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716. Comparative Insights: Untangling Blockchain Enablers in Traditional vs. Electric Vehicle Manufacturer

Invited abstract in session WB-44: Pairwise comparisons and preference relations 4, stream Multiple Criteria Decision Analysis.

Wednesday, 10:30-12:00
Room: 20 (building: 324)

Authors (first author is the speaker)

1. Avinash chauhan
Vinod gupta school of management, Indian Institute of Technology, Kharagpur
2. M Vimala Rani
VGSoM, Indian Institute of Technology Kharagpur

Abstract

This study conducts a comprehensive comparative analysis of blockchain technology's impact on traditional automotive and electric vehicle (EV) manufacturing sectors, focusing on transparency, security, efficiency, trust, compliance, sustainability, innovation, and customer satisfaction. It utilizes Multiple Criteria Decision Making (MCDM) methods such as AHP and TOPSIS, along with TISM and MICMAC methodologies to develop the conceptual framework and relationship. In traditional automotive manufacturing, blockchain enables enhanced supply chain transparency, ensuring traceability of components and materials, thus improving compliance and fostering trust among stakeholders. This transparency enhances collaboration and streamlines operations. For EV manufacturing, blockchain facilitates lifecycle management of critical components like batteries, optimizing usage, monitoring performance, and ensuring responsible disposal. It also integrates renewable energy sources, promoting sustainability and clean energy innovation. The analysis provides guidance for decision-makers in both sectors to tailor blockchain strategies, unlocking benefits such as transparency, security, efficiency, stakeholder collaboration, and sustainability throughout the supply chain. Embracing blockchain technology empowers manufacturers to navigate challenges and capitalize on opportunities, fostering a more resilient, efficient, and sustainable automotive industry.

Keywords

Status: accepted


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