Mohamed Zied BABAI

Mohamed Zied BABAI

KEDGE Business School

H-index: 36

Europe-France

About Mohamed Zied BABAI

Mohamed Zied BABAI, With an exceptional h-index of 36 and a recent h-index of 32 (since 2020), a distinguished researcher at KEDGE Business School, specializes in the field of Sales forecasting, Inventory management, Stochastic modelling.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Machine Learning Model for Accurate Credit Risk Forecasting in Banking Systems: An Empirical Investigation

Exploring servitization and digital transformation of manufacturing enterprises: Evidence from an industrial internet platform in China

Performance evaluation of a two-echelon inventory system with network lost sales

Global multi-sourcing network design with inventory planning under uncertainty

A hybrid LSTM method for forecasting demands of medical items in humanitarian operations

Optimal ordering quantity under stochastic time-dependent price and demand with a supply disruption: A solution based on the change of measure technique

Basket data-driven approach for omnichannel demand forecasting

Multi-criteria decision-making for collaborative COVID-19 surge management and inter-hospital patients’ transfer optimisation

Mohamed Zied BABAI Information

University

Position

___

Citations(all)

4849

Citations(since 2020)

3344

Cited By

2698

hIndex(all)

36

hIndex(since 2020)

32

i10Index(all)

64

i10Index(since 2020)

60

Email

University Profile Page

KEDGE Business School

Google Scholar

View Google Scholar Profile

Mohamed Zied BABAI Skills & Research Interests

Sales forecasting

Inventory management

Stochastic modelling

Top articles of Mohamed Zied BABAI

Title

Journal

Author(s)

Publication Date

A Machine Learning Model for Accurate Credit Risk Forecasting in Banking Systems: An Empirical Investigation

International Journal of Supply and Operations Management

Marwa HASNI

Mohamed Salah AGUIR

Mohamed Zied Babai

Zied JEMAI

2024/1/29

Exploring servitization and digital transformation of manufacturing enterprises: Evidence from an industrial internet platform in China

International Journal of Production Research

Yi Liu

Justin Zuopeng Zhang

Sajjad Jasimuddin

M Zied Babai

2024/4/17

Performance evaluation of a two-echelon inventory system with network lost sales

European Journal of Operational Research

Chaaben Kouki

Joachim Arts

M Zied Babai

2024/4/16

Global multi-sourcing network design with inventory planning under uncertainty

International Journal of Production Research

Minke Wang

Mehdi Amiri-Aref

Walid Klibi

M Zied Babai

2024/2/27

A hybrid LSTM method for forecasting demands of medical items in humanitarian operations

International Journal of Production Research

Marwa Hasni

M Zied Babai

Bahman Rostami-Tabar

2024/2/13

Optimal ordering quantity under stochastic time-dependent price and demand with a supply disruption: A solution based on the change of measure technique

Omega

M Zied Babai

Dmitry Ivanov

Oh Kang Kwon

2023/4/1

Basket data-driven approach for omnichannel demand forecasting

International Journal of Production Economics

Haytham Omar

Walid Klibi

M Zied Babai

Yves Ducq

2023/3/1

Multi-criteria decision-making for collaborative COVID-19 surge management and inter-hospital patients’ transfer optimisation

International Journal of Production Research

Imene Elhachfi Essoussi

Malek Masmoudi

M Zied Babai

2023/12/2

On comparing forecasting methods for postal delivery service

NADINE Kafa

M ZIED Babai

WALID Klibi

2023

Dedicated maintenance and repair shop control for spare parts networks

arXiv preprint arXiv:2308.12640

Chaaben Kouki

Melvin Drent

Collin Drent

Mohamed Zied Babai

2023/8/24

Network inventory deployment for responsive fulfillment

International Journal of Production Economics

Nayeon Kim

Benoit Montreuil

Walid Klibi

M Zied Babai

2023/1/1

To aggregate or not to aggregate: Forecasting of finite autocorrelated demand

Journal of the Operational Research Society

Bahman Rostami-Tabar

M Zied Babai

Aris Syntetos

2023/8/3

Impacts of additive manufacturing on supply chains: an empirical investigation

Supply Chain Forum: An International Journal

Albraa Noorwali

M Zied Babai

Yves Ducq

2023/4/3

Forecasting: theory and practice

Fotios Petropoulos

Daniele Apiletti

Vassilios Assimakopoulos

Mohamed Zied Babai

Devon K Barrow

...

2022/7/1

Optimization of omnichannel inventory system

Marjan Bozorg

Haytham Omar

Mohamed Zied Babai

Walid Klibi

2022/2/23

Forecasting of lead-time demand variance: Implications for safety stock calculations

European Journal of Operational Research

M Zied Babai

Yong Dai

Qinyun Li

Aris Syntetos

Xun Wang

2022/2/1

Demand forecasting in supply chains: a review of aggregation and hierarchical approaches

M Zied Babai

John E Boylan

Bahman Rostami-Tabar

2022/1/2

On the inventory performance of demand forecasting methods of medical items in humanitarian operations

IFAC-PapersOnLine

Bahman Rostami-Tabar

Marwa Hasni

M Zied Babai

2022/1/1

Estimating the cumulative distribution function of lead-time demand using bootstrapping with and without replacement

International Journal of Production Economics

John E Boylan

M Zied Babai

2022/10/1

A compound-Poisson Bayesian approach for spare parts inventory forecasting

International Journal of Production Economics

Mohamed-Zied Babai

Huijing Chen

Aris A Syntetos

David Lengu

2021/2/1

See List of Professors in Mohamed Zied BABAI University(KEDGE Business School)

Co-Authors

H-index: 58
R.H. Teunter

R.H. Teunter

Rijksuniversiteit Groningen

H-index: 49
Aris Syntetos

Aris Syntetos

Cardiff University

H-index: 46
Stefan Minner

Stefan Minner

Technische Universität München

H-index: 35
Dr Konstantinos (Kostas/Gus) Nikolopoulos, Dipl. Eng. & D.Eng. (ΕΜΠ), ITP(Northwestern)

Dr Konstantinos (Kostas/Gus) Nikolopoulos, Dipl. Eng. & D.Eng. (ΕΜΠ), ITP(Northwestern)

Durham University

H-index: 35
John Boylan

John Boylan

Lancaster University

H-index: 30
Nezih Altay

Nezih Altay

DePaul University

academic-engine