International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 176 - Number 10 |
Year of Publication: 2020 |
Authors: Ratna Banerjee, Remica Aggarwal, S. P. Singh |
10.5120/ijca2020920029 |
Ratna Banerjee, Remica Aggarwal, S. P. Singh . A Study of Interrelationship between Green Supplier Selection Enablers using ISM Methodology. International Journal of Computer Applications. 176, 10 ( Apr 2020), 27-35. DOI=10.5120/ijca2020920029
Appropriate supplier selection is an important and critical decision in supply chain management. It involves considering multiple conflicting criteria such as cost, delivery, lead- time etc. and hence researchers, for analyzing these criteria while selecting suppliers have adopted various multi-criteria methods or methodologies. In recent years, growing environmental awareness and environmental sustainability encourages consumers as well as organizations and enterprises to look for greener alternatives. The prime reason being that the supply chain activities and many logistics activities are the leading sources of carbon dioxide (CO2) emission and environmental pollutants. The emergence of green supply chain paradigm lead to the incorporation of green or environment friendly criteria in supplier selection as well. Consideration of applying a mix of criteria i.e. traditional as well as green criteria while selecting an appropriate supplier is a challenge for any manufacturing enterprise. Present research paper focuses on this concept. The objectives in this paper are two folds: firstly it identify the necessary green supplier selection criteria based on author’s own observation and extensive literature review and thereafter it studies the interrelationships and their dependence and driving relationships using an Interpretive Structural Modeling (ISM) technique. Analysis shows that criteria such as reputation, geographical location, financial position and quality planning are drivers as they have high driving power whereas green criteria such as technical expertise, green supplier image, environmental design, waste management system, recyclable material have high driving as well as high dependence power hence they are linkage criteria.