Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method
Stowage planning involves distributing cargo on board a ship, including quantity, weight, and destination details. It consists of collecting cargo manifest data, planning cargo location on decks, and calculating stability until the vessel is declared safe for sailing. Finding the ideal solution to...
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| Format: | Article |
| Language: | English |
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Universitas Nusantara PGRI Kediri
2023-08-01
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| Series: | Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi |
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| Online Access: | https://ojs.unpkediri.ac.id/index.php/intensif/article/view/20562 |
| _version_ | 1797753816135761920 |
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| author | Fajar Astuti Hermawati Jalu Prasetya Mulya |
| author_facet | Fajar Astuti Hermawati Jalu Prasetya Mulya |
| author_sort | Fajar Astuti Hermawati |
| collection | DOAJ |
| description |
Stowage planning involves distributing cargo on board a ship, including quantity, weight, and destination details. It consists of collecting cargo manifest data, planning cargo location on decks, and calculating stability until the vessel is declared safe for sailing. Finding the ideal solution to real-world situations in this stowage planning problem is challenging and frequently requires a very long computing period. The Particle Swarm Optimization (PSO) algorithm is one of the evolutionary algorithms known for its efficient performance. PSO has been extended to complex optimization problems due to its fast convergence and easy implementation. In this study, the Particle Swarm Optimization (PSO) method is implemented to automate stowage arrangements on ships considering three factors (width, length, and weight of the vehicle). This system was evaluated with KMP Legundi vehicle manifest data and four load cases of 12 different vehicle types that can be loaded on Ferry / Ro-Ro Ships. It provides complete vehicle layouts and allows interactive changes for stowage planners, ensuring speed and accuracy in arranging ship cargo.
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| first_indexed | 2024-03-12T17:24:22Z |
| format | Article |
| id | doaj.art-571529303df042929bb32ac928aed48b |
| institution | Directory Open Access Journal |
| issn | 2580-409X 2549-6824 |
| language | English |
| last_indexed | 2024-03-12T17:24:22Z |
| publishDate | 2023-08-01 |
| publisher | Universitas Nusantara PGRI Kediri |
| record_format | Article |
| series | Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi |
| spelling | doaj.art-571529303df042929bb32ac928aed48b2023-08-05T12:02:05ZengUniversitas Nusantara PGRI KediriIntensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi2580-409X2549-68242023-08-017210.29407/intensif.v7i2.20562Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization MethodFajar Astuti Hermawati0Jalu Prasetya Mulya1Universitas 17 Agustus 1945 SurabayaUniversitas 17 Agustus 1945 Surabaya Stowage planning involves distributing cargo on board a ship, including quantity, weight, and destination details. It consists of collecting cargo manifest data, planning cargo location on decks, and calculating stability until the vessel is declared safe for sailing. Finding the ideal solution to real-world situations in this stowage planning problem is challenging and frequently requires a very long computing period. The Particle Swarm Optimization (PSO) algorithm is one of the evolutionary algorithms known for its efficient performance. PSO has been extended to complex optimization problems due to its fast convergence and easy implementation. In this study, the Particle Swarm Optimization (PSO) method is implemented to automate stowage arrangements on ships considering three factors (width, length, and weight of the vehicle). This system was evaluated with KMP Legundi vehicle manifest data and four load cases of 12 different vehicle types that can be loaded on Ferry / Ro-Ro Ships. It provides complete vehicle layouts and allows interactive changes for stowage planners, ensuring speed and accuracy in arranging ship cargo. https://ojs.unpkediri.ac.id/index.php/intensif/article/view/20562Stowage PlanningParticle Swarm Optimization MethodLoad Optimization |
| spellingShingle | Fajar Astuti Hermawati Jalu Prasetya Mulya Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method Intensif: Jurnal Ilmiah Penelitian Teknologi dan Penerapan Sistem Informasi Stowage Planning Particle Swarm Optimization Method Load Optimization |
| title | Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method |
| title_full | Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method |
| title_fullStr | Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method |
| title_full_unstemmed | Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method |
| title_short | Stowage Planning System for Ferry Ro-Ro Ships Using Particle Swarm Optimization Method |
| title_sort | stowage planning system for ferry ro ro ships using particle swarm optimization method |
| topic | Stowage Planning Particle Swarm Optimization Method Load Optimization |
| url | https://ojs.unpkediri.ac.id/index.php/intensif/article/view/20562 |
| work_keys_str_mv | AT fajarastutihermawati stowageplanningsystemforferryroroshipsusingparticleswarmoptimizationmethod AT jaluprasetyamulya stowageplanningsystemforferryroroshipsusingparticleswarmoptimizationmethod |