CNRS Production Engineering and Mechanical Production Laboratory

Metz, France

CNRS Production Engineering and Mechanical Production Laboratory

Metz, France
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Chaabane K.,CNRS Production Engineering and Mechanical Production Laboratory | Schutz J.,CNRS Production Engineering and Mechanical Production Laboratory | Dellagi S.,CNRS Production Engineering and Mechanical Production Laboratory
MATEC Web of Conferences | Year: 2017

Maintenance activities represent a significant pillar in industry. Its real goal consists at improving the production systems productivity. Specially, TPM represents one of the main evolutions of the maintenance methods in order to improve the machines efficiency by a proactive approach. This paper presents an overview of several TPM implantations and especially efficiency and effectiveness measurement of the TPM in several industries. In a second hand, a proposition of possible extension about analytical assessment of the TPM performance, based on both technical and economic criteria, is presented. © 2017 The Authors, published by EDP Sciences.


Gavriluta A.,University of Pitesti | Nitu E.-L.,University of Pitesti | Schutz J.,CNRS Production Engineering and Mechanical Production Laboratory
MATEC Web of Conferences | Year: 2017

Considering the need of flexibility in any manufacturing process, the choice of the supply method of an assembly workstation can be a decision with instead influence on its performances. Using dynamic simulation, this article wants to compare the effect on a workstation cycle time of three different supply methods: supply on stock, supply in Strike Zone and synchronous supply. This study is part of an extended work that has the aim of compering by 3D layout design and dynamic simulation, different supply methods on an assembly line performances. © 2017 The Authors, published by EDP Sciences.


Gavriluta A.,University of Pitesti | Nitu E.-L.,University of Pitesti | Schutz J.,CNRS Production Engineering and Mechanical Production Laboratory
MATEC Web of Conferences | Year: 2017

The design of a supply system for an assembly line possess many challenges. A tool that helps the decision making and the adjustment of the supply system parameters is the dynamic simulation. This article has the aim of showing on a given case, the road from workstation layout, to its simulation model and an example of parameter that can vary and its effect of workstation performance. Starting from the 3D model of the workstation, varying the number of diversities present in the workstation, by using the simulation we can see the effect of this variation on the workstation cycle time. © 2017 The Authors, published by EDP Sciences.


Troudi A.,CNRS Quartz Laboratory | Addouche S.-A.,CNRS Quartz Laboratory | Dellagi S.,CNRS Production Engineering and Mechanical Production Laboratory | El Mhamedi A.,CNRS Quartz Laboratory
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) | Year: 2017

This paper treats a drone delivery parcel’s problem in an urban area. Drone delivery has emerged as a potential way in the immediate future to deliver parcels in the urban area, especially in last-mile delivery. This new configuration of parcel delivery highlights the improvement of the application of Unmanned Aircraft Vehicles in the civil use. The future challenge underlying this application is not so much the design of drones for parcel delivery, but the logistics support of a massive fleet of drones with a mission to deliver at least hundreds of parcels a day in a dense urban area. We hereby treat this issue by focusing on Logistics Support System. In this paper, we propose a Post-Production Logistics Support Analysis to cover the exploitation phase of a drone delivery operator. © Springer International Publishing AG 2017.


Schutz J.,CNRS Production Engineering and Mechanical Production Laboratory | Rezg N.,CNRS Production Engineering and Mechanical Production Laboratory
Computers and Industrial Engineering | Year: 2013

In case of leasing, the user rents equipment for a predetermined time. During this period, all maintenance actions are performed by the lessor. The aim of this research paper consists in determining an optimal maintenance policy for ensuring a minimum reliability, required by the customer. Two strategies are proposed: the first consists in performing preventive actions whenever the system reliability reaches a predefined reliability threshold. These actions are characterized by a reduction of the system age. The objective is therefore to determine the effectiveness factor of the optimal maintenance minimizing maintenance costs. For the second strategy, "improving" actions replace corrective actions during an interval to be determined to minimize maintenance costs. The first strategy will be solved using a numerical procedure and the second strategy uses an algorithm of discrete event simulation. © 2013 Elsevier Ltd. All rights reserved.


Dahane M.,CNRS Production Engineering and Mechanical Production Laboratory | Clementz C.,CNRS Production Engineering and Mechanical Production Laboratory | Rezg N.,CNRS Production Engineering and Mechanical Production Laboratory
Computers and Industrial Engineering | Year: 2010

This paper considers the problem of subcontracting constraints under a joint maintenance management and production control approach. Our objective is to study the effect of an unforeseen extension of subcontracting duration on a production system provider of subcontracting services. We will study a system with a production unit M subject to corrective maintenance actions, a result of random breakdowns. We perform a preventive maintenance action (PM) for each time T. Corrective and preventive maintenance have random durations. A buffer stock S with a capacity h, is built up with a production rate U in order to satisfy the constant demand d of the principal costumer, such as Umax > d. We note α = Umax - d, the maximum stock accumulation rate. In addition, the machine M is allocated to perform subcontracting tasks (ST) to a contractor production system, at each moment A1, for a useful duration A2, during which it is unavailable for our system. Thus, the machine must satisfy at the same time the constant demand (under a costumer-supplier relationship) and subcontracting tasks (under a contractor-subcontractor relationship). In this context, a mathematical model is developed to determine the impact of an unforeseen extension of subcontracting duration on the generated costs. We will determine the optimal values of T and h and we will discuss the impact of the extension of a ST with θ time units. © 2009 Elsevier Ltd. All rights reserved.


Schutz J.,CNRS Production Engineering and Mechanical Production Laboratory
IEEE International Conference on Industrial Engineering and Engineering Management | Year: 2014

This paper deals with production and maintenance plans. Among a set of proposed requests, the production system must satisfy several of them. Each request is characterized by a profit, products quantity and delivery date. The choice of the requests to perform must allow to maximize net profit. To achieve this objective, preventive maintenance plans and optimal production rates associated with each request must be computed jointly. To solve this problem, a great deluge algorithm is used. A numerical example is also given to illustrate the proposed model. © 2014 IEEE.


Hajej Z.,CNRS Production Engineering and Mechanical Production Laboratory | Rezg N.,CNRS Production Engineering and Mechanical Production Laboratory | Gharbi A.,École de Technologie Supérieure of Montreal
International Journal of Advanced Manufacturing Technology | Year: 2016

This paper proposes a new ecological joint production and maintenance policy, which considers an ecological aspect for a forecasting problem of unreliable manufacturing system subject to degradation. The manufacturing system is composed of a single machine producing one product type in order to satisfy a random demand under a given service level. On the other hand, the production system generates harmful emissions to the environment and may be sanctioned by an environmental tax. The objective of this paper is to propose an ecological production and maintenance policy (EPMP) optimization by calling a subcontracting in the context of a calling of tenders in order to satisfy the random demand and to decrease the carbon tax. In this context, we determine the economical production plan and the optimal maintenance strategy by defining a condition for the subcontracting cost in order to respect the EPMP optimization. To illustrate the highlight of the proposed policy, some numerical results are presented. © 2016 Springer-Verlag London


Hajej Z.,CNRS Production Engineering and Mechanical Production Laboratory | Rezg N.,CNRS Production Engineering and Mechanical Production Laboratory | Gharbi A.,École de Technologie Supérieure of Montreal
International Journal of Production Research | Year: 2014

In this paper, a forecasting production/maintenance optimization problem has been proposed with a random demand and single machine M1 on a finite horizon. The function rate of the machine M1 is depending on the production rate for each period of the forecasting horizon. In order to satisfy the customer, a subcontracting assures the rest of the production through machine M2 with transportation delay. An analytic formulation of the problem has been proposed using a sequential computation of the optimal production plan for which an optimal preventive maintenance policy has been calculated based on minimal repair. Firstly, we find, the optimal production plans of principal and subcontracting machines, which minimises the total production and inventory cost for the cases without and with returned products under service level and subcontracting transportation delay. Secondly, we determine a joint effective maintenance policy with the optimal production plan, which integrates the various constraints for the production rates, the transportation delay and the returned production deadline. Numerical results are presented to highlight the application of the developed approach and sensitivity analysis shows the robustness of the model. © 2014 Taylor and Francis.


Bouguerra S.,University of Tunis | Chelbi A.,University of Tunis | Rezg N.,CNRS Production Engineering and Mechanical Production Laboratory
International Journal of Production Economics | Year: 2012

Numerous products are sold with a warranty period and the possibility of buying an extended warranty for a given additional cost. The buyer has then to decide to take the extended warranty or not when purchasing the product. We develop in this paper a mathematical model to study the opportunity provided by the extended warranty for the buyer as well as for the manufacturer. The total average cost incurred by each side during the product's life cycle is expressed in order to determine the maximum extra cost the consumer should pay and the minimum price at which the manufacturer should sell the extended warranty. This is done under different options in terms of maintenance strategies adopted during the product's lifecycle. © 2011 Elsevier B.V. All Rights Reserved.

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