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Hassan Ouajji - IEEE Xplore Author Profile

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This article addresses the dynamic landscape of smart supply chain management, characterized by the integration of cutting-edge technologies. It proposes an IoT-Blockchain system for monitoring equipment status in a smart supply chain environment. The system utilizes IoT sensors to collect temperature and humidity data from the equipment. This collected data is then processed and stored in the clo...Show More
In the rapidly evolving domain of e-commerce, effective warehouse management emerges as a critical factor for ensuring timely deliveries. This paper addresses the Storage Location Assignment Problem (SLAP) in e-commerce warehouses, a challenge intensified by varying product volumes and unpredictable demands. We introduce a novel Intelligent Storage Location Assignment (ISLA) method that utilizes a...Show More
Systems modeling is a crucial step that comes before performance evaluation. Moreover, it allows us to better understand the company's flows, either to help in decision-making or to improve its Manufacturing Planning. In the context of Supply Chain Management 4.0 (SCM 4.0), we have chosen modeling tools that allow us to describe the main processes of the Supply Chain (SC), in order to define the n...Show More
The emergence of Industry 4.0 as the fourth industrial revolution has brought about a significant shift in the way industries operate globally. With the help of advanced technologies such as the Internet of Things, Big Data, and Blockchain, Industry 4.0 has revolutionized the supply chain processes and flows by integrating smart components vertically and horizontally. Today's smart supply chain pr...Show More
Smart Logistics (SL) offers a competitive advantage for e-commerce by utilizing Information and Communication Technologies (ICT) such as IoT, AI, Blockchain, Cloud computing, 5G, etc. This technology automates, optimizes, and enables real-time tracking and monitoring of shipments, predicts, and prevents delays, and optimizes delivery routes and schedules. It also provides greater visibility and co...Show More
With growing evidence of advanced technologies-assisted smart processes, it is fundamental to comprehend whether manufacturing systems are adequate to manage flexibility and complexity to enhance the monitoring of smart factories. Smart manufacturing (SM) is evolving as a new version of traditional manufacturing, revealing the magnitude and power of smart technologies such as Artificial Intelligen...Show More
Optimization of order dispatch operations and delivery time prediction is a major concern in supply chains, mainly for e-commerce, which requires the implementation of advanced solutions to reduce delivery time, minimize costs and maximize customer satisfaction. In practice, they fail to warrant scalable and sustainable solutions as the numbers of orders become larger. For that, proper prediction ...Show More
At present, most logistics systems, especially those dedicated to e-commerce, are based on artificial intelligence techniques to offer better services and increase outcomes. However, the variety and complexity of resource allocation, as well as task scheduling, denote that dynamic environments have still great challenges to overcome. So advanced models based on strong algorithms are required. Intr...Show More
Handwriting recognition still considered a difficult problem statement. In this paper, we present a new database containing educational vocabulary written by adolescent’s learners. 200 Moroccan secondary school students whose age varies between 14 and 16 years participated in the development of the first version of the Computer Science Vocabulary Database (CSVD). Our database contains a set of 150...Show More
All countries of the world are facing an unprecedented crisis, where the anti-COVID19 policies applied vary from country to country. In North Africa, the number of confirmed cases has been limited, despite the region's proximity to Europe.In this study, we examine the statistical relationship between deaths attributable to COVID19 and confirmed cases of infection in North Africa. We used daily dat...Show More
In the modeling domain, the selection of appropriate hyper-parameters for classification or prediction algorithms is a difficult task, which has an impact on generalization capacity and classifier performance. In this paper, we compared the performance of five Machine Learning (ML) algorithms from different categories namely: SVM, AdaBoost, Random Forest, XGBoost and Decision Tree. In the first ex...Show More
Green Supply Chain Management (GrSCM) has appeared as an environmental innovation which involves environmental concerns and issues into the Supply Chain Management (SCM). In this study we aim to demonstrate the added value of the urban traffic control and its incorporation in the concept of Green in the Supply Chain Management (GrSCM) and its impact on the performance improvement in the transporta...Show More
The problems which arise in the system of automatic recognition of the handwritten Arabic script shows that the morphology complexity of the Arabic script and its cursivity remains a very vast subject of research. This research subject has known in recent years a great progress especially in the automation of postal mail sorting, check processing and form processing. Generally, there are two main ...Show More
This paper presents a new training approach based on artificial intelligence for air traffic management. A first objective is to provide a conceptual and theoretical connotation on how to treat the Concept of accident causation by establishing a critical approach to the concept. Also, we propose a Design of a Training /Evaluating system based on voice recognition based on temporal and qualitative ...Show More
Automatic recognition of handwritten Arabic words is a research area opens to a large number of industrial applications. However, the solution to the problem of cursive handwriting recognition still laborious because of the complexity of the morphology of Arabic script. In our work, we study and implement an offline handwritten word recognition system using the IFN / ENIT dataset of Arabic words r...Show More
Maintenance activities, such as curative maintenance, preventive maintenance and spare parts management, represent an essential axis in the industry. Its aim consists to improve the productivity of the production systems. Total Productive Maintenance (TPM) is the most effective maintenance strategy used to improve the overall equipment efficiency (OEE). This research paper addresses the impact of ...Show More
The recognition of handwritten characters has always been a very difficult task because of the many variations of handwritten characters with different writing styles. This type of intelligent systems is applied in various fields: check processing, processing of forms, automatic processing of handwritten answers to an examination, etc. This last application is the subject of this work. We compared...Show More
Photovoltaic cell produces weak voltage which should be increased. In fact, the DC / DC converters managed the energy flow between the photovoltaic generator and the battery module which impose the DC bus voltage, with a great flexibility in order to achieve the appropriate voltage level. In this work, we illustrate the functioning principle of three converters as well as the mathematical model an...Show More
The aim of this paper is to present a new distributed computing middleware for High Performance Computing (HPC) based cloud micro-services. The great challenge is to maintain the scalability and efficiency of massively parallel and distributed computational system when the intensive big data processed by its applications is widely increased. Besides, the proposed middleware implements a new cooper...Show More
The aim of this paper is to present a distributed implementation of the Type-2 Fuzzy Logic (T2FL) algorithm in a mobile agent based distributed computing platform. The proposed algorithm is assigned to be implemented on an SPMD (Single Program Multiple Data) architecture which is based on a cooperative mobile agent model. It is constituted by a set of mobile agents as AVPEs (Agent Virtual Processi...Show More
The aim of this paper is to present interesting results obtained by implementing big data classification algorithm using a cooperative mobile agents model. In this work we focused on the application of this classification for Magnetic Resonance Images (MRI) segmentation which is presented based on parallel fine grained c-means algorithm. This algorithm is converged to distributed classification c-...Show More
In this work, we present the potentialities of the surface potential method to investigate electrostatics charges deposited on epoxy resins used in packaging. Curing and post-mould-curing (PMC), with various durations have been performed on epoxy resins. Negative ions are deposited by corona discharge on the surface of these epoxy resins. Then the flowing of charges as a function of time, namely t...Show More
The dielectric behavior of Pt/SrTiO3/Pt thin films is reported in this paper. STO thin films (20 nm and 50 nm) were deposited by ion-beam-sputtering (IBS). This study was carried out in the temperature ranging from 25degC to 150degC and for frequencies in the range 0.01 Hz-1 MHz. Results showed that the permittivity depends strongly on frequency, temperature and sample thickness. For this latter, ...Show More