A general variable neighbourhood search for the multi-product inventory routing problem
| Autor: | Bassem Jarboui, Jelena Mladenović, Anis Mjirda, Christophe Wilbaut, Saïd Hanafi |
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| Přispěvatelé: | Université de Sfax - University of Sfax, Université de Bordeaux (UB), Laboratoire d'Automatique, de Mécanique et d'Informatique industrielles et Humaines - UMR 8201 (LAMIH), Université de Valenciennes et du Hainaut-Cambrésis (UVHC)-Centre National de la Recherche Scientifique (CNRS)-INSA Institut National des Sciences Appliquées Hauts-de-France (INSA Hauts-De-France) |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Inventory routing problem
Mathematical optimization 021103 operations research Computer science Applied Mathematics Strategy and Management 0211 other engineering and technologies 02 engineering and technology Management Science and Operations Research Neighbourhood search Multi product Management Information Systems Variable (computer science) Modeling and Simulation 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing [INFO]Computer Science [cs] General Economics Econometrics and Finance |
| Zdroj: | IMA Journal of Management Mathematics IMA Journal of Management Mathematics, Oxford University Press (OUP), 2016, 27 (1), pp.39-54. ⟨10.1093/imaman/dpu020⟩ |
| ISSN: | 1471-678X 1471-6798 |
| DOI: | 10.1093/imaman/dpu020⟩ |
| Popis: | International audience; The inventory routing problem (IRP) deals with the study of the inter-relationship between two important activities in the supply chain: transportation of commodities and inventory management. In this paper, we study a variant of the multi-product IRP and we propose a general variable neighbourhood search metaheuristic for solving it. We present several neighbourhood structures based on the movement of quantities between routes and periods. Computational experiments show the efficiency of the proposed metaheuristic when compared with the state-of-the-art based on variable neighbourhood search. |
| Databáze: | OpenAIRE |
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