Sustainable supplier selection criteria classification for Indian iron and steel industry: a fuzzy modified Kano model approach

ABSTRACT

The aim of this work is to provide a systematic approach for sustainability criteria clustering into different useful categories. For this purpose, a methodology has been proposed with the following three steps. (i) A comprehensive set of the sustainability criteria in economic, environmental and social dimension has been extracted from the literature and have been customised for the iron and steel industry. (ii) A fuzzy Kano methodology has been used to classify these sustainability criteria into useful Kano cluster like must-be, one-dimensional, and attractive cluster (iii) further, must-be and attractive criteria derived from the second step were further sub-classified into three categories using Type IV Kano model. All steps have been examined in the iron and steel industry of India and findings indicate that quality and delivery criteria are classified as high must be criteria in the economic realm. Further, environmental and energy management system in the environmental dimension and social responsibility and right of stakeholders criteria in the social dimension are classified as high must be criteria. Prioritising must be and attractive criteria enable decision makers of other industries to select the appropriate criteria to adopt sustainability.

KEYWORDS:

• sustainability
• sustainable supplier selection
• fuzzy Kano model
• clustering
• type IV Kano model
• sustainable Kano cluster

Disclosure statement

No potential conflict of interest was reported by the authors.

Additional information

Notes on contributors

Naveen Jain

Naveen Jain is research scholar at National Institute of Technology, Raipur, India. He has completed his Bachelor of Engineering in Mechanical Engineering from Barkatullah University, Bhopal, India. He also holds Master’s degree in Production Engineering. His research areas are Supply Chain Management and Multi Criteria Decision Making (MCDM). He has published several papers in International and National journals and has presented papers in International Conferences.

A. R. Singh

Dr. A. R. Singh is an Assistant Professor in the Mechanical Engineering Department at National Institute of Technology, Raipur, India. He has completed his Bachelor of Engineering degree in Mechanical engineering from U.P.T.U, University, India. He has Master of Technology degree in CAD-CAM from Motilal Nehru National Institute of Technology, Allahabad, India. He holds a PhD in Mechanical Engineering from Motilal Nehru National Institute of Technology, Allahabad, India. His areas of specialization are operation research, supply chain management, optimization techniques and multi criteria decision making. He has published more than 30 papers in International journals and International/National Conferences. Some of the international journals in which papers are published include – International Journal of Advanced Manufacturing Technology, International journal of multi criteria decision making, Journal of intelligent manufacturing, International Journal of Design Engineering, International journal of manufacturing systems etc.