Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model
Ports are essential nodes in global trade, linking maritime and land transport. As maritime logistics increasingly drive global supply chains, optimizing port operations has become vital for enhancing economic efficiency and environmental sustainability. This study presents a Mixed Integer Linear Pr...
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| Format: | Article |
| Language: | English |
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MDPI AG
2025-01-01
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| Series: | Journal of Marine Science and Engineering |
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| Online Access: | https://www.mdpi.com/2077-1312/13/1/119 |
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| author | Maria Teresa Pereira Nuno Rocha Francisco Gomes Silva Miguel Ângelo Lellis Moreira Yusuf Ozden Altinkaya Marisa João Pereira |
| author_facet | Maria Teresa Pereira Nuno Rocha Francisco Gomes Silva Miguel Ângelo Lellis Moreira Yusuf Ozden Altinkaya Marisa João Pereira |
| author_sort | Maria Teresa Pereira |
| collection | DOAJ |
| description | Ports are essential nodes in global trade, linking maritime and land transport. As maritime logistics increasingly drive global supply chains, optimizing port operations has become vital for enhancing economic efficiency and environmental sustainability. This study presents a Mixed Integer Linear Programming (MILP) model to address inefficiencies in berth allocation and stevedoring processes at the Port of Leixões, Portugal. By integrating real operational data, the model reduces vessel waiting times by 47.56% (from 8.1 to 4.2 h) and operational delays by 37.39% (from 11.5 to 7.2 h). These optimizations also result in a 41.85% reduction in greenhouse gas emissions per ship, aligning with global emissions regulations and promoting sustainable port management. The model’s innovations include real-time data integration and a holistic resource allocation approach to mitigate congestion and inefficiencies. Key findings demonstrate the model’s potential to streamline operations and minimize environmental impacts. These advancements align economic efficiency with environmental sustainability, addressing global emissions regulations. However, the study acknowledges limitations, such as excluding unpredictable factors like weather conditions and equipment failures. Future research should explore dynamic variables, such as weather conditions and mechanical failures, and expand the model’s applicability to other seaports worldwide. |
| format | Article |
| id | doaj-art-b77835be195d4b28894ea590ee1fbb12 |
| institution | Kabale University |
| issn | 2077-1312 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Marine Science and Engineering |
| spelling | doaj-art-b77835be195d4b28894ea590ee1fbb122025-01-24T13:36:55ZengMDPI AGJournal of Marine Science and Engineering2077-13122025-01-0113111910.3390/jmse13010119Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical ModelMaria Teresa Pereira0Nuno Rocha1Francisco Gomes Silva2Miguel Ângelo Lellis Moreira3Yusuf Ozden Altinkaya4Marisa João Pereira5CIDEM, ISEP, Polytechnic of Porto, Rua Dr. Ant. Bernardino de Almeida, 431, 4200-072 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. Ant. Bernardino de Almeida, 431, 4200-072 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. Ant. Bernardino de Almeida, 431, 4200-072 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. Ant. Bernardino de Almeida, 431, 4200-072 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. Ant. Bernardino de Almeida, 431, 4200-072 Porto, PortugalCIDEM, ISEP, Polytechnic of Porto, Rua Dr. Ant. Bernardino de Almeida, 431, 4200-072 Porto, PortugalPorts are essential nodes in global trade, linking maritime and land transport. As maritime logistics increasingly drive global supply chains, optimizing port operations has become vital for enhancing economic efficiency and environmental sustainability. This study presents a Mixed Integer Linear Programming (MILP) model to address inefficiencies in berth allocation and stevedoring processes at the Port of Leixões, Portugal. By integrating real operational data, the model reduces vessel waiting times by 47.56% (from 8.1 to 4.2 h) and operational delays by 37.39% (from 11.5 to 7.2 h). These optimizations also result in a 41.85% reduction in greenhouse gas emissions per ship, aligning with global emissions regulations and promoting sustainable port management. The model’s innovations include real-time data integration and a holistic resource allocation approach to mitigate congestion and inefficiencies. Key findings demonstrate the model’s potential to streamline operations and minimize environmental impacts. These advancements align economic efficiency with environmental sustainability, addressing global emissions regulations. However, the study acknowledges limitations, such as excluding unpredictable factors like weather conditions and equipment failures. Future research should explore dynamic variables, such as weather conditions and mechanical failures, and expand the model’s applicability to other seaports worldwide.https://www.mdpi.com/2077-1312/13/1/119logisticscontainer terminal operationssustainabilityberth allocation problemmathematical programmingseaport operations |
| spellingShingle | Maria Teresa Pereira Nuno Rocha Francisco Gomes Silva Miguel Ângelo Lellis Moreira Yusuf Ozden Altinkaya Marisa João Pereira Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model Journal of Marine Science and Engineering logistics container terminal operations sustainability berth allocation problem mathematical programming seaport operations |
| title | Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model |
| title_full | Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model |
| title_fullStr | Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model |
| title_full_unstemmed | Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model |
| title_short | Process Optimization in Sea Ports: Integrating Sustainability and Efficiency Through a Novel Mathematical Model |
| title_sort | process optimization in sea ports integrating sustainability and efficiency through a novel mathematical model |
| topic | logistics container terminal operations sustainability berth allocation problem mathematical programming seaport operations |
| url | https://www.mdpi.com/2077-1312/13/1/119 |
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