Conference papers

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    Comparative Study Between Data-Based Approaches Under Earlier Failure Detection, in ICCIS2020. Vol 204. India: Lecture Notes in Networks and Systems ; 20
    (2021) HADJIDJ N, Benbrahim M, Berghout T, Mouss L-H
    A comparative study between a set of chosen machine learning tools for direct remaining useful life prediction is presented in this work. The main objective of this study is to select the appropriate prediction tool for health estimation of aircraft engines for future uses. The training algorithms are evaluated using “time-varying” data retrieved from Commercial Modular Aero-Propulsion System Simulation (C-MAPSS) developed by NASA. The training and testing processes of each algorithm are carried out under the same circumstances using the similar initial condition and evaluation sets. The results prove that among the studied training tools, Support vector machine (SVM) achieved the best results.
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    Computer Aided Inspection by Reverse Engineering for Reproduction of Gear Teeth
    (2022) Selloum R, Ameddah H, Brioua M
    In the industry, automated inspection is important for ensuring the high quality and allows acceleration of procedures for quality control of parts or mechanical assemblies. Although significant progress has been made in precision machining of complex surfaces, precision inspection of such surfaces remains a difficult problem. Thus the problem of the conformity of the parts of complex geometry is felt more and more. Motivated by the need to increase quality and reduce costs, and supported by the progress made in the field of it as well as the automation of production which in recent years has seen a considerable evolution in all these stages: from design to control through manufacturing. Due to, we used a 3D computer aided inspection technique on a physical gear using a coordinate measuring machine equipped with a “PC-DMIS” measurement and inspection software. Our work consists in developing a procedure for inspection for reproduction of gear profile by reconstruction of a circle involute gear from a cloud point’s measurement. In order to obtain a reliable result. In this works, we design the CAD-model of the part as accurately as possible (using a mathematical model) and matched with the 3D points cloud that represents the measurement that obtained from scanner. we compare the measurement cloud points from coordinate measurement machine with the mathematical model of construction by ICP (Iterative Closest Point) methods in order to obtain a conformed result and to show the impact of the dimensional inspection and geometric.
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    Hybrid Heuristic Optimization of an Integrated Production Distribution System with Stock and Transportation Costs
    (2021) Bensakhria M, Abdelhamid S
    In this paper we address the integration of two-level supply chain with multiple items, production facility and retailers’ demand over a considered discrete time horizon. This two-level production distribution system features capacitated production facility supplying several retailers located in the same region. If production does take place, this process incurs a fixed setup cost as well as unit production costs. In addition, deliveries are made from the plant to the retailers by a limited number of capacitated vehicles and routing costs are incurred. This work aims at implementing a solution to minimize the sum of the costs at the production facility and the retailers. The methodology adopted to tackle this issue is based on a hybrid heuristic, greedy and genetic algorithms that uses strong formulation to provide a good solution of a guaranteed quality that are as good or better than those provided by the MIP optimizer with a considerably larger run time. The results demonstrate that the proposed heuristics are effective and performs impressively in terms of computational efficiency and solution quality.
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    Integrated production and maintenance planning in hybrid manufacturing-remanufacturing system with outsourcing opportunities
    (2022) Merghem M, Haoues M, Mouss K-N, Dahane M, SENOUSSI A
    This paper deals with the problem of integrated production and maintenance planning with different qualities of returned products and outsourcing opportunities in a closed-loop supply chain context. The considered network consists of one manufacturer in a relationship with an outsourcing provider. The manufacturer is considered as hybrid manufacturing-remanufacturing system. It produces the new products and collects returned ones for remanufacturing activities. The outsourcing provider specializes in the remanufacturing of returned products from the collection and sorting center that the manufacturer is unable to reprocess. We propose an integrated control policy based on mathematical programming, which aims to determine the integrated production and maintenance planning in a hybrid manufacturing-remanufacturing context with outsourcing options. The proposed strategy minimizes the total cost of the system over a finite planning horizon, including manufacturing, in-house remanufacturing, outsourced remanufacturing, maintenance, holding, backlogging, and disposal costs. To show the applicability and validity of the developed model, we implement an iterative procedure using Matlab and CPLEX solver of GAMS. We conduct and discuss computational experiments to investigate managerial insights for the newly developed integrated strategy.
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    Towards Digital Twins Driven Breast Cancer Detection,
    (2021) Meraghni S, Benaggoune K, Al Masry Z, Terrissa S-L, Devalland C, Zerhouni N