Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mohand Lounes, Bentaha"'
Autor:
Antoine, Manceaux, El-Haouzi Hind, Bril, Cherif-Khettaf Wahiba, Ramdane, Mohand Lounes, Bentaha
Publikováno v:
In IFAC PapersOnLine 2016 49(12):515-519
Publikováno v:
Product Lifecycle Management. PLM in Transition Times: The Place of Humans and Transformative Technologies ISBN: 9783031251818
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6b337169238dc9331929bf2a6a17934
https://doi.org/10.1007/978-3-031-25182-5_42
https://doi.org/10.1007/978-3-031-25182-5_42
Publikováno v:
Collaborative Networks in Digitalization and Society 5.0 ISBN: 9783031148439
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::efd8d8df002b3c23466a009ea7dc97aa
https://doi.org/10.1007/978-3-031-14844-6_3
https://doi.org/10.1007/978-3-031-14844-6_3
Publikováno v:
Product Lifecycle Management. Green and Blue Technologies to Support Smart and Sustainable Organizations ISBN: 9783030943349
IFIP 18th International Conference on Product Lifecycle Management, Green & Blue Technologies to support smart and sustainable organizations
IFIP 18th International Conference on Product Lifecycle Management, Green & Blue Technologies to support smart and sustainable organizations, 2021
HAL
IFIP 18th International Conference on Product Lifecycle Management, Green & Blue Technologies to support smart and sustainable organizations
IFIP 18th International Conference on Product Lifecycle Management, Green & Blue Technologies to support smart and sustainable organizations, 2021
HAL
International audience
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e57e2eac59dd0d75c0eb92608889ea01
https://doi.org/10.1007/978-3-030-94335-6_38
https://doi.org/10.1007/978-3-030-94335-6_38
Publikováno v:
Artificial Intelligence for Sustainable and Resilient Production Systems
Artificial Intelligence for Sustainable and Resilient Production Systems, pp.435-443, 2021, ⟨10.1007/978-3-030-85874-2_46⟩
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030858735
APMS (1)
Artificial Intelligence for Sustainable and Resilient Production Systems, pp.435-443, 2021, ⟨10.1007/978-3-030-85874-2_46⟩
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030858735
APMS (1)
International audience; Assembly lines are the most widely used systems for industrial mass production. A main objective in such a system is to ensure a workload balancing among its workstations and optimize it at the operational level. However, this
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::75fe8ecaa869accb50434e6bad4a99e0
https://hal.archives-ouvertes.fr/hal-03334849
https://hal.archives-ouvertes.fr/hal-03334849
Publikováno v:
International Journal of Production Economics
International Journal of Production Economics, Elsevier, 2020, 219, pp.386-401. ⟨10.1016/j.ijpe.2019.07.015⟩
International Journal of Production Economics, Elsevier, 2020, 219, pp.386-401. ⟨10.1016/j.ijpe.2019.07.015⟩
International audience; One of the major sources of uncertainty in disassembly systems is the quality or states of post-consumer products. This paper develops a decision tool for disassembly process planning under variability of the End-of-Life produ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6c758f209351022efecbf5c4aeb5a99e
https://hal.univ-lyon2.fr/hal-02315859/file/S092552731930252X.pdf
https://hal.univ-lyon2.fr/hal-02315859/file/S092552731930252X.pdf
Publikováno v:
Product Lifecycle Management Enabling Smart X ISBN: 9783030628062
PLM
Product Lifecycle Management Enabling Smart X
IFIP PLM 2020: Product Lifecycle Management Enabling Smart X
IFIP PLM 2020: Product Lifecycle Management Enabling Smart X, Jul 2020, Rapperswil, Switzerland. pp.460-472, ⟨10.1007/978-3-030-62807-9_37⟩
PLM
Product Lifecycle Management Enabling Smart X
IFIP PLM 2020: Product Lifecycle Management Enabling Smart X
IFIP PLM 2020: Product Lifecycle Management Enabling Smart X, Jul 2020, Rapperswil, Switzerland. pp.460-472, ⟨10.1007/978-3-030-62807-9_37⟩
The purpose of this work is to efficiently design a disassembly line, as disassembly system, handling variability of End-of-Life (EoL) product quality as well as uncertainty of disassembly process operations and provides an optimal revenue of such a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cb1e3ef96e3dfaf1aae3bc2a53099312
https://doi.org/10.1007/978-3-030-62807-9_37
https://doi.org/10.1007/978-3-030-62807-9_37
Publikováno v:
Journal Européen des Systèmes Automatisés. 49:579-605
This paper adresses the problem of disassembly process planning taking into account the quality or states of the product to be disassembled. We propose an approach which is able to return the best disassembly level for a product considering the disas
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c9b2b4f8d47df7076407a468bf0879ba
https://doi.org/10.3166/jesa.49.579-605
https://doi.org/10.3166/jesa.49.579-605
Publikováno v:
International Journal of Production Research
International Journal of Production Research, Taylor & Francis, 2018, Design for manufacturing and assembly/disassembly: Joint design of products and production systems, 56 (24), pp.7220-7242. ⟨10.1080/00207543.2017.1418987⟩
International Journal of Production Research, Taylor & Francis, 2018, Design for manufacturing and assembly/disassembly: Joint design of products and production systems, 56 (24), pp.7220-7242. ⟨10.1080/00207543.2017.1418987⟩
International audience; This paper addresses the problem of profit-oriented disassembly line design and balancing considering partial disassembly, presence of hazardous parts and uncertainty of task processing times. Few papers have studied the stoch
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::775f64f567ca277a9d2911717de76f2e
https://hal.archives-ouvertes.fr/hal-02059551
https://hal.archives-ouvertes.fr/hal-02059551
Publikováno v:
Computers and Operations Research
Computers and Operations Research, Elsevier, 2014, Volume 51, pp.Pages 111-122. ⟨10.1016/j.cor.2014.05.006⟩
Computers and Operations Research, 2014, 51, pp.111-122. ⟨10.1016/j.cor.2014.05.006⟩
Computers and Operations Research, Elsevier, 2014, 51, pp.111-122. ⟨10.1016/j.cor.2014.05.006⟩
Computers and Operations Research, Elsevier, 2014, Volume 51, pp.Pages 111-122. ⟨10.1016/j.cor.2014.05.006⟩
Computers and Operations Research, 2014, 51, pp.111-122. ⟨10.1016/j.cor.2014.05.006⟩
Computers and Operations Research, Elsevier, 2014, 51, pp.111-122. ⟨10.1016/j.cor.2014.05.006⟩
International audience; This paper considers a Disassembly Line Balancing Problem (DLBP) under uncertainty. Disassembly task times are assumed to be random variables with known probability distributions. To deal with this uncertainty, a stochastic pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f0cf671ec8a2f349de7beb009ee8c6e9
https://doi.org/10.1016/j.cor.2014.05.006
https://doi.org/10.1016/j.cor.2014.05.006