Publications
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Energy optimization of building design using Genetic Algorithm and RMP ranking method
This study presents a simulation-based multi-objective optimization approach for identifying the optimal building envelope design to minimize energy consumption (for cooling and for heating), and carbon emissions. In this regard, the implemented methodology includes three basic phases: building energy simulation (EnergyPlus), optimization (non-dominant sorting genetic algorithm NSGA II), and multi-criteria decision analysis. The methodology is […]
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Strength Retention of Carbon Fiber/Epoxy Vitrimer Composite Material for Primary Structures: Towards Recyclable and Reusable Carbon Fiber Composites
Recently, the growth of the recyclability of carbon fiber reinforced polymer (CFRP) composites has been driven by environmental and circular economic aspects. The main aim of this research work is to investigate the strength retention of a bio-based vitrimer composite reinforced with carbon fibers, which offers both recyclability and material reusability. The composite formulation consisted […]
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Modeling and simulation of worker profiles in production systems based on punctuality, fatigue, and experience
The integration of worker behavior profiles into production systems is essential for improving performance and ensuring efficiency in terms of productivity, quality, safety, and worker well-being. This paper presents a model that simultaneously represents worker punctuality, fatigue, and experience through simulation. A Markov chain is employed to model punctuality, while fatigue and experience are captured […]
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Multi-objective resolution of hub location problem with hop-constraints
This paper investigates a flexible hub location problem within an incomplete inter-hub network, considering the multiple allocation of non-hub nodes to hubs. It assumes unlimited capacity for both hubs and links, with no direct links permitted. Although research on hub location problems with hop constraints is scarce, most studies in the literature incorporates the number […]
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Improving the Potato Supply Chain in Western Algeria: An Optimization Model
This study focuses on optimizing the potato supply chain in Algeria, particularly in the western region, where potatoes are a staple agricultural product. Despite significant production, the supply chain faces challenges such as inefficient planning, high losses, and price fluctuations, leading to food insecurity. The objective of this research is to develop a mathematical model […]
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Human-centered production scheduling in a flexible and robotic manufacturing workshop
Effective scheduling is critical in machining manufacturing to ensure efficient production flow and meet strict delivery timelines. This paper presents a novel approach to optimizing production scheduling in flexible and robotic manufacturing environments, specifically within a Reentrant Hybrid Flow Shop (RHFS). The proposed method integrates human-system interaction considerations with a hybrid decision-making framework, addressing key […]
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Development of a Web-Based Application for Optimizing Multi-Product Pipeline Scheduling in the Oil Industry
In the context of optimizing logistical operations in the oil industry, effective scheduling is critical for enhancing efficiency and reducing costs. This paper aims to address this challenge by developing a scheduling web application specifically designed for multi-product pipeline transportation systems. The primary objective of this application is to generate a detailed schedule plan that […]
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Task Allocation and Planning for Multi-Robot System Using an Improved Genetic Algorithm
This study focuses on optimizing task allocation and planning within a multi-robot system (MRS) for inspections at multiple sites. The problem is formulated as an optimization challenge aimed at minimizing the overall distance covered. Using an improved genetic algorithm (IGA), our objective is to reduce operating expenses. The IGA is improved with various genetic operators […]
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A global approach based on k-means clustering principle for optimal smartphones and laptops batteries waste collection in Algeria
Rapid urbanization and population growth in developing countries have posed significant challenges for solid waste management. This is clearly evident in African countries including Algeria, where environmental concerns are not effectively managed. The purpose of this article is to design a network to facilitate waste collection in Algeria. A location allocation-based clustering approach is proposed, […]
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Fault Diagnosis using Deep Neural Networks for Industrial Alarm Sequence Clustering
Significant progress has been made in the field of industrial alarm management systems (AMS) in terms of diagnostic and prognostic accuracy. However, persistent challenges, such as poorly configured alarm setups and floods, contribute to an increased number of false alarms, consequently reducing the efficiency of the monitoring system. In addition, more sophisticated models and interactive […]
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LoRaCAPS: Congestion-Aware Path Selection Protocol for Offshore LoRaWAN Networking
LoRaWAN technology plays a pivotal role in enabling data transmission from IoT devices across various industries. In the maritime sector, applications such as operational monitoring and environmental surveillance depend critically on reliable data communication. However, wireless data transmission at sea presents significant challenges, including limited device battery life, harsh weather conditions, and interference from vessels. […]
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Multi Objective Optimization of Human-Robot Collaboration: A Case Study in Aerospace Assembly Line
Collaborative robotics is becoming increasingly prevalent in industry 5.0, leading to a growing need to improve interactions and collaborations between humans and robots. However, the current approach to defining the sharing of responsibilities between humans and robots is empirical and uses the robot as an active fixture of parts, which is a sub-optimal method for […]
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