Engineering Proceedings, Volume 97, Issue 1

In submitting conference proceedings to Engineering Proceedings, the volume editors of the proceedings certify to the publisher that all papers published in this volume have been subjected to peer review administered by the volume editors [...]

The shortest path problem is algorithmic and involves finding the least costly path (in terms of distance, time, cost, or other criteria) between two nodes in a graph. This problem is fundamental in graph theory and has applications in logistics, net...

The global energy transition and digitalization are reshaping traditional production and consumption paradigms. Green hydrogen is emerging as a key element for decarbonizing sectors like industry and transportation, offering a viable alternative to f...

This work presents a new approach to introducing a new product in a production workshop, taking into account the products already introduced in the production lines. The proposal is based on a study of the skill requirements of the workforce and the...

The main thrust of the study is the need to cut down the time taken for mold changes in plastic injection molding which is fundamental to the productivity and efficiency of the process. The research encompasses Lean Manufacturing, DMAIC, and SMED whi...

Evaluating the approach of the apple’s maturity is a crucial aspect of enhancing agricultural efficiency, especially in the context of harvesting. Traditional approaches depend on fixed criteria that fail to account for the natural growth condi...

This review investigates the application of Artificial Intelligence (AI), deep learning (DL), and the Internet of Things (IoT) in water resource management, focusing on distribution optimization, demand prediction, and water quality enhancement. The...

The Moroccan garment industry faces challenges in scheduling small order batches, often hindered by traditional product family-based methods that increase downtime by 15–20%. This study proposes a clustering-based scheduling approach, grouping...

The hub location problem is constantly examined in the field of air transportation, especially when designing networks for passenger airlines or express cargo providers. The competition that characterizes these businesses combined with the small bene...

The transportation sector is considered the number one consumer of tires worldwide. At present, 1.1 billion vehicles relying on this industry, although this number is increasing significantly following supply chain demands and the rapid economic grow...

The dairy industry faces unique challenges in demand forecasting due to the perishability of products and the variability in consumer demand. This paper explores the state of the art in demand forecasting for multi-retailers in the dairy industry, hi...

Manufacturing enterprises implementing Industry 4.0 technologies face significant challenges in integrating heterogeneous maintenance data sources and deploying AI solutions effectively. While various AI methods exist for predictive maintenance, the...

This research examines advanced machine learning techniques utilized for the predictive maintenance of industrial machinery. A hybrid model combining long-term memory networks (LSTM) and gated recurrent unit (GRU) networks alongside a random forest c...

This paper presents a novel approach to supplier clustering by utilizing the Arithmetic Optimizer Algorithm (AOA), addressing the complex challenge of supplier segmentation in modern supply chain management. The AOA framework is applied to solve the...

The integration of Industry 4.0 (I4.0) and lean manufacturing (LM) has become a crucial approach for industries aiming to enhance accuracy, customization, competitiveness, and environmental sustainability. Manufacturers want to make their factories s...

Industrial progress has increased the need to improve the productivity of production systems. In this context, optimizing the problem of allocating and balancing workers on a multi-manned assembly line (MALW-a-BP) is a major challenge. This paper int...

The fast growth of artificial intelligence during recent years has resulted in its implementation across various sectors. The broad implementation of AI systems has generated substantial ethical issues because AI algorithm decisions can affect basic...

A fuzzy prediction model has been developed considering the concentration of acetic acid (pH), temperature, and biopolishing time as input variables, while the color change, measured with DEcmc, between samples before and after biopolishing, was used...

Lean manufacturing (LM) is one of the strongest tools used by manufacturing companies to improve and optimize their processes, making them more performant and agile. The current industrial revolution, or Industry 4.0, aims to give new momentum to man...

This paper presents a novel approach to water access segmentation by introducing an improved version of the Salp Swarm Algorithm (ISSA), addressing the complex challenge of household water access classification in developing regions. The proposed enh...

Logistics efficiency is critical to operational success in manufacturing, especially for corrugated carton manufacturers. The challenges of this type of manufacturing include optimizing truck utilization, without which high costs, resource waste, and...

This study explores the employability of engineers in the context of Industry 4.0, focusing on the KASH model (Knowledge, Attitude, Skills, Habits). Using a sequential exploratory design, we collected data from 800 engineers in Morocco through an onl...

Using the OLS model with different quantiles of GPR, we aim to examine the impact of GPR, EPU, and VIX on monthly international crude oil prices, including WTI, BRENT, and DUBAI prices, while differentiating the impact on different levels of risks. A...

Data waste presents a growing challenge in the digital era, characterized by redundant, outdated, and underutilized data that contributes to inefficiencies, increased costs, and environmental concerns. This paper explores how circular economy (CE) pr...

This paper tackles the logistics dilemma of how to meet customer expectations while at the same time respecting the internal processes and financial interests of the company and ensuring long-term sustainability. In this paper, integrated Quality Fun...

This paper predicts offered wage rates and job requirements in the logistics industry by utilizing data from online job postings collected through two methods: search tools and web scraping. We apply conventional estimation techniques, such as ordina...

The reverse logistics of medical textiles has become a major concern in Morocco today, compelling authorities and professionals to develop a sustainable reverse logistics model. This study proposes a model for designing a sustainable closed-loop supp...

Digital transformation is crucial for businesses to thrive in today’s rapidly evolving marketplace. It is a strategic choice that enables organizations to improve customer service, strengthen supplier relationships, and boost sales and business...

This study proposes a bi-objective optimization model for the inventory routing problem with pickup and delivery (IRP–PD) in a closed-loop supply chain, addressing the growing demand for sustainable logistics solutions. The model simultaneously...

This paper introduces a comprehensive framework for evaluating rural water access efficiency using Data Envelopment Analysis (DEA). Despite significant investment in water infrastructure, disparities in access efficiency across regions remain a criti...

The globally used additive manufacturing technique called Fused Deposition Modeling plays a central role in advancing dematerialized logistics by enabling on-demand production and minimizing material waste. The integration of Artificial Intelligence...

Automation technologies play a pivotal role in optimizing logistics operations within warehouse facilities. Retail companies invest in these technologies to maintain pace with the customers demands by increasing their production capacity while reduci...

Additive manufacturing (AM) is revolutionizing industrial production by enabling the fabrication of complex, customized components with reduced material waste. However, the scheduling of AM machines presents significant challenges in terms of optimiz...

The increasing complexity of power grids and integration of renewable energy sources necessitate accurate power load forecasting across multiple time horizons. While existing methods have advanced significantly, they often struggle with consistent pe...

This study conducts a systematic literature review based on the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) process. The Scopus database is our main source of data, and our data analyses comprised bibliometric, systema...

This paper presents a novel approach to economic dispatch (ED) optimization in power systems through the application of Proximal Policy Optimization (PPO), an advanced reinforcement learning algorithm. The economic dispatch problem, a fundamental cha...

Crises and disruptive events over new technologies like artificial intelligence, have transformed supply chains management. This literature review proposes a conceptual framework to identify the relevance of digitalization and artificial intelligence...

SMILE 2025 was held in Casablanca, Morocco, on 16–19 April 2025, co-organized by ESITH Morocco, through its Center of Excellence in Logistics (CELOG), and the Université Polytechnique Hauts-de-France, home to the Transport, Circular Econ...

The development of the supply chain’s outsourcing and globalization has intensified the requirement for sustainable transport. The evaluation of the transport providers’ maturity, which is crucial to all and any achievements in this conte...

Public procurement refers to the purchasing of goods and services for public entities. Before launching the call for tender, the public body prepares an estimate of the procurement act; this estimate is taken into consideration by the tender commissi...

With its potential to address persistent issues like inefficiency, fraud, and a lack of transparency, distributed ledger technology (DLT), and in particular blockchain, has become a game-changing breakthrough in the realm of international trade. With...

Public transportation in cities is negatively affected by reliance on petroleum-based fuels, leading to emissions and poor air quality. Although the environmental evaluation of alternative buses in terms of sustainability has been extensively studied...

To promote sustainable development, adopting circular economy principles is crucial for preserving natural resources and ensuring environmental continuity. Among solid waste management strategies, composting plays a significant role by converting bio...

The growing frequency and complexity of both natural and man- made crises like pandemics have highlighted the need for robust emergency logistics strategies during the last decade. Procurement is one of the critical areas impacting any emergency supp...

The rapid advancement of digital technologies, referred to as Industry 4.0, has profoundly transformed the manufacturing landscape, necessitating a reevaluation of engineering education. Future engineers must possess diverse skills and competencies t...

An effective CE approach will require new waste management practices that provide more value and have improved resource use and ecological consequences. The innovations offered by artificial intelligence (AI) are revolutionary: automation, predictive...

This paper presents a Location-Routing Problem (LRP) model for optimizing pickup operations in reverse logistics while incorporating drivers’ well-being constraints. The LRP is formulated as a Mixed-Integer Linear Programming (MILP) model, inte...

The performance evaluation of production systems is essential for optimizing throughput caused by machine failures and operational constraints. In this study, we introduce an aggregation method designed to evaluate serial production lines (SPLs) that...

With the increasing complexity of supply chain structures, effective coordination among stakeholders remains essential to maximize performance. This paper presents a systematic literature review of coordination contracts. Fourteen types were explored...

The needs of modern businesses are constantly evolving, and project management must continuously adapt by proposing new solutions to emerging challenges. Building on previous research—a systematic literature review (SLR) identifying internation...