Special Sessions

Optimizing Supply Chain Dynamics: Integrating Machine Learning and Metaheuristics

Organizers:
Ghizlane BENCHEIKH, FSJES – UMI, Meknès, Morocco
Ghita BENCHEIKH, LINEACT-Engineering School Cesi, France
Majda FIKRI, ENCG – UIZ, Morocco

Abstract
Supply chain management (SCM) grapples with unprecedented challenges in today's global economy, necessitating the fusion of advanced computational techniques. This session explores the synergy of machine learning (ML) and metaheuristic algorithms in optimizing diverse supply chain facets. ML enables data analysis, pattern extraction, and informed decision-making, enhancing efficiency from demand forecasting to risk management. Metaheuristics offer robust solutions for combinatorial, multi-objective SCM problems. Contributions are invited on ML-driven demand forecasting, metaheuristic-based production scheduling, route optimization, real-time decision-making, and sustainable SCM. Through interdisciplinary dialogue, this session aims to propel supply chain optimization, fostering resilience and responsiveness in future supply chains.

Teleworking impact on GHG emissions from urban transport

Organizers:
Mohamed Charhbili, IREGE, Université Savoie Mont Blanc, Annecy, France
Amina El Yaagoubi, ICL, Junia, Université Catholique de Lille, LITL, F-59000 Lille, France
Naoufal Rouky, FST Settat, Hassan First University, Settat, Morocco
Jaouad Boukachour, Le Havre Normandie University, Le Havre, France

Abstract
The relationship between teleworking and travel requirements, amplified by COVID-19, is under scrutiny by urban planners, transport experts, and scholars. Pre-pandemic, telework was at 17%, peaked at 47% during COVID-19, and now stabilizes around 30%. It's viewed as a remedy for traffic congestion, pollution, and energy usage, reducing commuting. However, studies suggest telework can extend trip lengths and increase energy consumption. Only after three days of telework does it notably cut CO2 emissions. Yet, it can alleviate congestion, enhancing air quality during peak times. This inquiry explores how individuals decide between on-site work and telework, impacting transportation mode choices, and its potential to curb emissions and congestion. Researchers are encouraged to submit papers exploring these dynamics.

Supply chain risk management

Organisers :
DKHISSI Btissam, ENSA, UAE Tetouan, Morocco
ABOUNACER Rachida, FS, UIZ Agadir, Morocco
LAJJAM Azza, ENSA, UAE Tetouan, Morocco

Abstract
Supply chain risk management (SCRM) can be defined across various disciplines, as a collaborative work that adapts both quantitative and qualitative risk management techniques, to identify, assess, mitigate, and monitor unforeseen macro and micro-level events or conditions that could have a detrimental impact on any aspect of a supply chain. In the last three decades, the world has witnessed several events that have impacted the supply chains of several sectors. Indeed, the rise of globalization has recently led on an increased risk of supply chain disruptions increased outsourcing and an intensified focus on efficiency.

 As an example of the main recent events that impacts and has disrupted every aspect of supply chains, the COVID-19 pandemic, including border closures, statewide lockdowns, and workforce limitations. Consequently, the world have witnessed logistical challenges, and a reduction in production capacity. There are several other examples of disturbances in supply chains, such as the Demand fluctuations, changes in supply capacity, lead time variability, exchange rates volatility. From all these examples among others, we conclude that the modern supply chains are confronting a multitude of risks arising from unparalleled risk factors. This session is proposed for researches dealing with the examples of SCRM in different industries using several techniques.

Organizers:
Adiba EL Bouzekri El Idrissi, ENSA, Jadida, Morocco
Ahmed EL Hilali Alaoui, Université Euro-Mediterranean, Fes, Morocco
Hassania Messaoud, EHTP, Casablanca, Morocco
Younes EL Bouzekri El Idrissi, ENSA, Kenitra, Morocco

Organizers:
Fatima EL Khoukhi, Faculty of Arts and Humanities, Moulay Ismaïl University of Meknes, Morocco
Ahmed EL Hilali Alaoui, Euro-Mediterranean University of Fes, Fez, Morocco
Jaouad Boukachour, Le Havre-Normandy University, France
Hasnae EL Khoukhi, Faculty of Sciences Dhar El Mahraz, Sidi Mohamed Ben Abdellah University, Fez, Morocco

Abstract
In general, strategic and organizational infrastructure, equipment and human resource management present the main keys of Supply Chain (SC) performance. More recently, Smart SC management system uses digitalization and advanced technology such as Artificial Intelligence, Internet of things, Blockchain, and Big data analytics. And this to optimize the flow of goods and services from suppliers to consumers and to develop and improve the efficiency of SC management, by enabling real-time data analysis methods, optimizing decision-making, enhancing communication and visibility, and speeding up and automating processes. This allows companies and businesses to automate many manual tasks, reduce the time and effort necessary to achieve them, increase productivity, decrease total acquisition and inventory costs, creates opportunities and provide better future insights into different SC stages.