Data Driven Supply Chain Strategy Development Using Ahp For Quality And Delivery Optimization In Textiles

Authors

  • Dr. Balusamy R, Dr. Sivakumar C ,Dr. Nalini P

Keywords:

Textile Industry, Supply Chain, AHP, Sustainability, Cost Efficiency, Decision-Making

Abstract

The textile industry's progress and stability in Tamil Nadu heavily rely on effective supply chain mechanisms. Given the intricate and interrelated nature of textile operations, a structured approach is crucial to tackle key issues such as unpredictable costs, delays in
shipment, and sustainability targets. This research implements the Analytic Hierarchy Process (AHP), an established multi-criteria evaluation technique, to improve supply chain decisions within textile clusters. 

References

X. Nguyen, T. Doan, and V. Hoang, "The impact of global supply chain management on performance: Evidence from textile and garment industry," Uncertain Supply Chain Management, vol. 8, no. 1, pp. 17–26, 2020. DOI: 10.5267/j.uscm.2019.9.003.

J.D.C. Negrete and V.N. López, "A sustainability overview of the supply chain management in textile industry," Int. J. Trade, Economics and Finance, vol. 11, no. 5, pp. 92–97, 2020. DOI: 10.18178/ijtef.2020.11.5.673.

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Published

2024-01-02

How to Cite

Dr. Balusamy R, Dr. Sivakumar C ,Dr. Nalini P. (2024). Data Driven Supply Chain Strategy Development Using Ahp For Quality And Delivery Optimization In Textiles . Journal of Computational Analysis and Applications (JoCAAA), 33(1A), 580–603. Retrieved from https://eudoxuspress.com/index.php/pub/article/view/2253

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