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Drop-off Prediction Models and Route Optimization for Cost-effective Delivery Operations

Year: 2024

Type: article

Abstract: The role of integrating drop-off prediction models with route optimization approaches in improving the cost-efficacy of delivery processes is an area examined in this paper. The experimental results obtained from deep learning along with evolutionary algorithms in this paper point towards strong evidence that there are significant enhancements in fare and cost effective routes. As such advanced techniques, they might bring about a positive impact to the extent that the delivery of logistics may be made in an environmentally friendly and economically efficient manner.

Source: Journal of Sustainable Solutions.

DOI: 10.36676/j.sust.sol.v1.i4.48

Author: Bhageerath Bogi

Language: English

Topic: Vehicle Routing Optimization Methods

Subfield: Industrial and Manufacturing Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Responsible consumption and production, Sustainable cities and communities

Open Access status: hybrid

OpenAlex ID: W4405728435

FWCI:

Cites: 10

Cited by:

Related to: 10