A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain
This paper proposes a matheuristic approach for the location-routing of industrial platforms of the pineapple supply chain problem. We have proposed a three-phase methodology to solve the considered problem. The first phase consists of obtaining the potential supply in terms of suitability...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2024-01-01
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| Series: | Decision Science Letters |
| Online Access: | http://www.growingscience.com/dsl/Vol13/dsl_2023_67.pdf |
| _version_ | 1797248773280235520 |
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| author | uan Sebastian Arbelaez Torres Daniel Mauricio Rodriguez Paloma Gustavo Gatica David Álvarez-Martínez John Willmer Escoba |
| author_facet | uan Sebastian Arbelaez Torres Daniel Mauricio Rodriguez Paloma Gustavo Gatica David Álvarez-Martínez John Willmer Escoba |
| author_sort | uan Sebastian Arbelaez Torres |
| collection | DOAJ |
| description | This paper proposes a matheuristic approach for the location-routing of industrial platforms of the pineapple supply chain problem. We have proposed a three-phase methodology to solve the considered problem. The first phase consists of obtaining the potential supply in terms of suitability and productivity, the potential location of platforms, and the times of the value chain echelons. In the second phase, a mathematical optimization model for the location problem of platforms considering the coverage in terms of timing is proposed. Finally, the final phase proposes a cluster-routing and a granular reactive tabu search approach for the routing phase. The proposed methodology uses official information on production times, speed, and capacity and georeferenced aptitude, spatial, economic, and land yield information for the first time. The proposed approach has been validated through scenarios, particularly pineapple exports for the Colombian country. The obtained results show the efficiency of the proposed approach. |
| first_indexed | 2024-04-24T20:19:55Z |
| format | Article |
| id | doaj.art-c743d047187b4a848c75714767e989c1 |
| institution | Directory Open Access Journal |
| issn | 1929-5804 1929-5812 |
| language | English |
| last_indexed | 2024-04-24T20:19:55Z |
| publishDate | 2024-01-01 |
| publisher | Growing Science |
| record_format | Article |
| series | Decision Science Letters |
| spelling | doaj.art-c743d047187b4a848c75714767e989c12024-03-22T08:54:27ZengGrowing ScienceDecision Science Letters1929-58041929-58122024-01-0113248349810.5267/j.dsl.2023.12.008A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chainuan Sebastian Arbelaez TorresDaniel Mauricio Rodriguez PalomaGustavo GaticaDavid Álvarez-MartínezJohn Willmer Escoba This paper proposes a matheuristic approach for the location-routing of industrial platforms of the pineapple supply chain problem. We have proposed a three-phase methodology to solve the considered problem. The first phase consists of obtaining the potential supply in terms of suitability and productivity, the potential location of platforms, and the times of the value chain echelons. In the second phase, a mathematical optimization model for the location problem of platforms considering the coverage in terms of timing is proposed. Finally, the final phase proposes a cluster-routing and a granular reactive tabu search approach for the routing phase. The proposed methodology uses official information on production times, speed, and capacity and georeferenced aptitude, spatial, economic, and land yield information for the first time. The proposed approach has been validated through scenarios, particularly pineapple exports for the Colombian country. The obtained results show the efficiency of the proposed approach.http://www.growingscience.com/dsl/Vol13/dsl_2023_67.pdf |
| spellingShingle | uan Sebastian Arbelaez Torres Daniel Mauricio Rodriguez Paloma Gustavo Gatica David Álvarez-Martínez John Willmer Escoba A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain Decision Science Letters |
| title | A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain |
| title_full | A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain |
| title_fullStr | A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain |
| title_full_unstemmed | A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain |
| title_short | A hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain |
| title_sort | hybrid matheuristic approach for the integrated location routing problem of the pineapple supply chain |
| url | http://www.growingscience.com/dsl/Vol13/dsl_2023_67.pdf |
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