Space Optimization for Raw Material Transportation: Reducing Environmental Impact
In today’s industrial landscape, adhering to lean manufacturing principles and achieving operational excellence is increasingly vital due to rising competition. Eliminating waste, or Muda is essential for attaining a high level of lean manufacturing. One significant area for improvement is space opt...
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| Format: | Article |
| Language: | English |
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EDP Sciences
2025-01-01
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| Series: | E3S Web of Conferences |
| Online Access: | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00036.pdf |
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| _version_ | 1832098623341461504 |
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| author | Taraa Chaymae Ezzine Latifa Dadda Afaf Elallouli Ikram Ayyadi Aya Elmoussami Haj |
| author_facet | Taraa Chaymae Ezzine Latifa Dadda Afaf Elallouli Ikram Ayyadi Aya Elmoussami Haj |
| author_sort | Taraa Chaymae |
| collection | DOAJ |
| description | In today’s industrial landscape, adhering to lean manufacturing principles and achieving operational excellence is increasingly vital due to rising competition. Eliminating waste, or Muda is essential for attaining a high level of lean manufacturing. One significant area for improvement is space optimization, which can be applied to production areas and logistic warehouses on a macroeconomic scale, or to trucks and pallets on a microeconomic scale. This study focuses on optimising truck space for the transportation of raw materials. An in-depth analysis of heuristics and metaheuristics methods was conducted to select the most suitable approach for this context. The chosen metaheuristic was then tailored in terms of parameters and design for this specific application. Simulation results indicate the optimal number of trucks required to meet demand and provide a 3D layout for storing raw material-filled boxes on pallets and pallets in trucks. The proposed solution is versatile and can be adapted for various storage optimization challenges within a given space. |
| format | Article |
| id | doaj-art-9562420ad96546188c57b70049bd86b3 |
| institution | Kabale University |
| issn | 2267-1242 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | E3S Web of Conferences |
| spelling | doaj-art-9562420ad96546188c57b70049bd86b32025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010003610.1051/e3sconf/202560100036e3sconf_icegc2024_00036Space Optimization for Raw Material Transportation: Reducing Environmental ImpactTaraa Chaymae0Ezzine Latifa1Dadda Afaf2Elallouli Ikram3Ayyadi Aya4Elmoussami Haj5ENSAM school, Engineering of complex systems and structuresENSAM school, Engineering of complex systems and structuresENSAM school, Engineering of complex systems and structuresENSAM school, Engineering of complex systems and structuresENSAM school, Engineering of complex systems and structuresENSAM school, Engineering of complex systems and structuresIn today’s industrial landscape, adhering to lean manufacturing principles and achieving operational excellence is increasingly vital due to rising competition. Eliminating waste, or Muda is essential for attaining a high level of lean manufacturing. One significant area for improvement is space optimization, which can be applied to production areas and logistic warehouses on a macroeconomic scale, or to trucks and pallets on a microeconomic scale. This study focuses on optimising truck space for the transportation of raw materials. An in-depth analysis of heuristics and metaheuristics methods was conducted to select the most suitable approach for this context. The chosen metaheuristic was then tailored in terms of parameters and design for this specific application. Simulation results indicate the optimal number of trucks required to meet demand and provide a 3D layout for storing raw material-filled boxes on pallets and pallets in trucks. The proposed solution is versatile and can be adapted for various storage optimization challenges within a given space.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00036.pdf |
| spellingShingle | Taraa Chaymae Ezzine Latifa Dadda Afaf Elallouli Ikram Ayyadi Aya Elmoussami Haj Space Optimization for Raw Material Transportation: Reducing Environmental Impact E3S Web of Conferences |
| title | Space Optimization for Raw Material Transportation: Reducing Environmental Impact |
| title_full | Space Optimization for Raw Material Transportation: Reducing Environmental Impact |
| title_fullStr | Space Optimization for Raw Material Transportation: Reducing Environmental Impact |
| title_full_unstemmed | Space Optimization for Raw Material Transportation: Reducing Environmental Impact |
| title_short | Space Optimization for Raw Material Transportation: Reducing Environmental Impact |
| title_sort | space optimization for raw material transportation reducing environmental impact |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00036.pdf |
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