Optimizing logistics routings in a network perspective of supply and demand nodes

Lam, C. Y. Teresa

doi:10.1007/s10100-019-00653-w

Cited by 5 publications

(1 citation statement)

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“…Hassanzadeh, Atyabi & Dinarvand (2019) evaluate the significance of artificial intelligence in drug delivery system design. The problem might be solved in logistics by optimizing transportation routines from a network perspective of supply and demand nodes (Lam, 2021).…”

Section: Delivery Flexibilitymentioning

confidence: 99%

Applying artificial intelligence in the logistics sector of Lithuania: prospects and opportunities

Ambrusevič,

Gomienė

2024

JESI

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Logistics has been one of the most important sectors of Lithuania's economy. However, recent economic, social and political challenges significantly impacted sector development, making its representatives search for new ways of business development by changing conservative models with more advanced ones. For instance, changes in the logistics sector affected by the implementation of remote work opportunities have created possibilities for providing logistics-related services across the globe. Most of the attention is being paid to solutions based on the application of artificial intelligence, and the future of logistics sector development is closely dependent on it. The paper aims to discover new prospects in applying artificial intelligence in the logistics sector by bringing forward an overview of the main sector's activities, performing historical economic data analysis and conducting a survey with representatives of leading companies from the logistics sector in Lithuania. The multicriteria method is used in data analysis, helping establish the main prospects in the sector's development.

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Section: Delivery Flexibilitymentioning

confidence: 99%