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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

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Paper Title: Real World Application of Transportation Problem: A Case Study Approach
Authors Name: Durvesh Kumar , Sai Krishna , Ayush Verma , Kalpana Jaswal
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IJRTI_205507
Published Paper Id: IJRTI2507149
Published In: Volume 10 Issue 7, July-2025
DOI: https://doi.org/10.56975/ijrti.v10i7.205507
Abstract: The transportation problem is a foundational concept in linear programming broadly used in supply chain logistics supply chain management, and operations research to determine the most efficient allocation of resources from multiple sources to various destinations while minimizing transportation costs. We have various paths to from source to destination but in transportation method we find a path which has minimum transportation cost and less time consuming. A user decides the path which has most effective and more efficient. This review paper provides a detailed examination of the transportation problem, beginning with its mathematical formulation and classical solution methods, including the North West Corner Rule, Least Cost Method, and Vogel’s Approximation Method. The paper delves into modern optimization strategies such as LP solvers, heuristic algorithms, and artificial intelligence techniques that increase both the efficiency and flexibility of the model. Additionally, the paper highlights practical applications across industries, evaluates the structural strengths and limitations of existing models, and summarizes key findings from past research.
Keywords: Transportation Problem, Linear Programming, Stepping Stone Method, Modified Distribution Method, Optimization Techniques, Northwest Corner Rule, Least Cost Method, Vogel’s Approximation Method, Artificial Intelligence
Cite Article: "Real World Application of Transportation Problem: A Case Study Approach", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2455-2631, Vol.10, Issue 7, page no.b336-b342, July-2025, Available :http://www.ijrti.org/papers/IJRTI2507149.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2507149
Registration ID:205507
Published In: Volume 10 Issue 7, July-2025
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v10i7.205507
Page No: b336-b342
Country: Ghaziabad, Uttar Pradesh, India
Research Area: Computer Science & Technology 
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2507149
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2507149
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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