An integrated framework for sustainable supplier selection and evaluation in supply chains

An extended TODIM multi-criteria group decision making method for green supplier selection in interval type-2 fuzzy environment

Evolution of sustainability in supply chain management: A literature review

A supplier selection life cycle approach integrating traditional and environmental criteria using the best worst method

Supplier selection among SMEs on the basis of their green innovation ability using BWM and fuzzy TOPSIS

An integrated green supplier selection approach with analytic network process and improved Grey relational analysis

Sustainable supply chain management has received much attention form researchers and practitioners over the past decade owing to the increasing awareness regarding environmental and social issues. Accordingly, organisations come under pressure from a number of both internal and external sources including employees, customers, competitors, socially aware organisations, communities, governments, and non-governmental organisations to act in a more socially responsible way. As a result, more authors are beginning to address supplier selection problems in light of sustainability criteria. However, the interrelationships among sustainability supplier selection criteria have rarely been discussed in the research literature. This study is aimed primarily at finding and analysing such interactions. We made use of interpretive structural modelling to extract the interrelationships among sustainability criteria and fuzzy decision-making trial and evaluation laboratory to determine the intensity of these relationships. A case study in the gas industry is presented to demonstrate the feasibility and efficacy of the proposed approach.

Analysis of interactions among sustainability supplier selection criteria using ISM and fuzzy DEMATEL

The purpose of this research is to take an in-depth look at the Baldrige Award framework by analysing the nature and strength of relationships between the Baldrige criteria. This study facilitates the prominent role that quality awards such as the Baldrige play in the implementation of total quality management (TQM) systems. We aim to fill a gap in the literature by utilising the original independent review scores of the Baldrige Award applicants obtained from the National Institute of Standards and Technology. In addition, canonical correlation analysis is applied in order to evaluate the Baldrige Award framework from a new perspective. The findings confirm previous research that there is a strong relationship between all the Baldrige criteria. This paper specifically stresses the strong role of leadership in the Baldrige framework and provides managers with useful implications regarding the implementation of TQM practices. Companies need to bear in mind that concentrating on specific sections of the mod...

A study of the Baldrige Award framework using the applicant scoring data

Green supply chain management has received much attention from scholars and practitioners over the past decade due to the increased emphasis on environmental issues from governments, customers, employees, competitors, and communities. Although a number of studies have addressed supplier selection problems from an environmental perspective, consideration of carbon management for supplier evaluation has rarely been discussed in the literature. Therefore, this study intends to develop a grey-based carbon management model for supplier selection in a green supply chain. Since decision-making in supplier selection generally deals with uncertain and incomplete information, we made use of an improved grey relational analysis in order to evaluate and select the most appropriate supplier. A numerical example is presented to show the efficacy of the proposed approach in supplier evaluations. The proposed approach in this study is novel and can be applied to other decision-making problems. Recommendations for future studies are presented in the final section.

A grey-based carbon management model for green supplier selection

Return of used products is gaining great worldwide attention due to resource depletion, environmental degradation, government legislation, and public awareness. Nowadays, reverse logistics is considered very important for organisations to improve their environmental and financial performance. Therefore, industries are turning to third–party reverse logistics providers (3PRLPs) for reusing, recycling, and remanufacturing of their products. In this paper, a multi–criteria decision making (MCDM) model is developed to guide the selection process of best 3PRLP. The proposed hybrid methodology is based on analytical hierarchy process (AHP) and grey relational analysis for 3PRLP selection and evaluation. This paper uses grey numbers for expressing ambiguity of the real world data and subjectivity of decision makers' assessments and presents a grey possibility degree for ranking 3PRLPs. To validate the capability of the proposed model a numerical example is presented in an automotive industry. Finally, managerial implications and future research directions conclude the paper.

Seyed Hamid Hashemi

Papers

An integrated green supplier selection approach with analytic network process and improved Grey relational analysis

Analysis of interactions among sustainability supplier selection criteria using ISM and fuzzy DEMATEL

A study of the Baldrige Award framework using the applicant scoring data

A grey-based carbon management model for green supplier selection

A grey–based decision–making approach for selecting a reverse logistics provider in a closed loop supply chain