Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements
The strategic optimization of a container terminal’s quayside assets, including the berth and quay cranes, is crucial for maximizing their deployment and utilization. The interrelated and complex challenges of Berth Allocation (BAP) and Quay Crane Scheduling (QCSP) are fundamental to enhancing the r...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
MDPI AG
2025-01-01
|
| Series: | Applied Sciences |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2076-3417/15/2/660 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1832589244899524608 |
|---|---|
| author | Siwei Li Liying Song |
| author_facet | Siwei Li Liying Song |
| author_sort | Siwei Li |
| collection | DOAJ |
| description | The strategic optimization of a container terminal’s quayside assets, including the berth and quay cranes, is crucial for maximizing their deployment and utilization. The interrelated and complex challenges of Berth Allocation (BAP) and Quay Crane Scheduling (QCSP) are fundamental to enhancing the resilience of container ports, as berths and quay cranes constitute essential infrastructure. Efficient berth allocation and quay crane scheduling can mitigate operational disruptions, even in the face of maintenance or failures, thereby improving both operational reliability and resilience. However, previous studies have often overlooked the uncertainty associated with quay crane maintenance when planning these operations. This paper aims to minimize vessel turnaround time by accounting for the uncertain in quay crane maintenance activities. To address this novel problem, we propose a proactive-reactive method that incorporates a reliability-based model into the Swarm Optimization with Differential Evolution (SWO-DE) algorithm. Computational results confirm the practical relevance and effectiveness of our proposed solution methods for container terminals. |
| format | Article |
| id | doaj-art-29f850c74a494fa7965c6b8485ce46d2 |
| institution | Kabale University |
| issn | 2076-3417 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj-art-29f850c74a494fa7965c6b8485ce46d22025-01-24T13:20:20ZengMDPI AGApplied Sciences2076-34172025-01-0115266010.3390/app15020660Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance RequirementsSiwei Li0Liying Song1China Transportation Research Center, School of Transportation, Beijing Jiaotong University, Beijing 100044, ChinaChina Transportation Research Center, School of Transportation, Beijing Jiaotong University, Beijing 100044, ChinaThe strategic optimization of a container terminal’s quayside assets, including the berth and quay cranes, is crucial for maximizing their deployment and utilization. The interrelated and complex challenges of Berth Allocation (BAP) and Quay Crane Scheduling (QCSP) are fundamental to enhancing the resilience of container ports, as berths and quay cranes constitute essential infrastructure. Efficient berth allocation and quay crane scheduling can mitigate operational disruptions, even in the face of maintenance or failures, thereby improving both operational reliability and resilience. However, previous studies have often overlooked the uncertainty associated with quay crane maintenance when planning these operations. This paper aims to minimize vessel turnaround time by accounting for the uncertain in quay crane maintenance activities. To address this novel problem, we propose a proactive-reactive method that incorporates a reliability-based model into the Swarm Optimization with Differential Evolution (SWO-DE) algorithm. Computational results confirm the practical relevance and effectiveness of our proposed solution methods for container terminals.https://www.mdpi.com/2076-3417/15/2/660berth allocationquay crane assignmentresiliencemaintenance activitiesbi-level programming |
| spellingShingle | Siwei Li Liying Song Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements Applied Sciences berth allocation quay crane assignment resilience maintenance activities bi-level programming |
| title | Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements |
| title_full | Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements |
| title_fullStr | Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements |
| title_full_unstemmed | Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements |
| title_short | Berth Allocation and Quay Crane Assignment Considering the Uncertain Maintenance Requirements |
| title_sort | berth allocation and quay crane assignment considering the uncertain maintenance requirements |
| topic | berth allocation quay crane assignment resilience maintenance activities bi-level programming |
| url | https://www.mdpi.com/2076-3417/15/2/660 |
| work_keys_str_mv | AT siweili berthallocationandquaycraneassignmentconsideringtheuncertainmaintenancerequirements AT liyingsong berthallocationandquaycraneassignmentconsideringtheuncertainmaintenancerequirements |