An Integrated Model for Evaluation, Selection and Monitoring of Sustainable Suppliers' Performance Based on Customer-Satisfaction in Industry 4.0 Era

Abstract

Due to increasing socio-ecological concerns, manufacturers are paying ample attention to the strategic decision-making for enhancing customer satisfaction considering Industry 4.0 requirements. Customers' preferences are being considered vital into the decisions related to sustainable supplier selection for building competitive gain. Thus, the objective of this study is to develop a real-case-based empirical approach for evaluating performance of suppliers based on customers' feedback, an area not explored much in literature. The novelty of current study lies in the development of an integrated supplier evaluation and selection model involving three phases: (1) identifying sustainable criteria according to Industry 4.0 requirement through customers' feedback, (2) calculating relative scores of criteria using Z-numbers and (3) determining evaluation weights of suppliers using fuzzy-TOPSIS. The contribution of the study lies in effective validation of the model by considering the case of a manufacturing firm, which aids the firm in evaluating performance of suppliers based on customers' socio-ecological expectations while considering reliable information provided by decision-makers (DMs).

Citation

Ahuja, N., Darbari, J.D. and Jha, P.C. (2024), "An Integrated Model for Evaluation, Selection and Monitoring of Sustainable Suppliers' Performance Based on Customer-Satisfaction in Industry 4.0 Era", Mathiyazhagan, K., Kishore, A., Behdani, B. and Thanki, H. (Ed.) Impact of Industry 4.0 on Supply Chain Sustainability, Emerald Publishing Limited, Leeds, pp. 255-273. https://doi.org/10.1108/978-1-83797-777-220241018