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A Supply Chain Study of Managing Multiple Routes Thru Ant Colony Optimization

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Recent Advances in Industrial Machines and Mechanisms (IPROMM 2022)

Abstract

Supply chains are emerging trends across the globe, and the response time of any good supply chain is dictated by managing the vehicle routing across its chain. The recent supply chains like the big basket and Swiggy depend upon efficient vehicle routings. The current paper efficiently cuts down the transit time by optimizing the travel routes within each supply chain hub. The problem can be best explained as a HUB and Spoke mechanism. The hub represents the warehouse, and the spoke represents the various routes devised for delivering to the customer. The paper addresses the different delivery boys needed for efficiently delivering the goods to the customer in minimum time, thus improving the response time of supply chains. An ant colony optimization is designed to minimize the response time of the different supply chains.

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Correspondence to Srinivas Rao Tatavarthy .

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Khan, P.A., Ravada, V.T., Tumna, M., Vidiyala, S.S., Tatavarthy, S.R. (2024). A Supply Chain Study of Managing Multiple Routes Thru Ant Colony Optimization. In: Ghoshal, S.K., Samantaray, A.K., Bandyopadhyay, S. (eds) Recent Advances in Industrial Machines and Mechanisms. IPROMM 2022. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-99-4270-1_60

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  • DOI: https://doi.org/10.1007/978-981-99-4270-1_60

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-4269-5

  • Online ISBN: 978-981-99-4270-1

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