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Mariam Lafkihi Zakaria

Mariam Lafkihi Zakaria

Researcher Scientist

Center · CGS

Keywords

Team

Conception pour les transitions et transformations industrielles

Biography

Mariam Lafkihi Zakaria is a researcher specializing in innovative logistics systems, with significant expertise in the field of the Physical Internet (PI). Her work focuses on optimizing logistics networks, particularly through the development of dynamic and responsive protocols to improve the connectivity and resilience of supply chains. She explores approaches inspired by digital technologies—such as adaptive routing algorithms, decentralized auction mechanisms, and multi-criteria decision-making methods—to address the sector’s operational and environmental challenges. Her research also incorporates educational tools, such as gamification, to facilitate the learning of complex concepts related to IP and industrial cyber-physical systems (ICPS). In addition, she is interested in the collaborative dynamics among logistics stakeholders and the impact of centralized or decentralized organizations on the efficiency of transportation networks.

Publication(s)

Teaching

Sustainable Logistics

Lecturer

The course is divided into three main parts: First, the course examines the current structure of logistics networks, as well as the trends and environmental challenges posed by these largely essential activities. The course then explores alternative organizational models and focuses on the interconnection of logistics networks as a means of overcoming certain current conflicts. Finally, the last part of the course is devoted to examining the implications of this new approach for various aspects of logistics networks: material handling, information systems, inventory management, network design, business models, and intermediation platforms.

POC and Industry of the Future (Entrepreneurship Quarter)

Course Director

To achieve this ambitious goal, students will carry out a proof-of-concept (POC) project in partnership with an industrial company and will draw on a body of knowledge covered in three course modules. The courses are as follows: Production Systems and Logistics (SPL): Designing for Innovation (CPI). Introduction to Statistical and Generative Learning Models (IMASG) These courses will provide the foundations for understanding industrial challenges and the reasoning required for innovation. POC projects are conducted with industrial partners from the Center for Scientific Management. The teaching team and its industry partners identify areas of innovation that are relevant from an educational perspective and for which appropriate POCs must be developed. The students’ task is to define the POC, carry it out, and analyze the resulting outcomes. Since the fields of innovation can vary, they will lead to different types of POCs (technical POCs, organizational POCs, process POCs, etc.), but they will always follow a dual approach of validation and exploration. Below are a few examples: Data analysis for inventory management (technical POC: Upstream database structuring) A calmer reception for older adults in the emergency room (organizational POC: Simulation of an alternative patient triage protocol) Low-carbon individual urban delivery (process POC: Prototype of a container enabling co-delivery) Launching a business model in the healthcare sector (economic POC: Market launch test to validate usage)

PhD supervision

  • 2024 New approach to routing in interconnected logistics networks MOUDEN IDRISSI EL MEHDI
  • 2020 Contributions to the Study of Underground Logistics Systems LARDY Emilienne