Green Profit Optimization and Collaborative Innovation in Sustainable Maritime Supply Chains

Yiping Yu, Zengjie Kuang and Guangnian Xiao ()
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Yiping Yu: Department of Formal Education, Shanghai Open University Xuhui Branch, Shanghai 200032, China
Zengjie Kuang: School of Business Administration and Customs Affairs, Shanghai Customs University, Shanghai 201204, China
Guangnian Xiao: School of Economics and Management, Shanghai Maritime University, Shanghai 201306, China

Sustainability, 2025, vol. 17, issue 21, 1-27

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.

Keywords: sustainable maritime transport; marine supply chain; collaborative optimization; maritime logistics; smart operations management (search for similar items in EconPapers)
JEL-codes: O13 Q Q0 Q2 Q3 Q5 Q56 (search for similar items in EconPapers)
Date: 2025
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