Optimal Cost Truck Triangulation in a Dynamic Intermodal Freight Transportation Supply Chain

Sajini Anand, PS and Bhat, VH and Ramesh, S (2019) Optimal Cost Truck Triangulation in a Dynamic Intermodal Freight Transportation Supply Chain. In: 2019 Fifteenth International Conference on Information Processing (ICINPRO), 20-22 Dec. 2019, Bengaluru, India, India.

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Abstract

Management of containers and carriers in a supply chain that spreads across different intermodal legs of ocean, land, river, rail and air transport is a challenging task in the shipping industry. During the intermodal phase, the triangulation of containers or carriers is a process that is sought to minimize cost by saving a possible transport leg. In this paper, we discuss an optimal triangulation process of containers carried by trucks in an intermodal transport network. We are addressing a specific triangulation process for the trucks engaged in import drops or export pickups of containers such that they can be effectively reused for the next export pickups or import drops in locations within a neighbourhood. We propose a mathematical model to address this problem in the framework of minimum cost network flows. Further, we introduce a heuristic method using the successive shortest path algorithm for the proposed model. The model is analyzed using data from current shipping networks of one of the major shipping industries for its North America database. © 2019 IEEE.

Item Type:	Conference Paper
Publication:	2019 15th International Conference on Information Processing: Internet of Things, ICINPRO 2019 - Proceedings
Publisher:	Institute of Electrical and Electronics Engineers Inc.
Additional Information:	cited By 0; Conference of 15th International Conference on Information Processing, ICINPRO 2019 ; Conference Date: 20 December 2019 Through 22 December 2019; Conference Code:159913
Keywords:	Automobiles; Containers; Costs; Drops; Freight transportation; Heuristic methods; Optimization; Pickups; Ships; Supply chains; Triangulation; Truck transportation; Trucks, Air transport; Intermodal transport; Minimum cost network flow; Neighbourhood; Optimal costs; Optimal triangulation; Shipping industry; Shortest path algorithms, Intermodal transportation
Department/Centre:	Division of Interdisciplinary Sciences > Computational and Data Sciences
Date Deposited:	24 Nov 2020 10:48
Last Modified:	24 Nov 2020 10:48
URI:	http://eprints.iisc.ac.in/id/eprint/65890

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