A Study on Supply Chain Management of LNG Using Artificial Intelligence

Abstract The use of Artificial Intelligence (AI) in the supply chain management (SCM) of liquefied natural gas (LNG) is an important turning point with far reaching impact on the industry. It focuses on how AI technologies can help optimize different aspects of the LNG supply chain such as demand forecasting, inventory control, route optimization and risk management. The study looks into how it facilitates visibility across the entire supply chain, manage risks associated with international sanctions and embargoes and assesses its influence on energy efficiency and emissions. Employing mixed-method approach that includes qualitative interviews, case studies and quantitative analysis, this research provides comprehensive insights as well as actionable recommendations. The findings indicate that AI has potential to revolutionize LNG SCM through increased operational efficiencies, lower costs, and more sustainable/resilient operations.

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Publication Details

Published
2024-11-04
DOI
https://doi.org/10.2118/222919-ms
Citations
1
Primary Topic
Technology and Data Analysis
Type
article
Field-Weighted Citation Impact
0.78
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article

A Study on Supply Chain Management of LNG Using Artificial Intelligence

Nicy Susan Koshy
1 citations
Technology and Data Analysis
0.78
article

A Study on Supply Chain Management of LNG Using Artificial Intelligence

Nicy Susan Koshy
article en
1 citations

Abstract

Abstract The use of Artificial Intelligence (AI) in the supply chain management (SCM) of liquefied natural gas (LNG) is an important turning point with far reaching impact on the industry. It focuses on how AI technologies can help optimize different aspects of the LNG supply chain such as demand forecasting, inventory control, route optimization and risk management. The study looks into how it facilitates visibility across the entire supply chain, manage risks associated with international sanctions and embargoes and assesses its influence on energy efficiency and emissions. Employing mixed-method approach that includes qualitative interviews, case studies and quantitative analysis, this research provides comprehensive insights as well as actionable recommendations. The findings indicate that AI has potential to revolutionize LNG SCM through increased operational efficiencies, lower costs, and more sustainable/resilient operations.

Population Services International (IN)
Affordable and clean energy
Openalex Percentile: Top 20%
Technology and Data Analysis
0.78
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A Study on Supply Chain Management of LNG Using Artificial Intelligence — Nicy Susan Koshy · (2024) | TGRS Research Map | TGRS