scholarly journals An Integrated DEMATEL and AHP approach Multi Criteria Green Supplier Selection Process for Public Procurement

2017 ◽  
Vol 9 (1) ◽  
pp. 113-124 ◽  
Author(s):  
Etraj P. ◽  
Jayaprakash J.
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Public Procurement ◽  
Green Supplier Selection

scholarly journals Green supplier selection using fuzzy Delphi method for developing sustainable supply chain

2021 ◽  
pp. 63-70
Author(s):  
Nejah Ben Mabrouk
Keyword(s):  
Delphi Method ◽  
Supplier Selection ◽  
Expert Knowledge ◽  
Selection Process ◽  
Numerical Data ◽  
Future Research ◽  
Sustainable Supply Chain ◽  
Green Supplier Selection ◽  
Fuzzy Delphi ◽  
Green Packaging

The objective of this paper is to examine the determinants of the supplier selection process with green consideration. Thus, this analysis gathers a collection of factors from established literature of green supplier selection (GSS), including seven categories and 58 attributes. The objective of this research is to classify the key factors which are presented as qualitative information. Fuzzy logic rules are used to transform qualitative expert knowledge into numerical data. Then, we adopt the Delphi method (DM) to filter and rate unneeded factors according to their relevance. The results indicate 24 important factors for the GSS process. Five categories are included: Performance and technology ability, Environmental management, Pollution control, Quality and Service. The most significant factors are recognized as green research and development, eco-design, green image, green packaging and remanufacturing. Finally, the debate is held on the basis of the findings and future research are also recognized and stated.

scholarly journals Green Supplier Selection in the Agro-Food Industry with Contract Farming: A Multi-Objective Optimization Approach

2019 ◽  
Vol 11 (24) ◽  
pp. 7017 ◽  
Author(s):  
Marco A. Miranda-Ackerman ◽  
Catherine Azzaro-Pantel ◽  
Alberto A. Aguilar-Lasserre ◽  
Alfredo Bueno-Solano ◽  
Karina C. Arredondo-Soto
Keyword(s):  
Environmental Impact ◽  
Supplier Selection ◽  
Selection Process ◽  
Environmental Benefits ◽  
Raw Material ◽  
Optimization Approach ◽  
Multi Objective Optimization ◽  
Contract Farming ◽  
Green Supplier Selection ◽  
Multi Objective

An important contribution to the environmental impact of agro-food supply chains is related to the agricultural technology and practices used in the fields during raw material production. This problem can be framed from the point of view of the Focal Company (FC) as a raw material Green Supplier Selection Problem (GSSP). This paper describes an extension of the GSSP methodology that integrates life cycle assessment, environmental collaborations, and contract farming in order to gain social and environmental benefits. In this approach, risk and gains are shared by both parties, as well as information related to agricultural practices through which the FC can optimize global performance by deciding which suppliers to contract, capacity and which practices to use at each supplying field in order to optimize economic performance and environmental impact. The FC provides the knowledge and technology needed by the supplier to reach these objectives via a contract farming scheme. A case study is developed in order to illustrate and a step-by-step methodology is described. A multi-objective optimization strategy based on Genetic Algorithms linked to a MCDM approach to the solution selection step is proposed. Scenarios of optimization of the selection process are studied to demonstrate the potential improvement gains in performance.

scholarly journals A Fuzzy MCDM Approach for Green Supplier Selection from the Economic and Environmental Aspects

2016 ◽  
Vol 2016 ◽  
pp. 1-10 ◽  
Author(s):  
Hsiu Mei Wang Chen ◽  
Shuo-Yan Chou ◽  
Quoc Dat Luu ◽  
Tiffany Hui-Kuang Yu
Keyword(s):  
Environmental Sustainability ◽  
Supplier Selection ◽  
Selection Process ◽  
Public Awareness ◽  
Multicriteria Decision Making ◽  
Environmental Issues ◽  
Analytic Hierarchy ◽  
Green Supplier Selection ◽  
Environmental Criteria ◽  
Hierarchy Process

Due to the challenge of rising public awareness of environmental issues and governmental regulations, green supply chain management (SCM) has become an important issue for companies to gain environmental sustainability. Supplier selection is one of the key operational tasks necessary to construct a green SCM. To select the most suitable suppliers, many economic and environmental criteria must be considered in the decision process. Although numerous studies have used economic criteria such as cost, quality, and lead time in the supplier selection process, only some studies have taken into account the environmental issues. This study proposes a comprehensive fuzzy multicriteria decision making (MCDM) approach for green supplier selection and evaluation, using both economic and environmental criteria. In the proposed approach, a fuzzy analytic hierarchy process (AHP) is employed to determine the important weights of criteria under vague environment. In addition, a fuzzy technique for order performance by similarity to ideal solution (TOPSIS) is used to evaluate and rank the potential suppliers. Finally, a case study in Luminance Enhancement Film (LEF) industry is presented to illustrate the applicability and efficiency of the proposed method.

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

2019 ◽  
Vol 26 (8) ◽  
pp. 1712-1734 ◽  
Author(s):  
Ru Liang ◽  
Heap-Yih Chong
Keyword(s):  
Decision Making ◽  
Supplier Selection ◽  
Decision Model ◽  
Group Decision ◽  
Selection Process ◽  
Fuzzy Decision ◽  
Decision Matrix ◽  
Complex Situation ◽  
Content Type ◽  
Green Supplier Selection

Purpose Green supplier selection is one of the crucial activities in green supply chain management. However, limited studies have addressed the vagueness and complexities during the selection process, particularly in multi-criterion decision-making (MCDM) circumstances. Hence, the purpose of this paper is to develop a group decision model using a modified fuzzy MCDM approach for green supplier selection under a complex situation. Design/methodology/approach The proposed study develops a framework for sorting decisions in green supplier selection by using the hesitant fuzzy qualitative flexible multiple attributes method (QUALIFLEX). The synthetic consistent or inconsistent indexes were used to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix. Findings The proposed framework has been successfully applied and illustrated in the case example of CB02 contract section in Hong Kong–Zhuhai–Macau Bridge project. The results show various complicated decision-making scenarios can be addressed through the proposed approach. The synthetic (in)consistent indexes are able to calculate all alternative suppliers by normalizing the hesitant fuzzy decision matrix. Originality/value The research contributes to improving accuracy and reliability decision-making processes for green supplier selection, especially under vagueness and complex situations in megaprojects.

scholarly journals INTEGRATED FAHP, ARAS-F AND MSGP METHODS FOR GREEN SUPPLIER EVALUATION AND SELECTION

2015 ◽  
Vol 22 (5) ◽  
pp. 651-669 ◽  
Author(s):  
Chin-Nung LIAO ◽  
Yan-Kai FU ◽  
Li-Chun WU
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Multiple Criteria Decision Making ◽  
Decision Makers ◽  
Analytic Hierarchy ◽  
Green Supplier Selection ◽  
Selection Problems ◽  
Aspiration Levels ◽  
Fuzzy Techniques ◽  
Hierarchy Process

In recent years, determining the best supplier in the green supply chain has become a key strategic task for a firm. Since the decision usually involves several objectives or criteria, the green supplier selection process is a fuzzy multiple criteria decision-making (FMCDM) problem. Considering both qualitative and quantitative criteria, this study proposes new integrated fuzzy techniques for fuzzy analytic hierarchy process (FAHP), fuzzy additive ratio assessment (ARASF) and multi-segment goal programming (MSGP) approach to solve the green supplier selection problems. The advantage of this method is that it allows decision makers to set multiple segment aspiration levels for green supplier selection problems. The integrated model is illustrated by an example in a watch firm.

scholarly journals A CLOUD TOPSIS MODEL FOR GREEN SUPPLIER SELECTION

2020 ◽  
Vol 18 (3) ◽  
pp. 375 ◽  
Author(s):  
Krishnapuram Ravi Ramakrishnan ◽  
Shankar Chakraborty
Keyword(s):  
Supplier Selection ◽  
Selection Process ◽  
Cloud Model ◽  
Evaluation Criteria ◽  
Human Cognition ◽  
Green Supplier Selection ◽  
Adopted Model ◽  
Qualitative Attribute ◽  
Green Suppliers ◽  
Topsis Model

Due to stringent governmental regulations and increasing consciousness of the customers, the present day manufacturing organizations are continuously striving to engage green suppliers in their supply chain management systems. Selection of the most efficient green supplier is now not only dependant on the conventional evaluation criteria but it also includes various other sustainable parameters. This selection process has already been identified as a typical multi-criteria group decision-making task involving subjective judgments of different participating experts. In this paper, a green supplier selection problem for an automobile industry is solved while integrating the Cloud model with the technique for order of preference by similarity to an ideal solution (TOPSIS). The adopted method is capable of dealing with both fuzziness and randomness present in the human cognition process while appraising performance of the alternative green suppliers with respect to various evaluation criteria. This model identifies green supplier S4 as the best choice. The derived ranking results using the adopted model closely match with those obtained from other variants of the TOPSIS method. The Cloud model can efficiently take into account both fuzziness and randomness in a qualitative attribute, and effectively reconstruct the qualitative attribute into the corresponding quantitative score for effective evaluation and appraisal of the considered green suppliers. Comparison of the derived ranking results with other MCDM techniques proves applicability, potentiality and solution accuracy of the Cloud TOPSIS model for the green supplier selection.

scholarly journals Green Supplier Selection Based on Consensus Process and Integrating Prioritized Operator and Choquet Integral

2018 ◽  
Vol 10 (8) ◽  
pp. 2744 ◽  
Author(s):  
Jianghong Zhu ◽  
Yanlai Li
Keyword(s):  
Supplier Selection ◽  
Group Decision ◽  
Choquet Integral ◽  
Selection Process ◽  
Consensus Process ◽  
Decision Matrix ◽  
Green Supplier Selection ◽  
Ranking Order ◽  
Green Suppliers ◽  
Fuzzy Linguistic

Green supplier selection, as a core part of green supply chain management, has attracted the attention of various researchers in the past decade. Plenty of green supplier selection methods based on multi-criteria group decision-making have been presented in previous literature. However, these approaches ignore the consensus level between the experts, and they rarely consider the priority level among the experts and the interdependent relationship between criteria. To handle these issues, an integrated framework of green supplier selection under the hesitant fuzzy linguistic (HFL) environment was established. In this framework, the preference information expressed by HFL was transformed into the hesitant 2-tuple linguistic (H2TL). Then, the consensus process was introduced into the green supplier selection process to increase the consensus level between experts. The H2TL prioritized operator and Choquet integral operator were respectively applied to construct the group decision matrix and derive the ranking order of green suppliers. Finally, we used a numerical example to demonstrate the validity and applicability of the presented framework and implemented a comparative analysis to highlight the features of the presented method.

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.

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