Analyzing Critical Success Factors of IoT-Enabled Green Supply Chain Management Using Bipolar Neutrosophic-DEMATEL

Authors

  • Wafaa A. Saleh Department of Decision Support, Faculty of Computers and Informatics, Zagazig University
  • Sherine M. Abdelkaderb Department of Computers and Systems, Electronics Research Institiute
  • Heba Rashada
  • Amal Abdelgawad Department of Decision Support, Faculty of Computers and Informatics, Zagazig University

Keywords:

Green Supply Chains, IoT, Critical Success Factors, DEMATEL Bipolar-Neutrosophic.

Abstract

: Recent Supply Chain Management Systems (SCMS) that is based on newer technologies
are intelligent enough to lower costs, improve product quality, and speed up the decision-making
process in the manufacturing operation. The reduction of overall environmental impact, is a goal of
the Green Supply Chain Management (GSCM) systems. It is achieved by integrating
environmentally friendly processes into SCMS. The main and most crucial role in achieving the goal
of sustainable development is played by the GSCM practices. It is proved that, the adoption of IoT
technology into the GSCM systems can increase its performance and productivity. The goal of this
paper is to examine the Critical Success Factors (CSFs) for the efficient adoption of IoT and green
solutions throughout the supply chain for the manufacturing sector. As a result of pressure from
the government and increased customer awareness of environmental issues, manufacturers are
currently focusing on GSCM that is enabled by IoT gadgets. The selection and prioritization of IoTenabled GSCM success variables is performed, in this paper, using bipolar neutrosophic-DEMATEL
approach.

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Published

2023-05-01

Issue

Section

SI#1,2024: Neutrosophical Advancements And Their Impact on Research

How to Cite

Wafaa A. Saleh, Sherine M. Abdelkaderb, Heba Rashada, & Amal Abdelgawad. (2023). Analyzing Critical Success Factors of IoT-Enabled Green Supply Chain Management Using Bipolar Neutrosophic-DEMATEL. Neutrosophic Sets and Systems, 55, 132-159. https://fs.unm.edu/nss8/index.php/111/article/view/3183