Evaluation of Green Supply Chain Management Strategies Using Fuzzy AHP and TOPSIS

Muralidhar, P

doi:10.9790/3021-0204824830

Cited by 14 publications

(6 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Toke et al (2012) determined rank, interactions, and weight of critical success factors (CSFs) of the GSCM in the Indian manufacturing sector. Muralidhar et al (2012) presented a new decision making approach for group multi-criteria evaluation for GSCM strategies, which clubs green procurement, manufacturing, green service to customer and environmental management process with order allocation for dynamic supply chains to cope market variations. Choudhary (2011) developed the relationships among GSC performance measurement criteria using AHP.…”

Section: Literature Reviewmentioning

confidence: 99%

ANP-MOORA-based approach for the analysis of selected issues of green supply chain management

Chand

Bhatia

Singh

2018

BIJ

View full text Add to dashboard Cite

Purpose Industries start focusing on the green concept in supply chain management (SCM) to reduce waste and emission, preserve the quality of natural resources and decrease the consumption of hazardous/harmful materials for better product life cycle, which not only improve environmental performance but also economic performance. But, for industries, it is still very difficult to understand and analyze the effect of individual activities and their corresponding contribution. The purpose of this paper is to identify and analyze selected issues in green supply chain management for the implementation of the green concept in industries. Design/methodology/approach To fulfill the objectives of this paper, analytical network process-multi-objective optimization using rational analysis (ANP-MOORA) techniques are used. In the proposed methodologies, different issues, sub-issues, and alternatives are identified for the selection of the best supply chain using ANP which is being followed by the MOORA method. Findings Findings of this paper are highly valuable for the Indian manufacturing industries for the management of green supply chain (GSC) issues. Research limitations/implications In this research, only selected issues are identified and analyzed for the management of GSCs. Further, it is believed that an ANP-based framework helps to take up the explicit account of multi-criteria decision making (MCDM) approaches in decision making and for improving and selecting the best supply chain. Other issues in GSC can be analyzed and further extended by other MCDM approaches. Originality/value This paper identified different type of supply chains and their issues. The systematic way of analyzing the green concept in supply chain helps the researchers and managers to implement green management practices for improving economic and environmental performance.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

ANP-MOORA-based approach for the analysis of selected issues of green supply chain management

Chand

Bhatia

Singh

2018

BIJ

View full text Add to dashboard Cite

show abstract

“…As seen, despite the fact that studies which applied on AHP models are mostly in the majority, in the green supply chain literature, GSCM practices can be often investigated differently by many different multi-criteria decision-making techniques such as TOPSIS, VIKOR, DEMATEL among researchers. For instance, Muralidhar et al [27] have applied TOPSIS and fuzzy AHP together to evaluate various green supply chain management strategies, which are composed of green procurement, manufacturing, green service to customers and environmental management process. Akman and Piskin [28] have integrated Analytical Network Process (ANP) and TOPSIS to assess GSCM practices performance of 18 green suppliers by utilizing main criteria such as pollution control, environment management system, green products, environmental collaboration and environmental competency.…”

Section: Green Supply Chain Managementmentioning

confidence: 99%

An Intuitionistic Fuzzy Group Decision-Making to Measure the Performance of Green Supply Chain Management with TOPSIS Method

Bulğurcu¹

2018

Multi-Criteria Methods and Techniques Applied to Supply Chain Management

View full text Add to dashboard Cite

Green supply chain management (GSCM) integrates environmental regulations into supply chain management to diminish the negative effects of supply chain processes on the environment. The environmental problems appeared by an enterprise arise from designing the product and last until the recycling process. GSCM activities include five drivers such as green design, green purchasing, green transformation, green logistics and reverse logistics. In this chapter, the main aim is to explain these drivers and to show how to measure the GSCM success of companies, which operate as tire manufacturers by using an evaluation of a group of experts in their field. The proposed method, intuitionistic fuzzy technique for order preference by similarity to an ideal solution as an effective group decision-making method, helped to identify the alternative company 1 with the best GSCM performance among six different alternative tire companies under the consideration of five important GSCM drivers. The ranking result was as follows: A1 > A3 > A4 > A2 > A6 > A5.

show abstract

“…Moreover, the performance measurement for GSCM is introduced by Hervani et al ( 2005 ), while the ranking of those performance measures towards sustainability is provided by Garg et al ( 2014 ), using AHP method. Fuzzy AHP and TOPSIS methodologies have been widely used in many contributions, as example, Muralidhar et al ( 2012 ) for the evaluation of GSCM strategies, and then by Patil and Kant ( 2014 ) for the ranking of the solutions of knowledge management adoption in supply chain to overcome its barriers. The selection of green suppliers for a Brazilian electronics company is built on the criteria of GSCM practices using fuzzy TOPSIS methodology (Kannan et al 2014 ).…”

Section: Literature Reviewmentioning

confidence: 99%

Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices

et al. 2016

View full text Add to dashboard Cite

At present, environmental issues become real critical barriers for many supply chain corporations concerning the sustainability of their businesses. In this context, several studies have been proposed from both academia and industry trying to develop new measurements related to green supply chain management (GSCM) practices to overcome these barriers, which will help create new environmental strategies, implementing those practices in their manufacturing processes. The objective of this study is to present the technical and analytical contribution that multi-criteria decision making analysis (MCDA) can bring to environmental decision making problems, and especially to GSCM field. For this reason, a multi-criteria decision-making methodology, combining fuzzy analytical hierarchy process and fuzzy technique for order preference by similarity to ideal solution (fuzzy TOPSIS), is proposed to contribute to a better understanding of new sustainable strategies through the identification and evaluation of the most appropriate GSCM practices to be adopted by industrial organizations. The fuzzy AHP process is used to construct hierarchies of the influential criteria, and then identify the importance weights of the selected criteria, while the fuzzy TOPSIS process employs these weighted criteria as inputs to evaluate and measure the performance of each alternative. To illustrate the effectiveness and performance of our MCDA approach, we have applied it to a chemical industry corporation located in Safi, Morocco.

show abstract

Evaluation of Green Supply Chain Management Strategies Using Fuzzy AHP and TOPSIS

Abstract: Abstract

Cited by 14 publications

References 10 publications

ANP-MOORA-based approach for the analysis of selected issues of green supply chain management

ANP-MOORA-based approach for the analysis of selected issues of green supply chain management

An Intuitionistic Fuzzy Group Decision-Making to Measure the Performance of Green Supply Chain Management with TOPSIS Method

Multi-criteria decision support framework for sustainable implementation of effective green supply chain management practices

Contact Info

Product

Resources

About