A Study on Green Supplier Selection in Dynamic Environment

Song, Wei; Chen, Zhiya; Liu, Aijun; Zhu, Qiuyun; Zhao, Wei; Tsai, Sang‐Bing; Lu, Hongguang

doi:10.3390/su10041226

Cited by 19 publications

(12 citation statements)

References 67 publications

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“…Further, a method combining AHP and entropy theory is proposed to measure the importance of evaluation criteria. An integrated decision framework based on the third-generation prospect theory was given in [122] for sustainable supplier selection under heterogeneous information environment. e fuzzy axiomatic design approach was used by Guo et al [123] to address the green supplier selection problem in apparel manufacturing, by Kannan et al [124] to select the best green supplier for an engineering plastic material manufacturer, and combined with the fuzzy AHP by Büyüközkan [125] to evaluate green supplier alternatives for a Turkish automotive company.…”

Section: Value and Utility Methodsmentioning

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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Section: Value and Utility 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

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“…Song et al [26] utilize prospect theory to analyze the manufacturer's psychological and behavioral factors during an environmentally friendly supplier. Song et al [27] illustrate green supplier selection in a dynamic environment by using third-generation prospect theory (PT3) to examine psychological and behavioral factors of the manufacturers, and at the same time creating gain and loss matrix to assign the weight of each relevant factor. Qin et al [28] research a new distance based on the fuzzy logic and α-cuts of the IT2FSs and extend the novel TODIM method by integrating prospect theory application to solve green supplier selection issues.…”

Section: Literature Reviewmentioning

confidence: 99%

“…The gain and loss value of each alternative is calculated by using Equations (27) and (28), respectively and presented as follows: The integrated prospect values of the alternative, as well as the rankings are based on Equation 4and the obtained weights of criteria regarding fuzzy DEMATEL-ANP are shown in Table 10. The prospect theory weights are calculated and shown as follows: π + (w j ) = {0.511, 0.001, 0.112, 0.135, 0.004, 0.456, 0.063, 0.000, 0.02, 0.050, 0.213, 0.069, 0.141, 0.000} π − (w j ) = −0.105, −0.330, 0.000, −0.223, 0.000, 0.000, −0.431, −0.311, 0.000, −0.009, 0.000, −0.009, 0.000, −0.142, −0.100 Table 10.…”

Section: Corresponding Tfnsmentioning

confidence: 99%

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Phochanikorn

Tan

2019

Sustainability

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Environmental concerns have globally driven the encouragement of green supply chain management. Accordingly, business and industrial organizations try to seek green supply chain strategies to respond to market pressure regarding corporate social responsibility. Green supplier selection is one of the practical strategies for modern enterprises. With the large-scale development of the palm oil products industry, green supplier selection technique is the key for decision making when dealing with mass information and possible risks of biased data. For instance, the preference of decision makers possibly causes a misleading decision, thus leading to unnecessary waste of resources. Therefore, the contribution of this paper is to apply the integrated multi-criteria decision method using the ‘fuzzy decision-making trial and evaluation laboratory’ (fuzzy DEMATEL) method to consider the cause and effect relationship and then using fuzzy analytic network process (fuzzy ANP) to assign the weight of each relevant criteria. The initial results are useful for strategic procurement planning. In the final step, we adopt the prospect theory to synthesize procurement’s psychological and behavioral factors when selecting green suppliers. The final result refers to the comprehensive prospect value to rank the eligible suppliers into orders. Moreover, the results of both sensitivity analysis and comparison method confirm that the proposed model is adequately realistic and robust.

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“…In this sense, proposals have been developed to design supply chains called Lean Green [11,12]. In [13] Song et. al., purposed a novel method for selecting a green supplier in a dynamic environment.…”

Section: Introductionmentioning

confidence: 99%

Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios

Jiménez¹,

Hernández²,

Ruelas³

et al. 2019

Preprint

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This article aims to serve as a guide for the construction of supply chain simulation models designed with a lean approach, using Promodel software. To achieve this, a supply chain was designed for a fictitious company located in the City of Celaya, Guanajuato and a set of suppliers located in different cities within the same State. It was used as a google tool to define the distances between each of the companies. As a final result, a representative model of a supply chain was obtained, as well as a methodology that allows the construction of lean supply chains regardless of the number of companies that comprise it. The effect of the variability in the delivery times between suppliers was incorporated into the simulation model, as well as an equation that calculates the pollution emissions of the vehicles that integrate the network that moves the products between the companies. With this work it is possible to represent networks of supply chains of real world companies, where the variability and contamination factor is included, to facilitate the decision making regarding the number of vehicles, inventory levels, quantities to be shipped, frequency in the shipments, etc. with the purpose of contaminating as little as possible and at the same time preventing interruptions in the supply chain using the least amount of resources possible.

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A Study on Green Supplier Selection in Dynamic Environment

Cited by 19 publications

References 67 publications

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

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

An Integrated Multi-Criteria Decision-Making Model Based on Prospect Theory for Green Supplier Selection under Uncertain Environment: A Case Study of the Thailand Palm Oil Products Industry

Methodology to Analyze the Productive and Environmental Performance of a Supply Chain through Simulation Scenarios

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