Système interactif d'aide à la décision basé sur des algorithmes génétiques pour l'optimisation multi-objectifs /

Zinflou, Arnaud

doi:10.1522/18228468

Cited by 3 publications

(1 citation statement)

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“…Metaheuristic methods are widely used in the field of planning and scheduling. For example, In order to establish efficient resolution methods for industrial scheduling problems, (Zinflou, 2004) brings a new point of view by integrating different concepts from multi-objective optimization, SIAD and genetic algorithms. He developed and implemented the different resolution approaches that form the basis of the model for the proposed interactive decision support system.…”

Section: General Principlementioning

confidence: 99%

Management and Production Engineering Review

Bounou,

Barkany,

Biyaali

2021

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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.

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Section: General Principlementioning

confidence: 99%