Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes
Loading and unloading activities generate nearly fifty per cent of the total cost in port. The loading and unloading process of the container at the port is considered as a complex process since it involves several interrelated components, such as ships, cranes, and trucks. The uncertainty of these...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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EDP Sciences
2020-01-01
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| Series: | International Journal for Simulation and Multidisciplinary Design Optimization |
| Subjects: | |
| Online Access: | https://www.ijsmdo.org/articles/smdo/full_html/2020/01/smdo200006/smdo200006.html |
| _version_ | 1818585516244729856 |
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| author | Ramadhan Fadillah Imran Arif Rizana Afrin Fauzya Okdinawati Liane |
| author_facet | Ramadhan Fadillah Imran Arif Rizana Afrin Fauzya Okdinawati Liane |
| author_sort | Ramadhan Fadillah |
| collection | DOAJ |
| description | Loading and unloading activities generate nearly fifty per cent of the total cost in port. The loading and unloading process of the container at the port is considered as a complex process since it involves several interrelated components, such as ships, cranes, and trucks. The uncertainty of these component activities might impact the loading and unloading time and cost. Agent-based modelling and simulation (ABMS) approach is a method for analyzing and modelling a complex system. This study aims to simulate the unloading process to determine a strategy to reduces unloading process time in the largest port in Indonesian using ABMS approach. The results show that the agent-based simulation approach is feasible to be applied in port activities. This approach can assist decision-makers in predicting the number of facilities that must be used to minimize processing time. |
| first_indexed | 2024-12-16T08:38:19Z |
| format | Article |
| id | doaj.art-f027dceaa7754052921067c758928bfd |
| institution | Directory Open Access Journal |
| issn | 1779-6288 |
| language | English |
| last_indexed | 2024-12-16T08:38:19Z |
| publishDate | 2020-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | International Journal for Simulation and Multidisciplinary Design Optimization |
| spelling | doaj.art-f027dceaa7754052921067c758928bfd2022-12-21T22:37:44ZengEDP SciencesInternational Journal for Simulation and Multidisciplinary Design Optimization1779-62882020-01-01111310.1051/smdo/2020009smdo200006Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranesRamadhan Fadillah0https://orcid.org/0000-0003-1728-4460Imran Arif1https://orcid.org/0000-0001-8867-4138Rizana Afrin Fauzya2Okdinawati Liane3Institut Teknologi Nasional Bandung, Department of Industrial EngineeringInstitut Teknologi Nasional Bandung, Department of Industrial EngineeringTelkom University, Department of Industrial EngineeringBandung Institute of Technology, School of Business and ManagementLoading and unloading activities generate nearly fifty per cent of the total cost in port. The loading and unloading process of the container at the port is considered as a complex process since it involves several interrelated components, such as ships, cranes, and trucks. The uncertainty of these component activities might impact the loading and unloading time and cost. Agent-based modelling and simulation (ABMS) approach is a method for analyzing and modelling a complex system. This study aims to simulate the unloading process to determine a strategy to reduces unloading process time in the largest port in Indonesian using ABMS approach. The results show that the agent-based simulation approach is feasible to be applied in port activities. This approach can assist decision-makers in predicting the number of facilities that must be used to minimize processing time.https://www.ijsmdo.org/articles/smdo/full_html/2020/01/smdo200006/smdo200006.htmlagent-basedcomplex systemlogisticssimulationunloading processes |
| spellingShingle | Ramadhan Fadillah Imran Arif Rizana Afrin Fauzya Okdinawati Liane Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes International Journal for Simulation and Multidisciplinary Design Optimization agent-based complex system logistics simulation unloading processes |
| title | Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes |
| title_full | Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes |
| title_fullStr | Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes |
| title_full_unstemmed | Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes |
| title_short | Agent-based modelling and simulation for ship unloading processes: determining the number of trucks and container cranes |
| title_sort | agent based modelling and simulation for ship unloading processes determining the number of trucks and container cranes |
| topic | agent-based complex system logistics simulation unloading processes |
| url | https://www.ijsmdo.org/articles/smdo/full_html/2020/01/smdo200006/smdo200006.html |
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