ELHAROUNI Fatine - Profil du chercheur

Informations du chercheur

Nom complet

ELHAROUNI Fatine

Grade

Spécialité

Génie logistique

Thématique de recherche

Innovation collaborative; management projet; durabilité; qualité, pédagogie; softskills

Laboratoire

Laboratoire ingénierie des Systèmes et Applications

Établissement

Ecole Nationale des Sciences Appliquées de Marrakech

Ouvrages (0 au total)

Aucun ouvrage disponible.

Projets (0 au total)

Aucun projet disponible.

Publications (4 au total)

Machine Learning to Optimise Supply Chain Performance in Coupled Manufacturing Systems: Case Study of Building Industry

Auteur: Rachid Benmoussa, Fatine Elharouni, Zineb Nafi

Revue: International Journal of Productivity and Quality Management

Année: 2025

DOI: 10.1504/ijpqm.2025.10071236

Integrating Sustainability into Cosmetic Product Development: An ANP-QFD Framework for Balancing Technical Excellence and Environmental Performance

Auteur: Khaoula Razzouk, Fatine Elharouni, Ahmed Aamouche

Revue: Sustainability

Année: 2025

DOI: 10.3390/su172310705

Assessing the Environmental Performance of the Food Industry Using Unsupervised Machine Learning

Auteur: Zineb Nafi, Rachid Benmoussa, Fatine Elharouni

Revue: IFIP Advances in Information and Communication Technology

Année: 2023

DOI: 10.1007/978-3-031-42532-5_9

AN APPROACH BASED ON MACHINE LEARNING AND DISCRETE EVENT SIMULATION FOR SUPPLY CHAIN OPTIMIZATION: THE CASE OF ON-STOCK CHAINS

Auteur: Zineb Nafi, Fatima Ezzahra Essaber, Fatine Elharouni, Benmoussa Rachid

Revue: 국제산업공학저널

Année: 2023

DOI: 10.23055/IJIETAP.2023.30.6.8613

Communications (9 au total)

Integrating Sustainability and Circular Economy Principles into Cosmetic Product Development: An ANP-QFD Framework for Industry 5.0.

Manifestation: RHEMIP 2026 : First International Multidisciplinary Conference on Research in Higher Education Management, Industry and Pedagogy

Date: 2026-06-18

Organisation: Marrakech, Maroc

Beyond Static Efficiency: A Dynamic Multi-Criteria Framework for Sustainable Supply Chain Resilience and Intergenerational Equity.

Manifestation: RHEMIP 2026 : First International Multidisciplinary Conference on Research in Higher Education Management, Industry and Pedagogy

Date: 2026-06-18

Organisation: Marrakech, Maroc

Product Data Centric Management dans l’industrie automobile : démarches, orientations et impact de l’IA.

Manifestation: RHEMIP 2026 : First International Multidisciplinary Conference on Research in Higher Education Management, Industry and Pedagogy

Date: 2026-06-18

Organisation: Marrakech, Maroc

Eco-design of a sustainable moisturizing cream: an integrated approach to transforming customer needs into technical specifications and logistics optimization

Manifestation: ProLog Conference 2025

Date: 2025-04-28

Organisation: Marrakech

Enhancing cosmetic Supply chain efficiency through demand forecasting using machine learning

Manifestation: The World Conference of AI-Powered Innovation and Inventive Design TFC-TRAI 2024

Date: 2024-11-06

Organisation: Cluj-Napoca, Romania

Designing sustainable products to satisfy customer needs and reduce environmental impact: A systematic review of the ANP-QFD-LCA approach to sustainable innovation.

Manifestation: The 7th edition of the International Conference on Industrial and Logistics Systems

Date: 2024-10-17

Organisation: Marrakech, Morocco

Digital twin for supply chain improvement: A case study of a building company

Manifestation: The 7th edition of the International Conference on Industrial and Logistics Systems

Date: 2024-10-17

Organisation: Marrakech, Morocco

L'entrepreneuriat, un atout majeur pour les profils scientifiques.

Manifestation: « 2ème atelier du jeune chercheur de L’académie d’innovation et l’entrepreneuriat»

Date: 2024-07-01

Organisation: IAE Sorbonne Paris

Assessing the Environmental Performance of the Food Industry Using Unsupervised Machine Learning

Manifestation: 23rd International TRIZ Future Conference, TFC 2023

Date: 2023-09-12

Organisation: Offenburg, Germany

Thèses (0 au total)

Aucune thèse disponible.