Multi-Criteria Optimization Of Textile Production By Analysis Of Machine Stoppage



This article presents the application of multi-criteria optimization in textile production. Indeed, with globalization and technological development, only industries that manage to maximize their production and minimize the lost of time are competitive. This work then relates the application of multi-criteria optimization combined with the FMEA method which is the analysis of failure modes, their effects and their criticalities as well as the Analytic Hierarchy Process (AHP) method to maximize production in the field textiles and reduce machine downtime. To do this, we considered 3 sub-objectives which are economic viability, the service provided to the consumer and the impact on the environment. From these 3 sub-objectives, 11 criteria are studied at level 2 of the objective hierarchy tree, namely the cost of fabric, the cost of energy, costs linked to the unavailability of systems, maintenance costs and repair, the cost of replacing components, the quality and quantity of fabrics produced, the delivery time.


Optimization, textile, FMEA, desirability, multi-criteria.

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C. Gagné, M. Price,

« Optimisation multi objectif à l’aide d’un algorithme de colonie de fourmis ». INFOR, 42(1) : 23 :42.2004.

P. Sebastian, T. Quirante, V. Ho Kon Tiat, Y. Ledoux,

« Multi-objective optimization of the design of two-stage flash evaporators: Part 2. Multi-objective optimization ». International Journal of Thermal Sciences 49 (2010) 2459 - 2466.

T. Wagner, H. Trautmann,

« Integration of Preferences in Hypervolume-based multi objective evolutionary algorithms by means of desirability functions ». IEE transactions on evolutionary computation, vol.14, N0. 5, October 2010.

M. J. Scott, E. K. Antonson,

« Aggregation functions for engineering design trade-offs ». Design theory and methodology conference, ASME, 1995.

C. Semassou,

« Aide à la décision pour le choix de sites et systèmes énergétiques adaptes aux besoins du Benin », Thèse de doctorat de l’Université de Bordeaux 1, 2011.

J. Faucher,

« Pratique de l’AMDEC – Assurer la qualité et la sûreté de fonctionnement de vos produits, équipements et procédés ». Dunod, Paris, 2004.

A. Belhomme. Août 2011.

T.L. Saaty,

«The Analytic hierarchy process ». McGraw Hill, New York, 1980, 287 pages.

G. Guesdon,

« Evaluation des impacts environnementaux (EIE) ». Présentation : 5e. Méthodes et outils. Aide multicritère à la décision-Comparaison de Saaty, Université de Laval, mars 2011.

T.L. Saaty,

« Décider face à la complexité : une approche analytique multicritère d’aide à la décision ». Entreprise moderne d’édition, Paris, 231 pages, 1984.



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