A study on multiple types of yard cranes rescheduling in ports considering carbon emission

ABSTRACT

This paper investigates the rescheduling problem of multiple oil-driven and electric-driven yard cranes across multiple container yards in semi-automated container terminals under random faults. Efficient fault diagnosis and handling mechanisms are provided to mitigate the effects of faults on the performance of yard operations. At the same time, a rescheduling model is proposed, aiming to minimize weighted carbon emissions and completion time. By analyzing the features of the problem, a tailored adaptive large neighborhood search (ALNS) algorithm is designed to solve the model. The effectiveness of the ALNS is verified through problem instances generated from the operational data of the port of Dalian in China. The factors considered in this paper are relevant to actual port operations, thus offering reliable solutions for scheduling and greening of ports.

KEYWORDS:

• Port operations
• yard crane scheduling
• random faults
• adaptive large neighborhood search
• carbon emission
• China

Acknowledgments

The authors acknowledge the financial support the 111 Project of China (B20082), the National Natural Science Foundation of China (72174035, 72301051, UICR0600041), the Fundamental Research Funds for the Central Universities (3132024160), National High-end Foreign Experts Recruitment Plan of China (G2023193005L) and China Scholarship Council (CXXM2309210057), BNU-HKBU United International College Research Funds (R72021201), and CCAPPTIA (www. ccapptia.com). Dalian Maritime Shipping Program.

Disclosure statement

No potential conflict of interest was reported by the author(s).