Weaving Sustainability Strategies in Supply Chain: A Carbon Trading Perspective DOI
Vernika Agarwal,

Khaoula Khlie,

Zoubida Benmamoun

et al.

2018 4th International Conference on Optimization and Applications (ICOA), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: Oct. 17, 2024

Language: Английский

Forecasting supply chain disruptions in the textile industry using machine learning: A case study DOI Creative Commons
Ikhlef Jebbor, Zoubida Benmamoun, Hanaâ Hachimi

et al.

Ain Shams Engineering Journal, Journal Year: 2024, Volume and Issue: unknown, P. 103116 - 103116

Published: Oct. 1, 2024

Language: Английский

Citations

2
Supply Chains Problem During Crises: A Data-Driven Approach DOI Creative Commons

Farima Salamian,

Amirmohammad Paksaz,

Behrooz Khalil Loo

et al.

Modelling—International Open Access Journal of Modelling in Engineering Science, Journal Year: 2024, Volume and Issue: 5(4), P. 2001 - 2039

Published: Dec. 12, 2024

Efficient management of hospital evacuations and pharmaceutical supply chains is a critical challenge in modern healthcare, particularly during emergencies. This study addresses these challenges by proposing novel bi-objective optimization framework. The model integrates Mixed-Integer Linear Programming (MILP) approach with advanced machine learning techniques to simultaneously minimize total costs maximize patient satisfaction. A key contribution the incorporation Gated Recurrent Unit (GRU) neural network for accurate drug demand forecasting, enabling dynamic resource allocation crisis scenarios. also accounts two distinct destinations—receiving hospitals temporary care centers (TCCs)—and includes specialized chain prevent medicine shortages. To enhance system robustness, probabilistic patterns disruption risks are considered, ensuring reliability. solution methodology combines Grasshopper Optimization Algorithm (GOA) ɛ-constraint method, efficiently addressing multi-objective nature problem. Results demonstrate significant improvements cost reduction, allocation, service levels, highlighting model’s practical applicability real-world research provides valuable insights optimizing healthcare logistics events, contributing both operational efficiency welfare.

Language: Английский

Citations

2
Machine Learning Integration in Supplier Relationship Management for Enhanced Stock Management DOI

Ameur Najim,

Zoubida Benmamoun, Mouad Ben Mamoun

et al.

2018 4th International Conference on Optimization and Applications (ICOA), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 5

Published: Oct. 17, 2024

Language: Английский

Citations

0
Weaving Sustainability Strategies in Supply Chain: A Carbon Trading Perspective DOI
Vernika Agarwal,

Khaoula Khlie,

Zoubida Benmamoun

et al.

2018 4th International Conference on Optimization and Applications (ICOA), Journal Year: 2024, Volume and Issue: unknown, P. 1 - 6

Published: Oct. 17, 2024

Language: Английский

Citations

0