a Turkish textile company.

A risk-based integrated decision-making model for green supplier selection

Kybernetes ◽  
2019 ◽  
Vol 49 (4) ◽  
pp. 1229-1252 ◽  
Author(s):  
Morteza Yazdani ◽  
Prasenjit Chatterjee ◽  
Dragan Pamucar ◽  
Manuel Doval Abad
Keyword(s):  
Risk Factors ◽  
Decision Making ◽  
Supplier Selection ◽  
Potential Contribution ◽  
Effect Analysis ◽  
Content Type ◽  
Green Supplier Selection ◽  
Construction Company ◽  
Green Suppliers ◽  
Decision Making Model

Purpose Supply chain (SC) environment is surrounded by risk variables. This issue is regarded as an emerging and strategic problem which must be resolved by SC executives. The ability to measuring green supplier’s performance and affecting risk variables to demonstrating effective suppliers list has a potential contribution to be investigated. This paper aims to develop a decision-making model to assess green suppliers under legislation and risk factors. This leads to fewer disruptions in managing the SC and its impact to further improvement. It also presents research concepts forming a new approach for identification, prediction and understating relationship of supply risk. Design/methodology/approach At primal stage, different risk factors that influence green suppliers’ performance are indicated and their relationship is analyzed using decision-making trial and evaluation laboratory (DEMATEL) method. At the same time, failure mode and effect analysis is used to determine risk rating of each supplier. Finally, the evaluation based on distance from average solution (EDAS) method ranks suppliers and several comparisons and analysis are performed to test the stability of the results. The approaches include comparison to technique for order performance by similarity to ideal solution, multi-attributive border approximation area comparison, Vlse Kriterijumska Optimizacija I Kompromisno Resenje and complex proportional assessment methods, followed by analysis of rank reversal, weight sensitivity analysis and effect of dynamic metrics. Findings A real-time case study on green supplier selection (GSS) problem of a reputed construction company of Spain has been presented to demonstrate the practical aspects of the proposed method. In practice, though organizations are aware of various risks from local and global suppliers, it is difficult to incorporate these risk factors for ranking the suppliers. This real-case application shows the evaluation and incorporation of risk factors into the supplier selection model. Practical implications The proposed multi-criteria decision model quantitatively aids managers in selecting green suppliers considering risk factors. Originality/value A new model has been developed to present a sound mathematical model for solving GSS problems which considers the interaction between the supplier selection risk factors by proposing an integrated analytical approach for selecting green suppliers strategically consisting of DEMATEL, FMEA and EDAS methods.

Three-way group decisions under hesitant fuzzy linguistic environment for green supplier selection

Kybernetes ◽  
2020 ◽  
Vol 49 (12) ◽  
pp. 2919-2945 ◽  
Author(s):  
Weimin Ma ◽  
Wenjing Lei ◽  
Bingzhen Sun
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Group Decisions ◽  
Content Type ◽  
Green Supplier Selection ◽  
Strategic Role ◽  
Fuzzy Linguistic ◽  
Selection Of

Purpose The purpose of this paper is to propose a three-way group decision-making approach to address the selection of green supplier, by extending decision-theoretic rough set (DTRS) into hesitant fuzzy linguistic (HFL) environment, considering the flexible evaluation expression format of HFL term set (HFLTS) and the idea of minimum expected risk in DTRS. Design/methodology/approach Specifically, the authors first present the calculation method of the conditional probability and discuss the loss functions of DTRS with HFL element (HFLE), along with some associated properties being investigated in detail. Further, three-way group decisions rules can be deduced, followed by the cost of every green supplier candidate. Thus, based on these discussions, a novel green supplier selection DTRS model that combines multi-criteria group decision-making (MCGDM) and HFLTS is designed. Findings A numerical example of green supplier selection, the comparative analysis and associated discussions are conducted to illustrate the applicability and novelty of the presented model. Practical implications The selection of green supplier has played a critically strategic role in sustainable enterprise development due to continuous environmental concerns. This paper offers an insight for companies to select green supplier selection from the perspective of three-way group decisions. Originality/value This paper uses three-way decisions to address green supplier selection in the HFL context, which is considered as a MCGDM issue.

scholarly journals q-Rung Orthopair Fuzzy Prioritized Aggregation Operators and Their Application Towards Green Supplier Chain Management

Symmetry ◽  
2020 ◽  
Vol 12 (6) ◽  
pp. 976
Author(s):  
Muhammad Riaz ◽  
Dragan Pamucar ◽  
Hafiz Muhammad Athar Farid ◽  
Masooma Raza Hashmi
Keyword(s):  
Supplier Selection ◽  
Weighted Average ◽  
Sustainable Growth ◽  
Fuzzy Information ◽  
Chain Management ◽  
Green Supplier Selection ◽  
Scientific Decision ◽  
Green Suppliers ◽  
Prioritized Aggregation Operators ◽  
Relationship Of

Supply management and environmental concerns are becoming increasingly relevant to scientific decision analysis around the world. Several companies have implemented the green supply chain management (GSCM) approach for attaining economic advantages while retaining sustainable growth for the environment. Green supplier selection has also been analyzed in many literary works as an important part of GSCM, which is considered an important multi-criteria group decision making (MCGDM) problem. The lack of consideration of the relationships of alternatives to the uncertain environment will be the main reason for weak conclusions in some MCGDM problems. To address these drawbacks, we introduce a new approach for selecting green suppliers with the q-rung orthopair fuzzy information, in which the input assessment is considered by using q-rung orthopair fuzzy numbers (q-ROFNs). A q-ROFN is extremely valuable in representing vague information that occurs in these real-world circumstances. The priority relationship of the alternatives to q-rung orthopair fuzzy information is very helpful to deal with GSCM. Consequently, we develop some prioritized operators with q-ROFNs named the q-rung orthopair fuzzy prioritized weighted average (q-ROFPWA) operator and q-rung orthopair fuzzy prioritized weighted geometric (q-ROFPWG) operator. Several important characteristics of these operators such as idempotents, boundary, and monotonicity are also well proven. Finally, an application of the proposed operators is presented for green supplier selection in GSCM. The scientific nature of the proposed methodology is illustrated by a numerical example to validate its rationality, symmetry, and superiority.

scholarly journals GREEN SUPPLER SELECTION BY AN INTEGRATED METHOD WITH STOCHASTIC ACCEPTABILITY ANALYSIS AND MULTIMOORA

2020 ◽  
Vol 26 (3) ◽  
pp. 549-572
Author(s):  
Xiaomei Mi ◽  
Huchang Liao ◽  
Yi Liao ◽  
Qi Lin ◽  
Benjamin Lev ◽  
...  
Keyword(s):  
Supplier Selection ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Uncertain Information ◽  
Integrated Method ◽  
Selection For ◽  
Green Suppliers ◽  
Multimoora Method ◽  
Selection Of

In the process of supplier selection for green supply chain management, uncertain information may appear in alternatives’ performances or experts’ preferences. The stochastic multicriteria acceptability analysis (SMAA) is a beneficial technique to tackling the uncertain information in such a problem and the MULTIMOORA is a robust technique to aggregate alternatives’ utilities. This study dedicates to proposing an SMAA-MULTIMOORA method by considering the advantages of both methods. The integrated method can accept uncertain information as inputs. The steps of the SMAA-MULTIMOORA are illustrated. A case study about the selection of green suppliers is given to show the validity and robustness of the SMAA-MULTIMOORA method.

QUALIFLEX method for MAGDM with probabilistic uncertain linguistic information and its application to green supplier selection

2020 ◽  
Vol 39 (5) ◽  
pp. 6819-6831
Author(s):  
Fan Lei ◽  
Guiwu Wei ◽  
Jiang Wu ◽  
Cun Wei ◽  
Yanfeng Guo
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Supplier Selection ◽  
Group Decision ◽  
Linguistic Information ◽  
Suitable Alternative ◽  
Green Supplier Selection ◽  
Multiple Attribute ◽  
Selection Of

Probabilistic uncertain linguistic sets (PULTSs) have extensively been employed in multiple attribute group decision making (MAGDM)problem. The QUALIFLEX method, which is relatively a novel MAGDM technique, aims to obtain the optimal alternative. This paper proposes the probabilistic uncertain linguistic QUALIFLEX (PUL-QUALIFLEX) method with CRITIC method. To show the effectiveness of the designed method, an application is given for green supplier selection and the derived results are compared with some existing methods. Thus, the advantage of this proposed method is that it is simple to understand and easy to compute. The proposed method can also contribute to the selection of suitable alternative successfully in other selection issues.

Rough MCDM model for green supplier selection in Iran: a case of university construction project

2020 ◽  
Vol 10 (3) ◽  
pp. 437-452 ◽  
Author(s):  
Payam Shojaei ◽  
Ana bolvardizadeh
Keyword(s):  
Construction Industry ◽  
Supplier Selection ◽  
Construction Projects ◽  
Rough Set Theory ◽  
Multicriteria Decision Making ◽  
Environmental Management System ◽  
State Universities ◽  
Content Type ◽  
Green Supplier Selection ◽  
Green Suppliers

PurposeThe construction industry has a significant function in improving the quality of life in the urban environment; meanwhile, greening the supply chain is becoming a seriously pressing issue in the construction industry. This paper seeks to select green suppliers in construction projects implemented at Iranian state universities via multicriteria decision-making (MCDM) models through rough set theory.Design/methodology/approachA mixed methodology design was conducted through a literature review of studies concerned with green suppliers to identify the related criteria and the rough MCDM techniques. As such, 15 criteria were finalized through content validity ratio (introduced by Lawshe, 1975). The weights of the criteria were calculated through the rough AHP and the suppliers were prioritized using the rough TOPSIS to contribute to the Construction Department.FindingsThe study proposed a hierarchical structure of the decision process for green supplier selection in construction projects. According to the weighting results, environmental awareness, green social responsibility and the environmental management system were the most important criteria.Research limitations/implicationsBecause the scope of the study was limited to state universities and the methods worked according to the experts' views, the results should be generalized with more caution. The validity of the results should be examined by applying the model to similar contexts.Originality/valueThe study conceptualizes green supplier selection in construction projects at state universities. Furthermore, the method used makes it possible to deal with the uncertainty arising from experts' limited awareness of only part of the problem rather than the whole system under investigation.

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