A vehicle routing optimization model was created with the aim of reducing delivery costs by taking into account elements including simultaneous pickup and delivery, carbon emissions, and time windows. The vehicle routing optimization solutions for scenarios with and without consideration of carbon emissions, with and without simultaneous pickup and delivery were separately calculated using a genetic algorithm on a conventional dataset. According to a comparative examination of the data, it may be successfully controlled and improved product circulation rates, logistics delivery costs, and carbon emissions by taking into account both simultaneous pickup and delivery and carbon emissions components. This study offers useful information for making decisions to improve logistics delivery to consumer locations.
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Gao et al. (2024) studied this question.
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