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

Abstract

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.

[Retracted] Fuzzy Neural Network‐Based Evaluation Algorithm for Ice and Snow Tourism Competitiveness

“…Ice and snow tourism development emphasize the protection of ice and snow tourism resources while maximizing economic benefits, while also developing and holding a variety of ice and snow tourism projects and activities, which will bring the development of ice and snow tourism to its fullest potential. Playing economic benefits at the same time, the full use of ice and snow tourism resources will inevitably reduce the abundance of ice and snow resources, the resource environment to produce huge pressure, resulting in a certain number of tourist trips down, which is a negative feedback mechanism [21]. On the other hand, the resource subsystem continuously absorbs the white waste generated during travel, leading to the destruction of the ecological environment, affecting the travel experience of tourists, and reducing the number of tourist arrivals, which is also a negative feedback mechanism.…”

Hospital Location Selection: A Systematic Literature Review on Methodologies and Applications

“…A PRISMA framework is frequently used in the literature [16][17][18][19][20][21][22][23] which is followed as the review methodology of this study. e referenced review studies have considered the following issues in designing their review frameworks: (1) search strategy, (2) inclusion-exclusion criteria, (3) study selection, and (4) data extraction and classification.…”

Evaluation of Logistic Flows in Green Supply Chains Based on the Combined Dematel-Anp Method

“…This approach reduces the productivity of green technologies and does not effectively achieve sustainable development goals. Environmental issues related to supplier-buyer relationships, environmental decisions, certification, and environmental quality standards [13], [57][58][59][60][61][62][63][64][65] Manufacturing Problems of design, development, and production of ecological products to reduce harmful emissions and waste [66][67][68][69][70] Green logistics Environmental issues related to the sustainable transportation, handling and storage of hazardous materials, inventory management, warehousing, the choice of locations for transport and logistics infrastructure, the use of packaging [11], [70][71][72][73][74][75][76] Reverse logistics Problems of separation of reverse flows (material flows from consumers to sources) into recyclable and waste [14], [77][78][79]…”

“…A literature review [9] showed an increase in the number of MCDM-related publications over the past ten years. MCDMs are actively used to solve various problems in the field of climate change [10], sustainable engineering [9], green logistics [11], GSCM [12,13], reverse logistics [14]. However, the selection of the appropriate MCDM method for a specific situation requires additional research [15].…”