A model for an assembly system under lead time uncertainty
| Autor: | M. A. Louly, Alexandre Dolgui, S.S. Chauhan, Jean-Marie Proth |
|---|---|
| Přispěvatelé: | Laboratoire en Sciences et Technologies de l'Information, Département Méthodes Scientifiques pour la Gestion Industrielle (MSGI-ENSMSE), École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre G2I-École des Mines de Saint-Étienne (Mines Saint-Étienne MSE), Institut Mines-Télécom [Paris] (IMT)-Institut Mines-Télécom [Paris] (IMT)-Centre G2I, Laboratoire d'Optimisation des Systèmes Industriels (LOSI), Institut Charles Delaunay (ICD), Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS)-Université de Technologie de Troyes (UTT)-Centre National de la Recherche Scientifique (CNRS), A. Dolgui, G. Morel, C. Pereira |
| Předmět: |
0209 industrial biotechnology
Engineering Mathematical optimization 021103 operations research business.industry Real-time computing 0211 other engineering and technologies 02 engineering and technology [INFO.INFO-RO]Computer Science [cs]/Operations Research [cs.RO] Product (business) 020901 industrial engineering & automation Lead (geology) Supply planning Component (UML) Key (cryptography) business Lead time |
| Zdroj: | Scopus-Elsevier Information Control Problems In Manufacturing 2006 : Information Control Problems In Manufacturing 2006 : A Proceedings volume from the 12th IFAC international Symposium 12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM'06) 12th IFAC Symposium on Information Control Problems in Manufacturing (INCOM'06), May 2006, Saint-Etienne, France. pp.239-244, ISBN : 978-0-08-044654-7, ⟨10.3182/20060517-3-FR-2903.00136⟩ |
| Popis: | International audience; This paper studies a customized product assembly scenario where some of components cannot be stocked due to high component cost and risk. These key components are ordered after a demand has been registered with promised delivery date. Components lead times are stochastic and associated distribution function is known in advance. The objective is to find the ordering date for each component minimizing the expected holding and backlogging costs. An approach is proposed. |
| Databáze: | OpenAIRE |
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