Zobrazeno 1 - 10
of 171
pro vyhledávání: '"Lionel, Amodeo"'
Publikováno v:
Applied Sciences, Vol 13, Iss 10, p 6003 (2023)
In this paper, we are discussing a research project aiming to optimize the scheduling of production orders within a real application in the packaging field. As a first approach, we model the problem as an extended version of the hybrid and flexible f
Externí odkaz:
https://doaj.org/article/1925940244224e3c9fb2ebcb5347e188
Autor:
Ibtissem Chouba, Lionel Amodeo, Taha Arbaoui, Farouk Yalaoui, David Laplanche, Stéphane Sanchez
Publikováno v:
Applied Sciences, Vol 12, Iss 19, p 9498 (2022)
A mismatch between patient demand and emergency departments (EDs)’ capacity to deliver care often leads to poor patient flow and overcrowding, and therefore an increase in waiting. This paper presents a mid-term decision support system dealing with
Externí odkaz:
https://doaj.org/article/079cb4f2b5e243de93795c4f2ff26d74
Publikováno v:
Applied Sciences, Vol 12, Iss 2, p 659 (2022)
In this paper, we study a complex outpatient planning problem in the chemotherapy department. The planning concerns sequences of patients’ treatment sessions subject to exact in-between resting periods (i.e., exact time-lags). The planning is const
Externí odkaz:
https://doaj.org/article/f8a4b09a07684089ad9d9e45500cb6c6
Autor:
Fatima Abderrabi, Matthieu Godichaud, Alice Yalaoui, Farouk Yalaoui, Lionel Amodeo, Ardian Qerimi, Eric Thivet
Publikováno v:
Applied Sciences, Vol 11, Iss 4, p 1504 (2021)
This paper aims to study a real case of an optimization problem derived from a hospital supply chain. The present work focuses on developing operational decision support models and algorithms for production process scheduling in hospital catering. Th
Externí odkaz:
https://doaj.org/article/69706aef7cd64062adf1a543e888e08c
Publikováno v:
IFAC-PapersOnLine. 55:1687-1692
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11e6f0e65bc5f7a72330f0a7eabee619
https://doi.org/10.1016/j.ifacol.2022.09.640
https://doi.org/10.1016/j.ifacol.2022.09.640
Publikováno v:
IFAC-PapersOnLine. 55:901-905
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::630f4049c82a43ccfaff81892f522e25
https://doi.org/10.1016/j.ifacol.2022.09.416
https://doi.org/10.1016/j.ifacol.2022.09.416
Autor:
Sanchez, Ibtissem Chouba, Lionel Amodeo, Taha Arbaoui, Farouk Yalaoui, David Laplanche, Stéphane
Publikováno v:
Applied Sciences; Volume 12; Issue 19; Pages: 9498
A mismatch between patient demand and emergency departments (EDs)’ capacity to deliver care often leads to poor patient flow and overcrowding, and therefore an increase in waiting. This paper presents a mid-term decision support system dealing with
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=multidiscipl::80dee61d9cce315f35818bb6626d4c3a
Publikováno v:
IFAC-Papers
IFAC-PapersOnLine, 2021, 54 (2), pp.127-132. ⟨10.1016/j.ifacol.2021.06.054⟩
IFAC-PapersOnLine, Elsevier, 2021, 54 (2), pp.127-132. ⟨10.1016/j.ifacol.2021.06.054⟩
IFAC-PapersOnLine, 2021, 54 (2), pp.127-132. ⟨10.1016/j.ifacol.2021.06.054⟩
IFAC-PapersOnLine, Elsevier, 2021, 54 (2), pp.127-132. ⟨10.1016/j.ifacol.2021.06.054⟩
Our aim in this study is to propose a novel approach for optimizing a variant of the home health care routing problem, in which the health-care workers perform a requested number of visits to patients by using electric vehicles. Our approach on the o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::901c13b487b245b612ce375aabfffa15
https://doi.org/10.1016/j.ifacol.2021.06.054
https://doi.org/10.1016/j.ifacol.2021.06.054
Publikováno v:
Computers & Operations Research. 149:106018
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ade6651fecf916d9947d0fea318eb927
https://doi.org/10.1016/j.cor.2022.106018
https://doi.org/10.1016/j.cor.2022.106018
Autor:
Lionel Amodeo, Farouk Yalaoui, Hicham Chehade, Alice Berthier, Alice Yalaoui, Christian Bouillot
Publikováno v:
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, pp.81-91, 2021, ⟨10.1007/978-3-030-85874-2_9⟩
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030858735
APMS (1)
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
IFIP International Conference on Advances in Production Management Systems
IFIP International Conference on Advances in Production Management Systems, Sep 2021, Nantes, France. pp.81-91, ⟨10.1007/978-3-030-85874-2_9⟩
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems, pp.81-91, 2021, ⟨10.1007/978-3-030-85874-2_9⟩
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems ISBN: 9783030858735
APMS (1)
Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems
IFIP International Conference on Advances in Production Management Systems
IFIP International Conference on Advances in Production Management Systems, Sep 2021, Nantes, France. pp.81-91, ⟨10.1007/978-3-030-85874-2_9⟩
Part II - Hybrid Approaches for Production Planning and Scheduling; International audience; This study tackles an unrelated parallel machines rescheduling problem. Sequence and machine dependent setup times and limited resources are taken into consid
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a8ac5b7b58f5efc2410dd922b110120
https://hal-utt.archives-ouvertes.fr/hal-03352548
https://hal-utt.archives-ouvertes.fr/hal-03352548
