Sumit Chandak,
Sunil Pipleya,
Amit Chandak,
Abstract
This article aims to enhance the efficiency and effectiveness of the supply chain within the Indian automotive sector through the application of innovative information technology tools and artificial intelligence. To achieve this goal, the study focuses on three main objectives: identifying key driving factors through an extensive literature review, analyzing the interrelationships among these factors, and prioritizing them based on their importance. In today’s competitive environment, customer satisfaction is paramount for businesses. Through rigorous literature review, ten influential factors, particularly those related to information technology tools, have been identified. A unified model is proposed to strengthen the supply chain of the Indian automotive sector, thereby improving marketing activities and future efficacy. By employing the Design Making Trial and Evaluation Laboratory (DEMETEL), data on the impact and effectiveness of each factor are collected, and a multi-level structured model is constructed to determine causal relationships. Factor ranking is determined through the DEMETEL Multiple Criteria Decision Making (MCDM) method. The findings suggest that implementing strategies based on these identified factors can significantly enhance the marketing effectiveness of Indian MSMEs, ultimately leading to a more efficient supply chain in the Indian automotive industry.
Keywords: Supply Chain Management, Information Technology, Artificial Intelligence
[This article belongs to Journal of Advances in Shell Programming(joasp)]
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Journal of Advances in Shell Programming
| Volume | 11 |
| Issue | 02 |
| Received | June 14, 2024 |
| Accepted | June 24, 2024 |
| Published | July 4, 2024 |