Application of Internet of Things in the Green Supply Chain and Investigating the Effective Factors for Selecting a Green Supplier (A Case Study: Mashhad Rubber Factory

Document Type : Research/ Original/ Regular Article

Authors

1 Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad, Iran

2 Department of Management, Faculty of Economics and Administrative Sciences, Ferdowsi University of Mashhad, Mashhad

Abstract

As environmental policies are highlighted in the green supply chain, it plays an essential role in improving the supply chain capabilities. On the other hand, considering the development of technology and the Internet of Things intelligence and their potentials in goal achievement, it is important to investigate and study their applications in this field. This study aims to identify the most important criteria in selecting a green supplier and investigate the impact of the Internet of Things (IoT) on this selection. To achieve these objectives, the fuzzy cognitive map (FCM) method is used to identify the effective weights of each criterion and introduce the most effective criterion by examining the centrality. The fuzzy hierarchical analysis (FAHP) is used to investigate the role of IoT in the green supply chain. The results indicate that air pollution control is the most important criterion for evaluating the suppliers and also has the greatest impact on IoT.

Keywords

Main Subjects


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  • Receive Date: 29 April 2022
  • Revise Date: 02 August 2022
  • Accept Date: 21 September 2022
  • Publish Date: 22 November 2022