Optimizing Intermodal Transportation in India : A Hypothetical Case Study in Supply Chain Management

Authors

  • Sunilkumar N Chaudhari  Mechanical Engineering Department, Bhailalbhai & Bhikhabhai Institute of Technology, Vallabh Vidyanagar, Gujarat, India
  • Amarishkumar J Patel  Mechanical Engineering Department, Bhailalbhai & Bhikhabhai Institute of Technology, Vallabh Vidyanagar, Gujarat, India

Keywords:

Intermodal Transportation, Supply Chain, Logistics, Optimization

Abstract

This research paper presents a detailed hypothetical case study on optimizing intermodal transportation within India's complex and diverse logistics network. The study explores the challenges faced by a logistics company operating across multiple regions of India, utilizing Mixed-Integer Linear Programming (MILP) and Genetic Algorithms (GA) to devise an optimized transportation strategy. The objective is to minimize transportation costs and transit times while maximizing service levels. The findings indicate significant efficiency gains, which can be applied to real-world scenarios, highlighting the critical role of integrated supply chain management in enhancing the performance of India's logistics sector. By incorporating factors such as regional infrastructure variability and demand fluctuations, the study demonstrates how advanced optimization techniques can address the unique constraints of India's logistics environment. Furthermore, the research provides actionable insights for policymakers and logistics companies aiming to improve operational efficiency and service quality in a rapidly evolving market. The proposed framework offers a scalable solution that can adapt to future changes in logistics demands and technological advancements.

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Published

2021-09-15

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Section

Research Articles

How to Cite

[1]
Sunilkumar N Chaudhari, Amarishkumar J Patel, " Optimizing Intermodal Transportation in India : A Hypothetical Case Study in Supply Chain Management, IInternational Journal of Scientific Research in Mechanical and Materials Engineering(IJSRMME), ISSN : 2456-3307, Volume 5, Issue 5, pp.18-28, September-October-2021.