A hybrid group decision model for green supplier selection: a case study of megaprojects

Liang, Ru; Chong, Heap‐Yih

doi:10.1108/ecam-10-2018-0462

Cited by 44 publications

(25 citation statements)

References 61 publications

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“…They used an extended version of the TOPSIS method to rank the suppliers. Liang and Chong (2019) utilized hesitant fuzzy qualitative flexible multiple attributes (Qualiflex) method for green supplier selection problem in the megaprojects. They believe that their proposed approach is reliable under uncertainty conditions.…”

Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

et al. 2020

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Due to mounting environmental and social challenges, supplier selection has become one of the most critical tasks of project‐oriented organizations. Because supplier selection can affect the long‐term success and profitability of the organizations and their projects, directly, embracing sustainability can add value in the equation. Considering sustainability measures can positively guide project managers in making better decisions for the projects in the long term. Therefore, the current study attempts to provide a conceptual model for selecting the best supplier based on a sustainability framework in megaprojects. Meanwhile, decision‐making methods can be employed as a proper tool to find the best supplier. Ordinal priority approach (OPA) is a recent development in multiple criteria decision making (MCDM), while it has many benefits compared with other methods like analytic hierarchy process (AHP) and technique for order of preference by similarity to ideal solution (TOPSIS). However, this method cannot consider multiple ranks during the decision‐making process, and using an uncertainty approach feels strongly. Grey systems theory (GST) can consider uncertainties with no need for large sample or proposing membership function. Hence, the current study employed the GST to consider multiple ranks for criteria and alternatives in the OPA method. This is the first time that a sustainable supplier selection framework has been presented for megaprojects with the aid of the Grey OPA (OPA‐G) method. Finally, a case study has been examined to evaluate the performance of the proposed approach. The results show that the proposed approach can be used in real‐world situations and it has acceptable performance under uncertainty conditions.

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Section: Literature Reviewmentioning

confidence: 99%

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

et al. 2020

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“…In the future, the proposed method can be expanded to deal with other decision-making issues [39,40,41,42,43], such as the selection of green suppliers [44,45,46,47,48,49,50], the location of waste disposal stations, and so on, and the developed approaches can also be extended to further unpredictable and uncertain information. Further studies could also aim at applying different distance measures in the decision making issues and the Monte Carlo simulations could also be carried out in order to identify the best performing settings.…”

Section: Discussionmentioning

confidence: 99%

Pythagorean 2-Tuple Linguistic Taxonomy Method for Supplier Selection in Medical Instrument Industries

Wei

et al. 2019

IJERPH

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Supplier selection in medical instrument industries is a classical multiple attribute group decision making (MAGDM) problem. The Pythagorean 2-tuple linguistic sets (P2TLSs) can reflect uncertain or fuzzy information well and solve the supplier selection in medical instrument industries, and the original Taxonomy is very appropriate for comparing different alternatives with respect to their advantages from studied attributes. In this study, we present an algorithm that combines Pythagorean 2-tuple linguistic numbers (P2TLNs) with the Taxonomy method, where P2TLNs are applied to express the evaluation of decision makers on alternatives. Relying on the Pythagorean 2-tuple linguistic weighted average (P2TLWA) operator or Pythagorean 2-tuple linguistic weighted geometric (P2TLWG) operator to fuse P2TLNs, the new general framework is established for Pythagorean 2-tuple linguistic multiple attribute group decision making (MAGDM) under the classical Taxonomy method. Ultimately, an application case for supplier selection in medical instrument industries is designed to test the novel method’s applicability and practicality and a comparative analysis with three other methods is used to elaborate further.

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“…Wan et al [76] presented a hesitant fuzzy PROMETHEE method for green supplier selection, in which an entropybased nonlinear programming model was built to determine criteria weights. e hesitant fuzzy QUALIFLEX method was proposed by Liang and Chong [77] for green supplier selection in the Hong Kong-Zhuhai-Macau bridge project. e probability hesitant fuzzy QUALIFLEX model was suggested by Li and Wang [78] for selecting green suppliers in an automobile manufacturing company.…”

Section: Outranking Methodsmentioning

confidence: 99%

“…Green manufacturing [17,19,23,31,37,43,49,51,52,66,77,79,85,95,117,124,125,132,133,141,143,151,157,173,175,176,184,189,191,197] 30 Green packing and labeling [19, 21, 27, 30, 32, 51, 52, 58, 72-74, 77, 79, 85, 112, 124, 135, 146, 152, 168, 181, 195] 22 Green certifications [20, 25, 30, 32, 33, 42, 43, 55, 77, 81, 85, 99, 113, 118, 124, 136, 138, 139, 146, 151, 152, 161-163, 174, 175, 189, 191, 195, 204] 30 Green logistics …”

Section: Green Competenciesmentioning

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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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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A hybrid group decision model for green supplier selection: a case study of megaprojects

Cited by 44 publications

References 61 publications

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

Sustainable Supplier Selection in Megaprojects: Grey Ordinal Priority Approach

Pythagorean 2-Tuple Linguistic Taxonomy Method for Supplier Selection in Medical Instrument Industries

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

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