A Comprehensive Evaluation Model for Smart Supply Chain Based on The Hybrid Multi-Criteria Decision-Making Method

Abstract

Enhancing the smartness of the supply chain under the influence of information technology development at different levels can have a significant effect on its overall performance and a favorable response to the continuous changes in the business environment in the wide network of local and global supply chains. Therefore, in this study, the important and influential aspects of supply chain smartness have been investigated via a comprehensive assessment model. Then, evaluation criteria are prioritized using the new combined multi-criteria decision-making method. For this purpose, the supply chain of Iran Khodro Company has been considered as a case study. The identification and selection of assessment criteria are based on the literature review and experts' opinions via the Delphi method. Then, by using the developed best-worst group fuzzy method, the final prioritization of the criteria has been proposed. Finally, the evaluation of smartness improvement solutions is proposed by using the Vikor method. The main obtained results indicate the importance of cost, technology, security, customer relationship management, and agility criteria.