Mohamed Nazih Omri

Dr. Mohamed Nazih Omri


Research Focus & Metrics

Academic Career Length

28Years (1999-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 2021 in Computer Science Review
Verified
Journal Article
Closed access
LHLeila Helali
Leila Helali
MOMohamed Nazih Omri
Mohamed Nazih Omri

21 March 2022 in Computer Science Review
Verified
Journal Article
Closed access
ISImen Souiden
Imen Souiden
MOMohamed Nazih Omri
Mohamed Nazih Omri
ZBZaki Brahmi
Zaki Brahmi

8 November 2022 in Simulation Modelling Practice and Theory
Verified
Journal Article
Closed access
MMMarwa Mokni
Marwa Mokni
SYSonia Yassa
Sonia Yassa
JHJalel Eddine Hajlaoui
Jalel Eddine Hajlaoui
MOMohamed Nazih Omri
Mohamed Nazih Omri
RCRachid Chelouah
Rachid Chelouah

1 April 2021 in Journal of Ambient Intelligence and Humanized Computing
Verified
Journal Article
Closed access
PDF file
MMMarwa Mokni
Marwa Mokni
SYSonia Yassa
Sonia Yassa
JHJalel Eddine Hajlaoui
Jalel Eddine Hajlaoui
Rachid ChelouahRachid Chelouah
Rachid Chelouah
MOMohamed Nazih Omri
Mohamed Nazih Omri

11 January 2017 in Journal of Advanced Transportation
Verified
Journal Article
Open access
PDF file
MAMaroi Agrebi
Maroi Agrebi
MAMourad Abed
Mourad Abed
MOMohamed Nazih Omri
Mohamed Nazih Omri
The location selection of distribution centers is one of the important strategies to optimize the logistics system. To solve this problem, under certain environment, this paper presents a new multicriteria decision-making method based on ELECTRE I. The proposed method helps decision-makers to select the best location from a given set of locations for implementing. After having identified decision-makers, the criteria, and the set of locations, the factors influencing the selection are analyzed in order to identify the best location. A sensitivity analysis is then performed to determine the influence of criteria weights on the selection decision. The strength of the proposed method is to incorporate decision-makers’ preferences into the decision-making process. In addition, the proposed method considers both quantitative and qualitative criteria. Finally, the selected solution is validated by both tests of concordance and discordance simultaneously. A case study is provided to illustrate the proposed method.

3 October 2022 in Social Network Analysis and Mining
Verified
Journal Article
Closed access
PDF file
SOSarra Ouni
Sarra Ouni
FFFethi Fkih
Fethi Fkih
MOMohamed Nazih Omri
Mohamed Nazih Omri