A Hierarchical Decision-Making Framework for Quantitative Green Supply Chain Management

2016 ◽  
pp. 129-157
Author(s):  
Rommert Dekker ◽  
Jacqueline Bloemhof-Ruwaard ◽  
Ioannis Mallidis
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Hierarchical Decision Making ◽  
Chain Management ◽  
Hierarchical Decision ◽  
Decision Making Framework

Agrifood supply chain management: A comprehensive hierarchical decision-making framework and a critical taxonomy

2014 ◽  
Vol 120 ◽  
pp. 47-64 ◽  
Author(s):  
Naoum K. Tsolakis ◽  
Christos A. Keramydas ◽  
Agorasti K. Toka ◽  
Dimitrios A. Aidonis ◽  
Eleftherios T. Iakovou
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Hierarchical Decision Making ◽  
Chain Management ◽  
Hierarchical Decision ◽  
Decision Making Framework

Establishment of Green Supply Chain Management in Steel Industries Using Interpretive Structural Modeling

2019 ◽  
Vol 18 (4) ◽  
pp. 363-374
Author(s):  
Rajesh Kumar ◽  
Shiena Shekhar
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Structural Modeling ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Multi Criteria Decision Making ◽  
Interpretive Structural Modeling ◽  
Chain Management ◽  
Steel Industries

Abstract The state of Chhattisgarh in India has a very large number of steel plants causing pollution in the region. The effect of this pollution exceeds the geographical territory of a unit, and goes much beyond it, so it becomes essential to find the reasons for the pollution and the enablers for the green supply chain management, which in turn will help in providing a cleaner environment. In this study Multi-Criteria Decision Making (MCDM) tools like Interpretive Structural Modeling and MICMAC analysis have been used.

Evaluation of Green Supply Chain Factors Using DEMATEL

2014 ◽  
Vol 592-594 ◽  
pp. 2619-2627 ◽  
Author(s):  
K.R. Anand ◽  
Ramalingaiah ◽  
P. Parthiban
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Corporate Responsibility ◽  
Qualitative Data ◽  
Green Manufacturing ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Environmental Footprint ◽  
Chain Management

Green supply chain management (GSCM) is a powerful tool to differentiate one company from the others and it can greatly influence the success of any plan. With increased awareness about corporate responsibility and the necessary to meet the terms of the environmental policy, green supply chain management (GSCM) is becoming increasingly important for Indian manufacturers. This study aims to explore different factors whose consideration in supply chains lead to reduced environmental load. Adoption of those factors reduce environmental footprint and improve green credentials. The questionnaire used to obtain opinion of managers at different level from industries. The best factor for environmental friendly supply chain determined using Decision making trial and evaluation laboratory (DEMATEL) method. DEMATEL is a multi criteria decision making tool which has ability to convert qualitative data into quantitative analysis. DEMATEL method used to study the influence of the most important factor and to find out the ranking of critical factors in supply chain of industry. The result of paper gives best factor and adoption of same influences green performance of supply chain. Key finding from this study tells green manufacturing and green logistics has highest influence in green supply chain practices.

Multi-Criteria Decision Making Techniques for Green Supply Chain Management

2019 ◽  
pp. 1545-1571
Author(s):  
Samet Güner ◽  
Halil İbrahim Cebeci
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Multi Criteria Decision Making ◽  
Chain Management ◽  
Green Practices ◽  
Major Application ◽  
Detailed Picture

Due to increasing importance of environmental issues, green practices became an important part of supply chain management. Today, various multi-criteria decision making techniques (MCDM) have been utilized for incorporation of green efforts in supply chain practices effectively. The purpose of this paper is examining the existing application areas of MCDM techniques in green supply chain management (GSCM) literature. Three questions will be investigated in relation to this issue: 1) Which MCDM techniques were prevalently applied in GSCM literature? 2) Which MCDM techniques have been overlooked in GSCM literature? 3) What are the major application areas of MCDM techniques in GSCM practices? To this aim, literature is reviewed between the period of 2008 and the first half of 2016. In total, ninety eight journal articles were examined. Consequently, this paper represents a detailed picture of application areas of MCDM techniques in GSCM practices and can definitely give a blueprint to researches in solving multiple objective problems effectively in the area of GSCM.

scholarly journals Multi-Criteria Group Decision Making for Green Supply Chain Management under Uncertainty

2018 ◽  
Vol 10 (9) ◽  
pp. 3150 ◽  
Author(s):  
Hepu Deng ◽  
Feng Luo ◽  
Santoso Wibowo
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Group Decision Making ◽  
Group Decision ◽  
Decision Makers ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Individual Decision ◽  
Chain Management

This paper presents a multi-criteria group decision making model for effectively evaluating the performance of green supply chain management (GSCM) practices under uncertainty in an organization. The subjective assessments of individual decision makers are appropriately represented with the use of intuitionistic fuzzy numbers for better tackling the uncertainty existent. An algorithm is developed to assist individual decision makers in evaluating the performance of alternative GSCM practices across all the evaluation criteria. An example is presented for demonstrating the applicability of the proposed model in solving similar problems in the real-world setting.

scholarly journals Models for MADM with Single-Valued Neutrosophic 2-Tuple Linguistic Muirhead Mean Operators

Mathematics ◽  
2019 ◽  
Vol 7 (5) ◽  
pp. 442 ◽  
Author(s):  
Jie Wang ◽  
Jianping Lu ◽  
Guiwu Wei ◽  
Rui Lin ◽  
Cun Wei
Keyword(s):  
Decision Making ◽  
Supply Chain ◽  
Supply Chain Management ◽  
Supplier Selection ◽  
Multiple Attribute Decision Making ◽  
Green Supply Chain Management ◽  
Green Supply Chain ◽  
Chain Management ◽  
Green Supplier Selection ◽  
Multiple Attribute

In this article, we expand the Muirhead mean (MM) operator and dual Muirhead mean (DMM) operator with single-valued neutrosophic 2-tuple linguistic numbers (SVN2TLNs) to propose the single-valued neutrosophic 2-tuple linguistic Muirhead mean (SVN2TLMM) operator, the single-valued neutrosophic 2-tuple linguistic weighted Muirhead mean (SVN2TLWMM) operator, the single-valued neutrosophic 2-tuple linguistic dual Muirhead mean (SVN2TLDMM) operator, and the single-valued neutrosophic 2-tuple linguistic weighted dual Muirhead mean (SVN2TLWDMM) operator. Multiple attribute decision making (MADM) methods are then proposed using these operators. Finally, we utilize an applicable example for green supplier selection in green supply chain management to prove the proposed methods.

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