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Abstrakty
In this paper, we are interested in determining a maintenance policy with an optimal cost to enable the company to generate significant profits, often the means of transport travelled different paths, they are characterized by the distance they covered; however each distance has an effect on the operating characteristics of means of delivery. The objective of this paper is twofold: It aims both to introduce the model of supply chain and specify distances, and codify the use of it in the proportional hazard model, later a maintenance policy was presented which takes into consideration the types of paths travelled by the means of delivery. (original abstract)
Twórcy
autor
- Lorraine University, France
autor
- Lorraine University, France
autor
- Lorraine University, France
Bibliografia
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- Schutz J., Rezg N., Léger J.B., 2009. Periodic and sequential preventive maintenance policies over a finite planning horizon with a dynamic failure law. Journal of Intelligent Manufacturing. (doi: 10.1007/s10845-009-0313-7), 2009.
- Lyonnet P., La maintenance : mathematiques et methodes. Paris: Tec & Doc.,2000.
- Wassila M., Riad A., "Un modele bi-objectif pour la conception de chaines logistiques vertes". International Conference of Modeling and Simulation, Optimization of the green supply chain pp 216-224, 2010.
- Pan S., Ballot E., Fontane F., « Enjeux environnemantal et économique de la mutualisation logistique pour les PME : le cas de l'alimentaire dans l'Ouest de la France, » Revue Française de Gestion Industrielle, vol. 30, pp. 79-100, 2011.
- Özekici S., "Optimal maintenance policies in random environments". European Journal of Operational Research, 283-294, 1995.
- Benoist T., Estellon B., Gardi F., Jeanjean A., "Recherche locale pour un problème d'optimisation de tournées de véhicules avec gestion des stocks" : In MOSIM 2010, Hammamet, Tunisia, Mai 2010.
- Edsger W., "A note on two problems in connexion with graphs. "Numerische Mathematik",1: 269-271, 1959.
Typ dokumentu
Bibliografia
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bwmeta1.element.ekon-element-000171648222