International Journal For Multidisciplinary Research

E-ISSN: 2582-2160     Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.

SynerChain: Orchestrating Symbiotic Supply Network Dynamics for Holistic Optimization and Sustainable Growth

Author(s) Dharshini V, Anburaman Seetharaman, Srilekha S
Country India
Abstract In today's dynamic global economy, supply chain management has emerged as a critical component for businesses seeking to gain a competitive edge. However, the complexity of modern supply chains presents numerous challenges, ranging from cost minimization and environmental impact reduction to ensuring product availability. This research paper proposes a comprehensive approach to address these challenges through the integration of data analytics and machine learning techniques. By leveraging advanced algorithms such as random forest classifier, logistic regression, decision tree algorithm, clustering algorithms, and genetic algorithm, the proposed Multi-Objective Supply Chain Optimization platform aims to revolutionize supply chain management. The platform offers decision-makers actionable insights for informed and sustainable choices, empowering them to achieve a balance between financial efficiency and ecological responsibility. Through a detailed examination of costs, sustainability metrics, and product availability, this paper demonstrates the potential of data-driven approaches to transform supply chain management. Furthermore, the paper explores the implementation of the Multi-Objective Supply Chain Optimization web application, highlighting its key functionalities and modules. By providing real-time tracking, dynamic route optimization, and expanded environmental impact analysis, the platform offers a holistic solution to the multifaceted challenges faced by modern supply chains. Ultimately, this research paper underscores the critical role of data analytics and machine learning in driving supply chain efficiency, reducing costs, and promoting environmental sustainability, thereby positioning businesses for long-term success in an increasingly interconnected world.
Keywords Supply chain optimization, Multi-objective optimization, Sustainable supply chain, Data analytics, Machine learning, Environmental impact analysis, Cost minimization, Inventory management, Route optimization, Decision support system, Logistics, Supply chain management, Sustainability , Holistic optimization, Supply chain technology
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-04
Cite This SynerChain: Orchestrating Symbiotic Supply Network Dynamics for Holistic Optimization and Sustainable Growth - Dharshini V, Anburaman Seetharaman, Srilekha S - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.16349
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