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The performance evaluation of the spare parts management: case study

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EN
Abstrakty
EN
The supply chain of spare parts is the intersection between the supply chain, the after-sales and the maintenance services. Some authors have tried to define improvement paths in terms of models to satisfy the performance criteria. In addition, other authors are directed towards the integration of risk management in the demand forecasting and the stock management (performance evaluation) through probabilistic models. Among these models, the probabilistic graphical models are the most used, for example, Bayesian networks and petri nets. Performance evaluation is done through performance indicators. To measure the appreciation of the supply of the spare parts stock, this paper focuses on the performance evaluation of the system by petri nets. This evaluation will be done through an analytical study. The purpose of this study is to evaluate and analyze the performance of the system by proposed indicators. First, we present a literature review on Petri nets which is the essential tool in our modeling. Secondly, we present in the third section the analytical study of the model based on bath deterministic and stochastic petri networks. Finally, we present an analysis of the proposed model compared to the existing ones.
Twórcy
  • Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, B.P. 2202 - Route d’Imouzzer - FEZ, Morocco
  • Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, Morocco
  • Mechanical Engineering Laboratory, Faculty of Science and Techniques, Sidi Mohammed Ben Abdellah University, Morocco
Bibliografia
  • [1] Jaulent P., Quarès M.A., Drive your performances [in French], 2nd édition, 2008.
  • [2] Ghorbel N., Management of periodic replenishments of spare parts under uncertainties for the MCO of material parks: risk management of stock-outs [in French], doctoral thesis, Vincennes Saint-Denis Paris 8 University, 2013.
  • [3] Lazrak A., Improved forecasting and inventory management processes for a spare parts supply chain [in French], Nantes Angers Le Mans University, doctoral thesis, 2015.
  • [4] Labadi K., Contribution to the modeling and performance evaluation of logistics systems using a new stochastic petri network model [in French], Sciences de l’ing´enieur, University of Technologies of Troyes, 2005.
  • [5] Labadi K., Darcherif M., Chen H., Parameter Perturbation Analysis through Stochastic Petri Nets: Application to an Inventory System, Advances in Petri Net Theory and Applications, Tauseef Aized [Ed.], ISBN: 978-953-307-108-4, InTech, Available from http://www.intechopen.com/books/advancesin-petri-net-theory-and-applications/parameterperturbationanalysis-through-stochastic-petri-netsapplication-to-an-inventory-system, 2010.
  • [6] Fattah J., Ezzine L., El Moussami H., Lachhab A., Analysis of the performance of inventory management systems using the SCOR model and Batch Deterministic and Stochastic Petri Nets, International Journal of Engineering Business Management, 8, 1–11, 2016.
  • [7] Abbou R., Simeu-Abazi Z., Di Mascolo M., Petri nets for modeling and analyzing the performance of a maintenance workshop [in French], 4e Francophone Modeling and Simulation Conference, Organization and Conduct in Industry and Services, MOSIM’03, 23–25 April 2001 – Toulouse (France), 2001.
  • [8] Pérès F., Grenuouilleau J.C., Initial spare parts supply of an orbital system, Aircraft Engineering and Aerospace Technology, 74, 3, 252–262, 2002.
  • [9] Grenuouilleau J.C., et Pérès F., Initial supply management in spare parts of an orbital system [in French], Journal Europ´een des Systèmes Automatisées, 40, 4–5, 397–417, 2006.
  • [10] Pérès F., Verron S., Dejean J.-P, et Averbuch D., Formalization of a structured approach to modeling a complex industrial system by petroleum networks: application to ultra-deep offshore petroleum systems [in French], Oil & Gras Science and Technology – Rev. IFP, 62, 3, 375–389, 2007.
  • [11] Pradat-Peyre J.F., Introduction to structural verification of petri networks and high-level networks [in French], Master SAR, module VFSR, LIP 6, année 2010–2011.
  • [12] Valette R., Introduction to petri nets [in French], Comprehensive IT Newsletter and Applications, pp. 3–22, 2009.
  • [13] Dicesare F., Harhalakis G., Poth J.M., Silva M., Vernadat F., Practice of Pétri nets in manufacturing, Journal of the Operations Research Society, January 1993.
  • [14] Murata T., Petri nets: properties, analysis and applications, Proceedings of the IEEE, 17, 4, 1989.
  • [15] Morère Y., Petri Network Course [in French], April 2002.
  • [16] Labadi K., Chen H., Modelling, analysis and optimisation of supply chains by using Petri net models: the state-of-the-art, Int. J. Business Performance and Supply Chain Modelling, 2, 3/4, 2010.
  • [17] Labadi K., A new stochastic Petri net model and its applications to logistics systems, 4OR, 6, 407–410, 2008.
  • [18] Labadi K., Amodeo L., Chen H., Batch Deterministic and Stochastic Petri Nets and Transformation Analysis Methods, New Developments in Robotics, Automation and Control, Aleksandar Lazinica [Ed.], ISBN: 978-953-7619-20-6, InTech, Available from http://www.intechopen.com/books/new_developments_in_robotics_automation_and_control/batch_deterministic_and_stochastic_petri_nets_and_transformationanalysis_methods, 2008.
Uwagi
Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-6002ff6c-3e16-435b-aa8a-870db6660281
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