Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI
In the realm of supply chain management, the integration of sustainable practices alongside competitive efficiency is increasingly crucial. This study explores the convergence of cross-docking methodologies with advanced technologies such as IoT and AI to enhance the sustainability of supply chains....
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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_00072.pdf |
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| author | Raziq Ayoub El Khaili Mohamed Zamma Abdellah |
| author_facet | Raziq Ayoub El Khaili Mohamed Zamma Abdellah |
| author_sort | Raziq Ayoub |
| collection | DOAJ |
| description | In the realm of supply chain management, the integration of sustainable practices alongside competitive efficiency is increasingly crucial. This study explores the convergence of cross-docking methodologies with advanced technologies such as IoT and AI to enhance the sustainability of supply chains. Cross-docking, known for its direct transfer approach, minimizes storage duration and operational costs, potentially reducing environmental footprints associated with traditional logistics. Concurrently, IoT enables real-time monitoring of goods and environmental parameters, while AI-driven analytics optimize logistics operations with precision. This integrated approach not only enhances operational efficiency but also underscores the pivotal role of technological innovation in fostering sustainable supply chain practices. Insights from this study contribute to advancing sustainable logistics strategies tailored to contemporary environmental imperatives and industrial competitiveness. |
| format | Article |
| id | doaj-art-e80909954f3b49acbee2426455666fb1 |
| 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-e80909954f3b49acbee2426455666fb12025-02-05T10:46:25ZengEDP SciencesE3S Web of Conferences2267-12422025-01-016010007210.1051/e3sconf/202560100072e3sconf_icegc2024_00072Enhancing Crossdocking for a Green Supply Chain Based on IoT and AIRaziq Ayoub0El Khaili Mohamed1Zamma Abdellah2IESI Laboratory, ENSET Mohammedia, Hassan II University of CasablancaIESI Laboratory, ENSET Mohammedia, Hassan II University of CasablancaM2S2I Laboratory, ENSET Mohammedia, Hassan II University of CasablancaIn the realm of supply chain management, the integration of sustainable practices alongside competitive efficiency is increasingly crucial. This study explores the convergence of cross-docking methodologies with advanced technologies such as IoT and AI to enhance the sustainability of supply chains. Cross-docking, known for its direct transfer approach, minimizes storage duration and operational costs, potentially reducing environmental footprints associated with traditional logistics. Concurrently, IoT enables real-time monitoring of goods and environmental parameters, while AI-driven analytics optimize logistics operations with precision. This integrated approach not only enhances operational efficiency but also underscores the pivotal role of technological innovation in fostering sustainable supply chain practices. Insights from this study contribute to advancing sustainable logistics strategies tailored to contemporary environmental imperatives and industrial competitiveness.https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00072.pdf |
| spellingShingle | Raziq Ayoub El Khaili Mohamed Zamma Abdellah Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI E3S Web of Conferences |
| title | Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI |
| title_full | Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI |
| title_fullStr | Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI |
| title_full_unstemmed | Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI |
| title_short | Enhancing Crossdocking for a Green Supply Chain Based on IoT and AI |
| title_sort | enhancing crossdocking for a green supply chain based on iot and ai |
| url | https://www.e3s-conferences.org/articles/e3sconf/pdf/2025/01/e3sconf_icegc2024_00072.pdf |
| work_keys_str_mv | AT raziqayoub enhancingcrossdockingforagreensupplychainbasedoniotandai AT elkhailimohamed enhancingcrossdockingforagreensupplychainbasedoniotandai AT zammaabdellah enhancingcrossdockingforagreensupplychainbasedoniotandai |