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Erschienen in:

2024 | OriginalPaper | Buchkapitel

Multi-objective Cold Chain Logistics Route Optimization Considering Road Risk Under the Background of “Dual Carbon”

verfasst von : Meiyan Li, Qin Gao, Pingping Zhao

Erschienen in: Proceedings of Industrial Engineering and Management

Verlag: Springer Nature Singapore

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Abstract

Fresh product distribution, as a key part of fresh e-commerce market competition, needs to have high timeliness and reliability. Reasonable optimization of distribution routes can enable companies to save distribution cost and improve customer satisfaction. This paper constructs a hybrid nonlinear integer programming model based on carbon emissions and road risk coefficients by considering delivery time, cost, and distance, and designs an improved genetic algorithm to solve the model. Finally, Beijing J e-commerce fresh distribution was taken as an example to verify the model, optimize the fresh distribution path, and lay a decision foundation for decision makers.

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Vorheriges Kapitel Impact of Consumers’ Anticipated Regret on Remanufacturing Supply Chain Decisions Under Carbon Cap-and-Trade Policy

Nächstes Kapitel Dynamic Requirement Elicitation and Forecasting for Smart Product-Service System Innovation via User-Manufacturer Dual Perspective

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Titel: Multi-objective Cold Chain Logistics Route Optimization Considering Road Risk Under the Background of “Dual Carbon”
verfasst von: Meiyan Li
Qin Gao
Pingping Zhao
Verlag: Springer Nature Singapore
Buch: Proceedings of Industrial Engineering and Management
Print ISBN: 978-981-9701-93-3

Electronic ISBN: 978-981-9701-94-0

Copyright-Jahr: 2024
DOI: https://doi.org/10.1007/978-981-97-0194-0_60

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