Pooja Pandya,
Gunja Dave,
Nirali,
- Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
- Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
- Assistant Professor, Department of Computer Application, Noble University, Junagadh, Gujarat, India
Abstract
Transportation route optimization and cost reduction are major difficulties in today’s dynamic and complicated supply chain systems. To produce economical and effective network designs, this study investigates the use of Kruskal’s algorithm for supply chain network optimization. The algorithm guarantees that all supply chain nodes, including delivery hubs, warehouses, and distribution centers, relate to the lowest possible total transportation cost by building the minimum spanning tree (MST). The study shows how Kruskal’s algorithm systematically chooses the most economical routes, resulting in notable cost savings and improved operational effectiveness. This study demonstrates the algorithm’s ease of use, scalability, and adaptability through real-world examples and comparative analysis, making it a useful tool for supply chain management. The results highlight how crucial it is to gather precise data and consider other elements like delivery schedules and capacity limitations in order to guarantee thorough optimization. All things considered, this study highlights Kruskal’s algorithm as a crucial tool for developing effective, economical supply chain networks.
Keywords: Kruskal’s algorithm, supply chain optimization, minimum spanning tree (MST), transportation cost reduction, cost-effective supply chain, graph theory in supply chain, supply chain network optimization, algorithmic optimization, supply chain management, transportation routes
[This article belongs to International Journal of Algorithms Design and Analysis Review (ijadar)]
Pooja Pandya, Gunja Dave, Nirali. Applying Kruskal’s Algorithm in Supply Chain Management for Cost-Effective Network Optimization. International Journal of Algorithms Design and Analysis Review. 2025; 03(01):49-54.
Pooja Pandya, Gunja Dave, Nirali. Applying Kruskal’s Algorithm in Supply Chain Management for Cost-Effective Network Optimization. International Journal of Algorithms Design and Analysis Review. 2025; 03(01):49-54. Available from: https://journals.stmjournals.com/ijadar/article=2025/view=0
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International Journal of Algorithms Design and Analysis Review
| Volume | 03 |
| Issue | 01 |
| Received | 20/12/2024 |
| Accepted | 22/01/2025 |
| Published | 21/02/2025 |
| Publication Time | 63 Days |
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