Mohamed Zied BABAI

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:

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

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

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

Dedicated maintenance and repair shop control for spare parts networks

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

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

Google Scholar

Mohamed Zied BABAI Skills & Research Interests

Sales forecasting

Inventory management

Stochastic modelling

Top articles of Mohamed Zied BABAI

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

International Journal of Production Research

2024/4/17

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

European Journal of Operational Research

2024/4/16

Global multi-sourcing network design with inventory planning under uncertainty

International Journal of Production Research

2024/2/27

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

International Journal of Production Research

2024/2/13

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

International Journal of Supply and Operations Management

2024/1/29

Mohamed Zied Babai
Mohamed Zied Babai

H-Index: 26

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

International Journal of Production Research

2023/12/2

Dedicated maintenance and repair shop control for spare parts networks

arXiv preprint arXiv:2308.12640

2023/8/24

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

Journal of the Operational Research Society

2023/8/3

Impacts of additive manufacturing on supply chains: an empirical investigation

Supply Chain Forum: An International Journal

2023/4/3

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

Omega

2023/4/1

Basket data-driven approach for omnichannel demand forecasting

International Journal of Production Economics

2023/3/1

On comparing forecasting methods for postal delivery service

2023

Network inventory deployment for responsive fulfillment

International Journal of Production Economics

2023/1/1

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

International Journal of Production Economics

2022/10/1

Optimization of omnichannel inventory system

2022/2/23

Mohamed Zied Babai
Mohamed Zied Babai

H-Index: 26

Walid Klibi
Walid Klibi

H-Index: 15

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

European Journal of Operational Research

2022/2/1

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

2022/1/2

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

IFAC-PapersOnLine

2022/1/1

Demand forecasting methods for spare parts logistics for aviation: a real-world implementation of the Bootstrap method

Procedia manufacturing

2021/1/1

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

Co-Authors

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