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2021 | 12 | nr 1 | 24--37
Tytuł artykułu

Contribution Overview to the Evaluation and Development of Spare Parts Management Models: Meta-Heuristic and Probabilistic Methods

Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The presence of the spare parts stock is a necessity to ensure the continuity of services. The supply of spare parts is a special case of the global supply chain. The main objective of our research is to propose a global spare parts management approach which allows decision makers to determine the essential points in stock management. Thus, it is important for the stock manager to evaluate the system considered from time to time based on performance indicators. Some of these indicators are presented in the form of a dashboard. The presentation of this chapter chronologically traces the progress of our research work. In the first part, we present the work related to the forecast of spare parts needs through parametric and statistical methods as well as a Bayesian modelling of demand forecasting. To measure the appreciation of the supply of spare parts inventory, the second part focuses on work related to the evaluation of the performance of the spare parts system. Thus, we concretize the link between the management of spare parts and maintenance in the third part, more precisely, in the performance evaluation of the joint -management of spare parts and maintenance, in order to visualize the influence of parameters on the system. In the last section of this chapter, we will present the metaheuristic methods and their use in the management of spare parts and maintenance and make an analysis on work done in the literature. (original abstract)
Rocznik
Tom
12
Numer
Strony
24--37
Opis fizyczny
Twórcy
  • Sidi Mohammed Ben Abdellah University, Morocco
  • Sidi Mohammed Ben Abdellah University, Morocco
  • Sidi Mohammed Ben Abdellah University, Morocco
Bibliografia
  • Abbou, R., Simeu-Abazi, Z. and Di Mascolo M. (2001). Les réseaux de Petri pour la modélisation et l'analyse des performances d'un atelier de maintenance, 4e Conférence Francophone de MOdélisation et SIMulation Organisation et Conduite d'Activités dans l'Industrie et les Services, MOSIM'03 - du 23 au 25 avril - Toulouse (France).
  • Ayadi, I., Bouillaut, L., Aknin, P. and Siarry, P. (2010). Optimisation par algorithme génétique de la maintenance préventive dans un contexte de modélisation par modèles graphiques probabilistes, Lambda Mu 17, 17th Congress on Risk Management and Operational Safety, Oct, Rochelle, France.
  • Bayarassou, M. (2010). Une approche d'évaluation et d'amélioration du service maintenance basée sur la simulation - Cas de l'entreprise BAG-Batna, UNIVERSITE HADJ LAKHDAR BATNA Faculté des Sciences de l'Ingénieur.
  • Bergman, J.J. (2014). A bayesian approach to demand forecasting, Master's thesis, December, University of Missouri-Columbia.
  • Bounou, O. (2019). Contribution à l'évaluation et développement des modèles de gestion des pièces de rechange, Université sidi Mohammed ben Abdellah, thèse de doctorat.
  • Bounou, O., El Barkany, A. and El Biyaali, A. (2017a). Inventory Models for Spare Parts Management: A Review, International Journal of Engineering Research in Africa, 28, 182-198.
  • Bounou, O., El Barkany, A. and El Biyaali, A., (2017b). Bayesian model for spare parts management, International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA 2017), IEEE Xplore, pp. 204-208.
  • Bounou, O., El Barkany, A. and El Biyaali A. (2018). Parametric Approaches for Spare Parts Demand, International Journal of Supply Chain Management, 7, 4, August.
  • Bounou, O., El Barkany, A. and El Biyaali A. (2019a). A bayesian model for optimum supply of spare parts, International Journal of Engineering Research in Africa, 42, 160-171.
  • Bounou, O., El Barkany, A. and El Biyaali, A. (2019b). The performance evaluation of the spare parts management: case study, Management and Production Engineering Review, vol. 10, no. 2, pp. 37-49, doi: 10.24425/ mper.2019.129567.
  • Bounou, O., El Barkany, A. and El Biyaali A. (2019c). Modelization of the spare parts supply performance by Petri nets, International Colloquium on Logistics and Supply Chain Management (LOGISTIQUA 2019), 02-04 June 2019, IEEE Xplore.
  • Bounou, O., El Barkany, A. and El Biyaali A. (2020a). Stochastic and deterministic Petri networks Model for Joint management model for spare parts and maintenance: Simulation study, International Journal of Engineering Research in Africa, vol. 46, pp. 180-188.
  • Bounou, O., El Barkany, A. and El Biyaali, A. (2020b). Performance Indicators for Spare Parts and Maintenance Management: An Analytical Study, Journal of Engineering, Volume, Article ID 2950789, 22 pages, Hindawi, doi: 10.1155/2020/2950789.
  • Bouzenad, A. (2017). Gestion optimale des pièces de rechange dans un réseau logistique multi-échelon flexible, Master thesis in mechanical engineering, Quebec, Canada.
  • Boylan, J.E. and Syntetos, A.A. (2010). Spare parts management: a review of forecasting research and extensions, IMA Journal of Management Mathematics, vol. 21, pp. 227-237.
  • Brown G.W., Lu J.Y., andWolfson R.J. (1964). Dynamic modeling of inventories subject to obsolescence, Management Science, vol. 11, pp. 51-63.
  • Diallo, C. (2006). Développement d'un modèle d'identification et de gestion des pièces de rechange, Université Laval, Québec, thèse de doctorat.
  • Fattah, J., Ezzine, L., El Moussami H. and Lachhab A. (2016). 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, vol. 8, pp. 1-11, doi: 10.1177/1847979016678370.
  • Ghorbel, N. (2013). Gestion des réapprovisionnements périodiques des pièces de rechange sous incertitudes pour le MCO de parc matériels: maitrise de risque de rupture des stocks, thèse de doctorat, université de Vincennes Saint-Denis Paris 8.
  • Ghorbel, N., Addouches, A., EL Mhamedi, A. and Boujelbene, Y. (2014). Bayesian approach for spare parts replenishment policies under uncertainties, International Journal of Engineering Research and Development, vol. 10, no. 11, November, pp. 28-45.
  • Hadibi, A. (2016). Optimisation de la maintenance préventive par les algorithmes génétiques, Memory of Magister, Faculty of Science and Technology, Mohamed Chérif Messaâdia University of Souk-Ahras, Supported on: 28/04/2016.
  • Hasni, M., Aguir, M.S., Babai, M.Z. and Jemai Z. (2018). Spare parts demand forecasting: a review on bootstrapping methods, International Journal of Production Research, pp. 1-15, doi: 10.1080/00207543.2018. 1424375.
  • Labadi, K. (2005). Contribution à la modélisation et à l'évaluation de performances des systèmes logistiques à l'aide d'un nouveau modèle de réseaux de Petri stochastiques, Sciences de l'ingénieur, Universités de technologies de Troyes.
  • Lazrak, A. (2015). Amélioration des processus de prévision et de gestion des stocks dans le cas d'une chaîne logistique des pièces de rechange, l'université Nantes Angers Le Mans, thèse de doctorat.
  • Naim, P., Wuillemin, P.H., Leray, P., Pourret, O. and Becker A. (2007). Réseaux bayésiens, Eyrolles, 3éme édition.
  • Syntetos, A.A., Zied Babai, M. and Gardner, Jr. E.S. (2015). Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping, Journal of Business Research, vol. 68, pp. 1746-1752, doi: 10.1016/j.jbusres.2015.03.034.
  • Syntetos, A.A. and Boylan, J.E. (2001). On the bias of intermittent demand estimates, Int. J. Production Economics, vol. 71, pp. 457-466.
  • Willemain, T.R., Smart, C.N. and Schwarz, H.F. (2004). A new approach to forecasting intermittent demand for service parts inventories, International Journal of Forecasting, vol. 20, pp. 375-387.
  • Zerari, N. and Mouss, H. (2009). Développement d'un Outil d'Optimisation Basé sur les Algorithmes Génétiques, SETIT 5 th International Conference: Sciences of Electronic, Technologies of Information and Telecommunications March 22-26, 2009 - TUNISIA.
  • Zhou, C. and Viswanathan, S. (2011). Comparison of a new bootstrapping method with parametric approaches for safety stock determination in service parts inventory systems, International Journal of Production Economics, vol. 133, no. 1/3, pp. 481-485.
  • Zinflou, A. (2004). Système interactif d'aide à la décision basé sur des algorithmes génétiques pour l'optimisation multi-objectifs, Master's thesis, QUEBEC UNIVERSITY, Canada.
Typ dokumentu
Bibliografia
Identyfikatory
Identyfikator YADDA
bwmeta1.element.ekon-element-000171616424

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