Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Kaoutar Douaioui"'
Publikováno v:
Applied Sciences, Vol 14, Iss 16, p 7151 (2024)
This paper presents an optimization approach for supply chain management that incorporates goal programming (GP), dependent chance constraints (DCC), and the hunger games search algorithm (HGSA). The model acknowledges uncertainty by embedding uncert
Externí odkaz:
https://doaj.org/article/8d33577dcf5f4df78b5e69b68cdc022b
Autor:
Kaoutar Douaioui, Othmane Benmoussa
Publikováno v:
Big Data and Cognitive Computing, Vol 8, Iss 6, p 62 (2024)
Blockchain technology is expected to have a radical impact on most industries by boosting security, transparency, and efficiency. This work considers the potential benefits of blockchain-focused applications in industrial process monitoring. The rese
Externí odkaz:
https://doaj.org/article/08cc55b7678344c8942606a1fb18593c
Publikováno v:
International Journal of Supply and Operations Management, Vol 8, Iss 3, Pp 328-346 (2021)
The complexity of managing the port container terminals brings up many challenges in evaluating the global performance, so managers use the Multiple-criteria decision-making (MCDM) to assess the global performance but most of the methods are based in
Externí odkaz:
https://doaj.org/article/80d693529ff747adacda1470808f0960
Publikováno v:
Journal of Computer Science. 17:1196-1209
Publikováno v:
Pomorstvo
Volume 34
Issue 2
Volume 34
Issue 2
This work intends to integrate artificial neural network (ANN) and data envelopment analysis (DEA) in a single framework to evaluate the performance of operations in the container terminal. The proposed framework is based on three steps. In the first
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906382
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c98502f0bbe07e3b696433ab54cfdd85
https://doi.org/10.1007/978-3-030-90639-9_83
https://doi.org/10.1007/978-3-030-90639-9_83
Publikováno v:
Advanced Intelligent Systems for Sustainable Development (AI2SD’2020) ISBN: 9783030906320
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::650b2bd53675280e3ea9adfbd0b56c0c
https://doi.org/10.1007/978-3-030-90633-7_93
https://doi.org/10.1007/978-3-030-90633-7_93
Publikováno v:
Lecture Notes in Mechanical Engineering ISBN: 9783030621988
This study aims to provide a decision support to port managers in order to evaluate and benchmark performance measurement systems. The decision support can assess the judgment of decision-makers, analyses the sensitivity and the robustness of perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0805ef3457cb3432e49264b3fc1931f9
https://doi.org/10.1007/978-3-030-62199-5_32
https://doi.org/10.1007/978-3-030-62199-5_32
Autor:
Charif Mabrouki, Mouhsene Fri, Nabil Lamii, Kaoutar Douaioui, Fatimazahra Bentaleb, El Alami Semma
Publikováno v:
Transactions on Maritime Science
Volume 09
Issue 02
Volume 09
Issue 02
Dry port plays an important role in supply chain management and mitigates seaport problems. The aim of this paper is to review the dry port concept over the different phases. Today there are different types of dry ports, different interpretations on
Publikováno v:
Embedded Systems and Artificial Intelligence ISBN: 9789811509469
This work intends to integrate feedforward neural network (FNN) and data envelopment analysis (DEA) in a single framework to evaluate the performance of operations in the port container terminal. The proposed framework is based on three steps. In the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c3abbf55a2eb33ecdfad69df12401817
https://doi.org/10.1007/978-981-15-0947-6_49
https://doi.org/10.1007/978-981-15-0947-6_49