Besoa Rabenasolo

École Centrale de Lille | EC Lille · Département Ingénierie

This paper studies the problem of platforming trains faced by railway station infrastructure managers to generate a feasible conflict-free timetable. This platforming problem is to assign each train to an internal line inside the railway station and to find a path towards this line through the railway station network. Two kinds of movements are con...

This paper analyses the performance of supply chains by using agent-based simulation. The proposed agents are based on the Supply Chain Operations Reference (SCOR) model. Most of the time, indicators and negotiation mechanisms within a supply chain are still primarily designed for local management (one-to-one relationship). The paper discusses diff...

This paper studies a train routing and scheduling problem faced by railway station infrastructure managers to generate a conflict-free timetable which consists of two parts, commercial movements and technical movements. Firstly, we present the problem and propose a discrete-time mixed-integer linear mathematical model formulation. Due to the comput...

The modern textile/clothing industry is facing a great number of challenges related to sustainability. These challenges include environmental disasters and hazards to human health caused by toxic materials, resource exhaustion (water, energy, raw materials), and social impacts caused by delocalization, counterfeiting and other elements. In order to...

Purpose This paper aims at assessing the appropriateness at the system level of different Life Cycle Inventory (LCI) data sets (including default models) selected by the Life Cycle Assessment (LCA) practitioner. This means that the uncertainty measurements are applied on some specific main parameters of the LCI data set instead of measured input va...

Life Cycle Assessment (LCA) is very dependent on the quality, relevance and reliability of the Life Cycle Inventory (LCI) data sets selected by the LCA-practitioner. When modeling a system, the representativeness of the LCI data set is complemented by the appropriateness of the data set in the context of the specific system. The appropriateness cha...

Life Cycle Inventory analysis (LCI) is defined as the environmental inventory of a process or system. LCI development requires method and precision. Different methods are available for LCI documentation, and they have significantly different precision and quality levels. Life Cycle Assessment (LCA) is very dependent on the quality, relevance and re...

The modern textile/clothing industry is facing to a great number of important challenges related to sustainability. These challenges include environmental disasters and hazards to human health caused by toxic materials, resource exhaustion (water, energy, raw materials), and social impacts caused by delocalization, counterfeiting and other elements...

This work is dedicated to develop an algorithm for the visual quality recognition of nonwoven materials, in which image analysis and neural network are involved in feature extraction and pattern recognition stage, respectively. During the feature extraction stage, each image is decomposed into four levels using the 9-7 bi-orthogonal wavelet base. T...

Previous work has shown that the uniformity recognition of nonwoven can be considered as a special case of pattern recognition. In this paper, a generalized frame for uniformity recognition based on computer vision and pattern recognition is introduced briefly. To validate the proposed generalized frame, a case study id carried out in experiment. I...

In this paper, the visual quality recognition of nonwovens is considered as a common problem of pattern recognition that will be solved by a joint approach by combining wavelet energy signatures, Bayesian neural network, and outlier detection. In this research, 625 nonwovens images of 5 different grades, 125 each grade, are decomposed at 4 levels w...

The surface uniformity recognition and inspection is an important and vital procedure of nonwoven production. Here, a novel approach for the uniformity recognition of nonwovens based on contourlet energy features and K-NN classifier is proposed. In this paper, the uniformity recognition based on contourlet transform and K-NN classifier is considere...

A novel system for the visual quality recognition of nonwovens is presented by combining wavelet texture analysis and K-nearest neighbor (K-NN) classifier and its numerical simulation is also illustrated. In this research, 625 nonwovens images of 5 different grades, 125 samples of each grade, are decomposed into 4 levels with wavelet base db8 and c...

The visual uniformity recognition of nonwoven materials using image analysis and neural network is a typical application of pattern recognition in textile industry. In this paper, we try to find a solution to this problem by combining the generalized Gaussian density (GGD) model in wavelet domain and two types of neural networks, robust Bayesian an...

Life cycle assessment (LCA) is increasingly used as a decision support system that enables the modelling, the evaluation and the comparison of different alternatives of products, processes or supply chains as regards their environmental and sustainable impacts. In the textile-garment domain, the complexity of the supply chain adds to the difficulty...

This paper first outlines the specific needs and requirements of such a database, then describes how the textile LCA can be simplified and finally focuses on eventual optimizations of a textile LCA software and database.

A joint method to identify nonwoven uniformity by combining wavelet transform, generalized Gaussian density (GGD) and generalized dynamic fuzzy (GDF) neural network is presented in this paper. Six hundred and twenty‐five nonwoven images of five different grades, 125 images of each grade, are decomposed at three different levels with coif4 wavelet b...

An approach to recognize the visual quality of nonwovens by combining wavelet texture analysis, Bayesian neural network and outlier detection is proposed in this paper. Nonwoven images (625) of five different grades, 125 of each grade, are decomposed at four levels with wavelet base sym6 and two energy-based features, norm-1 L1 and norm-2 L2, are c...

In this paper, an approach to grade nonwoven uniformity by combining wavelet texture analysis and learning vector quantization (LVQ) neural network is proposed. Six hundred and twenty-five nonwoven images of five different grades, 125 images of each grade, are decomposed at four different levels with five wavelet bases of Daubechies family, and two...

In this article we present an external analysis of the Turkish clothing industry. Informa- tion on the companies was obtained by means of a questionnaire survey. Data were evaluated to see whether or not the Turkish clothing industry uti- lizes globalization market strategies, the important factors effective to implement these strategies, per- ceiv...

An approach to identify visual quality of nonwoven products by combining wavelet transform and learning vector quantization (LVQ) neural network is proposed in this paper. 625 nonwoven images of 5 different visual quality grades, each including 125 images, are decomposed at four different levels using five wavelet bases of the Daubechies family. Th...

In the background of the sustainable development approach, the Life Cycle Assessment (LCA), which is increasingly used, is a decision support system that enables the modeling, the evaluation and the comparison of different alternatives of products, processes or supply chains as regards their environmental impacts. In the textile field, the complexi...

The evaluation and the comparison of several scenarios of production, distribution and consumption enable the optimization of environmental impacts and the design of "Green supply chain". However, when a "perfect environmentally responsible" scenario does not exist, the interpretation of the results so called Life Cycle Impact Assessment (LCIA) sti...

What is the best quantity of a given good that we can buy today for selling tomorrow~? Obviously, the answer depends on the knowledge we have about the future trends of the market. When expressing this knowledge by a probability distribution, many assumptions are often introduced that are not founded on actual knowledge, but only on computational e...

The well-known "newsboy model" has an elegant analytical solution when playing against an exactly known probability distribution of the future demand. When playing against all the distributions sharing the same mean and variance, the Scarf's rule holds. In a previous paper, we have introduced another measure of the dispersion and we are nox examini...

Advances in production systems, innovative and technological products, communication and globalization have made business environments more complex and competitive. In the global market economy, the competitiveness of business systems has a vital importance to ensure development and grow wealth of the country. Textile and Clothing industry is one o...

Sustainable development in the textile industry is not a recent issue. Firstly, scientists and industrial actors were interested in researching new ways for cleaner production especially in the part of the supply chain concerning finishing treatments and dyeing. But nowadays, an analysis of the whole supply chain is needed to locate the most pollut...

This paper identifies the types of demand fluctuations and shows the impacts they have on certain manufacturing performances. Literature on demand fluctuations focuses on volume. It is argued that fluctuations in price, delivery lead time and order frequency should also be considered. Based on the performance data from a benchmarking study, relatio...

One of the challenging problem in the area of the textile supply chain management is the identification of the best decision a retailer can make when he has to buy a certain quantity of a given good for the future sales season. Obviously, the answer depends on the knowledge available upon the future trends of the market. When expressing this knowle...

One of the challenging problem in the area of the textile supply chain management is the identification of the best decision a retailer can make when he has to buy a certain quantity of a given good for the future sales season. Obviously, the answer depends on the knowledge available upon the future trends of the market. When expressing this knowle...

The outsourcing of logistics activities has become a common practice by many companies, which implies an efficient choice of the third-party logistics (3PLs) providers. A literature review on the 3PLs provider's selection problem shows that this selection is a very complex process which depends on several factors, which are often in conflict with o...

The job-shop scheduling problem (JSP) is one of the hardest problems (NP-complete problem). In a lot of cases, the combination of goals and resource exponentially increases search space. The objective of resolution of such a problem is generally, to maximize the production with a lower cost and makespan. In this paper, we explain how to modify the...

In order to achieve modeling of the supply chain of textile and garment, we collected information from the industry through an external benchmarking project, involving 29 textile garment supply chains. Then, using these performance data we identified important variables and investigated the endogenous and exogenous relationships amongst variables....

What is the best quantity of a given good that we can buy today for selling tomorrow? Obviously, the answer depends on the knowledge we have about the future trends of the market. When expressing this knowledge by a probability distribution, many assumptions are often introduced that are not founded on actual knowledge, but only on computational ea...

Supply chain planning requires some knowledge of the future demand. This knowledge is often expressed by a probability distribution or, to be more robust, by some parameters that define a family of demand models, for example the family of pdfs that share a given mean and a given measure of the dispersion. Beside the usually used standard deviation,...

The job-shop scheduling problem (JSP) is one of the hardest problems (NP-complete problem). In lots of cases, the combination of goals and resources has exponentially increasing search space. The objective of resolution of such a problem is generally, to maximize the production with a lower cost and makespan. In this paper, we explain how to modify...

With the elimination of quotas from January 2005, supply chain performance has become more important for textile and clothing industry in Colombia and China who benefit from the changes in trade regulations. For retailers in North America, China seems a popular country for garment production mainly because of its cost advantage. Analysis of Varianc...

Models for predicting ring yarn hairiness are built using backpropagation neural network algorithm and linear regression analysis. An original approach dealing with overfitting and allowing the selection of the optimal neural network architecture is used. It is based on the estimation of the leverages, i.e. the influence of the training examples, o...

The Flexible Job-Shop Scheduling Problem (FJSP) is known in the literature as one of the hardest optimization problems. In lots of cases, the combination of goals and resources has an exponentially increasing search space. Genetic algorithms are preferred to exact methods and gives "good" solutions near the optimal one. In our work, we will use the...

Dans ce papier, nous traitons lrqun des problèmes survenant dans les ateliers de production où on souhaite maximiser la quantité des produits réalisés tout en minimisant au mieux le makespan et les coûts de production, en utilisant les algorithmes génétiques. L'objectif principal est de générer une variété de solutions optimales diversifiées dans l...

Textile and garments is a highly dynamic industrial sector, in terms of frequency of product renewal and new product introduction. In recent years the evolution of technological tools has improved the design efficiency in two ways: first, designs tools as 2-D 3-D CAD systems to allow trim in a more accurate way the final product features and cost....

Textile and garments is a highly dynamic industrial sector, in terms of frequency of product renewal and new introduction. In recent years the evolution of technological tools has improved the product design efficiency in two ways: first, designs tools as 2-D 3-D CAD systems to allow trim in a more accurate way the final product features and cost....

Le problème d'ordonnancement des job-shops flexibles est l'un des problèmes d'optimisation NP difficile. Pour de tels problèmes, les heuristiques ou métaheuristiques deviennent lrqunique moyen drqobtenir une bonne solution. Dans notre travail, nous utilisons les algorithmes génétiques pour optimiser ce type de problèmes. La liste des jobs est divis...

The cost estimation techniques have been improved and applied in several industrial fields. However there does not exist a universal method to be applied in all situations. As the textile sector is a highly dynamic and always- changing supply chain, the cost estimation must be accurate and also flexible and interpretable. This paper examines the ap...

The product development in the textile supply chain becomes a highly dynamic and continuous activity, which is determined mainly by the customer behaviour. In the last years several technological solutions have been introduced in order to improve the efficiency of the task at the early stage of the product lifecycle. A new textile or apparel produc...

In a current high competitive business environment, cost estimation is a strategic tool in order to make decisions related to products during their design and development phases. Against traditional estimation methods, that need to wait until the technical description of the product is completed, there exist new methods allowing to estimate the cos...

In a current high competitive business environment, cost estimation is a strategic tool in order to make decisions related to products during their design and development phases. Against traditional estimation methods, that needs to wait until the technical description of the product is completed, there exist new methods allowing to estimate the co...

In a current high competitive business environment, cost estimation is a strategic tool in order to make decisions related to products during their design and development phases. Against traditional estimation methods, that needs to wait until the technical description of the product is completed, there exist new methods allowing to estimate the co...

The job-shop scheduling problem (JSP) is one of the hardest problems (NP-complete problem). In lots of cases, the combination of goals and resources has an exponentially increasing search space, the generation of consistently good scheduling is particularly difficult because we have a very large combinatorial search space and precedence constraints...

Supply chain planning is a strategic issue for every company because of the evolution of its technical and economic environment. Many disciplines such as operations research, management science, automatic control, information science, industrial engineering, etc., contribute to the development and improvement of various planning methods: synchroniz...

This paper studies the problem of choosing cost estimation functions by mixing statistical regression criteria and technical coherence. The parametric cost estimation method which looks for functional relationship between cost driver variables and the product cost is particularly well adapted to early economic evaluation during the design phase; it...

Eighty per cent of the costs of a product are determined by decisions taken by the designers. Moreover, it is during the design phase that the possibilities of reducing the total cost are the most important. Early studies of alternative solutions are design modifications are less expensive and more efficient. However, in the design phase, the produ...

Dans le contexte économique et stratégique actuel, où la production est de plus en plus pilotée par la demande du marché, la filière Textile, Habillement et Distribution (THD) cherche à répondre efficacement et rapidement aux besoins de ses clients. Les entreprises, qui ont choisi de travailler en étroit partenariat, ressentent le besoin drqoutils...

The supply chain management is a strategic tool for enterprises which want to improve their performance and competitiveness. This project needs a strong partnership between a company, its customers and its suppliers. Beside the organizational and information system aspects, mathematical tools are also needed for the analysis and optimization of the...

This paper applies and compares several methods for selecting relevant parameters of a spinning process. The process parameters and the features of finished products, i.e. yarns are taken as input and output variables of a system respectively. In each of these methods, the selection of relevant parameters is performed by exploiting input/output dat...

The use of a safe and accurate forecast information allows to better manage the production capacities of textile firms. The accuracy of the predicted information is directly linked with the global sales behaviours. A clustering methodology using time windows helps to detect the local influence of sales items and the global evolution of clusters dur...

This paper first presents an improved method of temporal decomposition for minimising the searching space of scheduling problems. Next, the effects of the temporal decomposition procedure in scheduling problems are analysed. It is theoretically shown that the complexity of a scheduling algorithm using decomposed subsets varies inversely with that o...

This paper deals with a new approach to sales-forecasting applied to textile/apparel-distribution firms. The aim is to propose a robust and non-linear forecasting model that works in an uncertain environment. To solve that problem, a fuzzy-adaptive model is proposed. It controls the weight factors of an exponential-smoothing forecasting method, suc...

The difficult economic environment of the textile market imposes three following requirements to different partners of the Textile/Apparel/Distribution (TAD) channel: manufacturing the good item, at the just time and in the just price. In order to fulfill this purpose, an improvement strategy, based on the information treatment of the channel, whic...

A similarity measure of symbolic objects is proposed for symbolic clustering. In the proposed hierarchical agglomeration clustering methodology, symbolic objects are formed using a Cartesian join operator whenever a mutual pair of symbolic objects is selected for agglomeration based on minimum similarity. A validity criterion based on the similarit...

L'environnement économique très concurrentiel du marché textile impose aux différents acteurs de la filière Textile/Habillement/Distribution une triple exigence: fabriquer le bon produit, au bon prix et dans le bon délai. Afin de répondre à cet objectif, nous proposons une stratégie d’amélioration du traitement informationnel de la filière qui comp...

For a better communication between the differents Textile Apparel Distribution (TAD) procedure actors, a general methodology for the analysis and for the management simulation of the logistic flows must be implemented. Our model is based on a Petri net graphical representation and several strategy simulations are realized between the TAD actors.

This paper presents a methodology for the management of buffer-stocks for textile items by a sales partition approach. The proposed approach uses a fuzzy clustering method to find the optimal classes, where items belonging to each class have similar sales graph, so as to design the same forecasting method. The compactness of the generated classes a...

To achieve better communication between those involved in the various aspects of textile-apparel distribution (TAD), a general methodology for the analysis and for the management simulation of the logistic flows must be implemented by the different participants. The model derived in this paper is based on a high-level Petri-net graphical representa...

This paper presents a new method for determining dynamically the control parameters of Genetic Algorithms. These parameters are adjusted using several Fuzzy Logic Controllers where the corresponding fuzzy rules can be obtained from the human expertise on Genetic Algorithms. Unlike other adaptive Genetic Algorithms, we define these control parameter...

This paper presents a new method for the management of buffer-stocks for textile items by a sales partition approach. The proposed algorithm enables to partition the set of items into different optimal classes, so that items belonging to each class follow the same forecasting sales graph. This method uses a sequence of merging of classes. In this s...

In this paper, a forecasting method, helping to solve the stock optimization problem, is proposed. Endogenous parameter, analysed from a clustering of items behaviour, and exogenous parameters, given by a marketing survey or the industrial manager, are provided to the forecasting method. A minimization algorithm, working on the error forecasting be...

Pour mieux communiquer entre les différents acteurs de la filière THD, une méthodologie commune pour l’analyse et la simulation de la gestion des flux logistiques doit être établie par tous les partenaires. Notre modélisation est basée sur une représentation graphique par des Réseaux de Petri (RdP). L’outil de simulation correspondant fournira des...

Ce papier présente une nouvelle méthode pour faciliter le problème de la prévision des ventes par l’utilisation de la classification appliquée aux produits de l’entreprise. Cette classification est basée sur une procédure de recherche de classes optimales telles que les articles appartenant à une même classe respectent la même allure des ventes. El...

This paper deals with a new approach of forecasting calculation applied to the Textile/Clothing/Distribution firms. The aim is to propose a forecasting including endogenous parameters, analysed from items behaviour, but also exogenous parameters, given by the marketing survey or the climatic data, are considered. To solve that problem, a fuzzy fore...

Integrated logistic concept seems to be the best way to optimize the use of the necessary resources to obtain the best service rate and a great competitive advantage for a firm. In order to better communicate and work with the different members of the textile/garment/distribution channel, a common methodology for analysing and checking the manageme...

The stability robustness for uncertain systems defined around a nominal linear periodic system is studied. Using the time-domain approach and considering structured uncertainties, sufficient conditions involving bounds on the parameters variations are given. The approach uses quadratic Lyapunov functions.

This paper first proposes a way of solving the whole Floquet’s transformation of linear periodic systems. Then, the literal calculation of the transition matrices for such equations is possible, and control design can be helf by using the transformed model. Specially, controllability properties, eigenvalue assignment is easier to derive on this tra...

Th. : Prod., autom. et inform. ind. : Lille 1 : 1992 ; 993.