Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information

Lin, Kuo-Ping; Hung, Kuo-Chen; Lin, Yu‐Ting; Hsieh, Yao-Hung

doi:10.3390/su10010005

Cited by 16 publications

(14 citation statements)

References 42 publications

(47 reference statements)

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“…Ho et al [41] concluded that the most common criteria of supplier selection decision-making processes were quality, cost, management, technology, and flexibility. Kuo-Ping Lin et al [42] built a supplier selection process based on six main criteria. Peng Jia et al [43] have pointed out in the literature review that the framework has developed including economic, environmental, and social sustainability criteria.…”

Section: Application Of Mcdm Methods In Supplier Selection Processesmentioning

confidence: 99%

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

et al. 2021

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Choosing a supplier is a complex decision-making process that can reduce the total cost of production inputs and increase profits without increasing the price or sacrificing product quality. However, supplier selection processes usually involve multiple quantitative and qualitative criteria which increase the complexity of the problem and may decrease the accuracy and effectiveness of the process. Such complex decision-making problems can be supported by using multicriteria decision-making (MCDM) models. While there have been multiple MCDM models to support supplier selection processes in different industries and sectors, only a few are developed to support the supplier selection processes in the garment industry, especially under uncertain decision-making environment. This paper presents an integrated mathematical model under a fuzzy environment and applies it to the supplier selection process in the garment industry. In this research, the authors utilize the Buckley extension based fuzzy Analytical Hierarchical Process (FAHP) method in combination with linear normalization based fuzzy Grey Relational Analysis (F-GRA) method to develop a MCDM approach to the supplier selection process under a fuzzy environment. As a result, supplier 08 (SA08) is the optimal supplier. The contribution of this work is to propose an MCDM model for ranking potential suppliers in the garment industry under a fuzzy environment. The proposed approach can also be applied to support complex decision-making processes under a fuzzy environment in different industries.

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Section: Application Of Mcdm Methods In Supplier Selection Processesmentioning

confidence: 99%

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

et al. 2021

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“…Liu et al [149] investigated the green supplier selection problem by combining QFD with partitioned Bonferroni mean operator in the context of interval type-2 fuzzy environment. In addition, the fuzzy weighted average operator [152], the 2-tuple ordered weighted averaging (TOWA) operator [153], the hesitant fuzzy Hamacher power weighted average (HFHPWA) operator [150], the interval-valued intuitionistic fuzzy geometric weighted Heronian means (IVIFGWHM) operator [151], and the single-valued triangular neutrosophic Dombi prioritized normalized Bonferroni mean (SVTNDPNBM) operator [154] have been employed for evaluation and selection of the best supplier in green supply chain management.…”

Section: Aggregation Operator-based Methodsmentioning

confidence: 99%

“…Technology level [23,27,46,74,81,98,99,110,120,123,124,135,143,148,149,152,169,175,180,189,191,199,204,208]…”

mentioning

confidence: 99%

“…Resource consumption [21, 26, 28, 33, 35, 38, 41, 48, 50, 54, 57, 59, 63, 75, 77, 78, 81-85, 90, 102, 106, 110, 113, 115, 118, 123, 130-135, 139, 140, 143, 144, 152, 153, 157, 159, 160, 163, 165, 169, 170, 173, 180, 192, 199, 202, 204] 53 Use of environmentally friendly technology [18,26,30,48,61,77,78,81,91,112,115,124,126,127,131,134,146,147,152,164,170,181,193,211] 24 Use of environmentally friendly materials [18,26,28,30,32,50,58,60,…”

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confidence: 99%

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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

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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.

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“…Deng et at. [11] developed multiple attribute decision making (MADM) with some 2-tuple linguistic Pythagorean fuzzy Hamy mean operators. Wang et al [12] developed an MADM model with interval-valued 2-tuple linguistic Pythagorean fuzzy information.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry

et al. 2018

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Today, business organizations are facing increasing pressure from a variety of sources to operate using sustainable processes. Thus, most companies need to focus on their supply chains to enhance sustainability to meet customer demands and comply with environmental legislation. To achieve these goals, companies must focus on criteria that include CO2 (carbon footprint) and toxic emissions, energy use and efficiency, wastage generations, and worker health and safety. As in other industries, the food processing industry requires large inputs of resources, which results in several negative environmental effects; thus, decision-makers have to evaluate qualitative and quantitative factors. This work identifies the best supplier for edible oil production in the small and medium enterprise (SME) food processing industry in Vietnam. This study also processes a hybrid multicriteria decision-making (MCDM) model using a fuzzy analytical hierarchy process (FAHP) and green data envelopment analysis (GDEA) model to identify the weight of all criteria of a supplier’s selection process based on opinions from company procurement experts. Subsequently, GDEA is applied to rank all potential supplier lists. The primary objective of this work is to present a novel approach which integrates FAHP and DEA for supplier selection and also consider the green issue in edible oil production in uncertain environments. The aim of this research is also to provide a useful guideline for supplier selection based on qualitative and quantitative factors to improve the efficiency of supplier selection in the food industry and other industries. The results reveal that Decision-Making Unit 1 (DMU 1), DMU 3, DMU 7, and DMU 9 are identified as extremely efficient for five DEA models, which are the optimal suppliers for edible oil production. The contributions of this research include a proposed MCDM model using a hybrid FAHP and GDEA model for supplier selection in the SME food processing industry under a fuzzy environment conditions in Vietnam. This research also is part of an evolution of a new hybrid model that is flexible and practical for decision-makers. In addition, the research also provides a useful guideline in supplier selection in the food processing industry and a guideline for supplier selection in other industries.

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Green Suppliers Performance Evaluation in Belt and Road Using Fuzzy Weighted Average with Social Media Information

Cited by 16 publications

References 42 publications

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

Fuzzy Optimization Model for Decision-Making in Supply Chain Management

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

Sustainable Supplier Selection Process in Edible Oil Production by a Hybrid Fuzzy Analytical Hierarchy Process and Green Data Envelopment Analysis for the SMEs Food Processing Industry

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