Green Profit Optimization and Collaborative Innovation in Sustainable Maritime Supply Chains

Amid the urgent demands for global trade transformation and zero-carbon transition, sustainable maritime supply chains face challenges of high costs and complex coordination, necessitating the elimination of “isolated decision-making” to achieve sustainable development goals. This study constructs a profit analysis model under centralized and decentralized decision-making scenarios and various intelligent omni-channel models, exploring the profit composition, optimal pricing, and operational strategies of carriers and forwarders. Case analysis validates that collaborative optimization, particularly when forwarders leverage online channels and customer proximity, enables sustainable maritime transport and significantly enhances overall profits and efficiency in sustainable maritime supply chains. This research provides a theoretical and practical framework for collaborative optimization strategies contributing to sustainable maritime transport and port intelligence in marine engineering contexts. By this framework, it will be possible to advance green transformation, smart operations management, and digital innovation in the global maritime and marine industries.

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Publication Details

Journal
Sustainability
Published
2025-11-04
DOI
https://doi.org/10.3390/su17219845
Primary Topic
Maritime Ports and Logistics
Type
article
Field-Weighted Citation Impact
0.00
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article

Green Profit Optimization and Collaborative Innovation in Sustainable Maritime Supply Chains

Guangnian Xiao, Zengjie Kuang, Yiping Yu
Sustainability
Maritime Ports and Logistics
article

Green Profit Optimization and Collaborative Innovation in Sustainable Maritime Supply Chains

Guangnian Xiao, Zengjie Kuang, Yiping Yu
article en

Abstract

Amid the urgent demands for global trade transformation and zero-carbon transition, sustainable maritime supply chains face challenges of high costs and complex coordination, necessitating the elimination of “isolated decision-making” to achieve sustainable development goals. This study constructs a profit analysis model under centralized and decentralized decision-making scenarios and various intelligent omni-channel models, exploring the profit composition, optimal pricing, and operational strategies of carriers and forwarders. Case analysis validates that collaborative optimization, particularly when forwarders leverage online channels and customer proximity, enables sustainable maritime transport and significantly enhances overall profits and efficiency in sustainable maritime supply chains. This research provides a theoretical and practical framework for collaborative optimization strategies contributing to sustainable maritime transport and port intelligence in marine engineering contexts. By this framework, it will be possible to advance green transformation, smart operations management, and digital innovation in the global maritime and marine industries.

SustainabilityVol. 17(21)
Shanghai Customs College (CN), Shanghai Open University (CN), Shanghai Maritime University (CN)
Openalex Percentile: Top 54%
Maritime Ports and Logistics
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