Amelioration De La Maturite Des Entreprises En Gestion Des Risques Par La Maintenance

Statistics on accidents at work, particularly in Morocco, remain worryingly high. This situation raised a general awareness in the country and many decisions have been taken and corrective actions have been elaborated in order to enhance enterprise risk management maturity. This maturity is based on several key factors including maintenance.In this paper we propose a methodology to mitigate and control maintenance generated risks which in turn will allow enterprises to enhance their maturity in risk management

Impact des décisions logistiques sur la performance financière en se basant sur une étude de cas

Au quotidien, la chaîne logistique est un véritable challenge qui, si elle est bien gérée, peut devenir source d’un avantage concurrentiel significatif. Les managers disposent de plusieurs leviers pour déployer leur stratégie chaîne logistique en fonction des modes de transport et de livraison, des logiques de sourcing et des pratiques des achats, des dimensionnements des capacités de production, d’entreposage et des inventaires, des systèmes d’information mis en place pour connecter les différents maillons de la chaîne de valeur et de la politique des prix et des promotions pratiqués. Dans ce papier, nous allons essayer d’étudier l’impact des décisions logistiques sur la performance tout en se basant sur une étude de cas  &nbsp

CONCEPTION D’UN NOUVEAU SYSTÈME DE MESURE DE PERFORMANCE DURABLE POUR LE TRANSPORT ROUTIER DE FRET : LOGIQUE FLOUE ET PROCESSUS DE RÉSEAU ANALYTIQUE

Cet article présente un nouveau modèle pour évaluer le niveau de performance durable du transport routier selon 5 principales dimensions : économique, environnementale, sociale, opérationnelle et une dimension des parties prenantes. L’objectif de l’étude est de déterminer les dimensions nécessaires pour une évaluation représentative de la performance durable du transport routier de fret permettant un meilleur contrôle de la logistique et de la chaîne d’approvisionnement.L’article passe en revue un bon nombre de modèles existants dans la littérature traitant différents modes de transport avant de choisir comme point de départ le modèle le plus complet. Le point de vue des auteurs est d’identifier - parmi les articles étudiés présentant différents modèles de mesure de la performance dans le secteur des transports - le modèle le plus global afin de construire un nouveau modèle d’évaluation de la performance encore plus efficace. Le modèle de base choisi a une double originalité : d’une part, il est multidimensionnel et permet donc d’avoir un seul système de mesure de performance pour évaluer la performance global de l’organisation. Et d’un autre côté, bien qu’il soit adapté pour mesurer la performance des entreprises de transport routier, il est un modèle générique qui peut être utilisé pour mesurer la performance de tout autre secteur. L’algorithme retenu est combiné à deux autres méthodes notamment la logique floue et le processus analytique de réseau pour ainsi former un nouveau système de mesure qui fera l’objet d’une étude de cas appliqué à différent secteur

Fuzzy Performance Measurement System for the Maintenance Function

Maintenance aims to sustain the manufacturing process by ensuring that the production tools are well managed. However, modern production means are more automated and therefore more complex, so they require a performing maintenance for which planning and implementation are increasingly difficult. This paper, therefore, emphasizes the elaboration of a maintenance performance measurement system. Therefore, for an appropriate and reliable performance evaluation, we adopt a multi-level multi-criteria approach where every criterion influencing the maintenance performance either indirectly or directly are specified. Thereafter, indicators for the specified criteria would be measured using fuzzy logic to overcome limitations due to lack of available resources and data. For a global maintenance measurement, the elementary measurements will be aggregated into a total measurement through a multiple-criteria decision-making method such as MACBETH

Proposition d’un modèle de maturité pour la gestion des risques : application au secteur industriel au Maroc

Les statistiques sur les accidents liés aux risques industriels sont alarmantes. Les conséquences de ces accidents peuvent être très néfastes pour l’entreprise, ses biens, ses salariés, sa notoriété, son environnement et pour les populations avoisinantes. Pour réduire ces risques, l’entreprise doit avoir une politique de gestion des risques pertinente, clairement définie, correctement mise en oeuvre et inscrite dans une démarche globale d’amélioration continue. Dans cette perspective, nous proposons dans le présent papier un modèle de maturité en matière de gestion des risques pour les entreprises industrielles avec une approche de mesure et validation par l’étude de cas, appliquée à une quinzaine d’entreprises de droit marocain. Cet outil permettrait aux managers d’évaluer leur niveau de maîtrise des risques industriels, d’identifier les points faibles, et de prendre les décisions adéquates leur permettant de transformer leurs organisations en des organisations fiables.The statistics on accidents related to industrial risks are alarming. The consequences of such incidents can be very harmful to a business, its goods, employees, reputation, environment and neighbouring population. To reduce these risks, a company should have an effective risk management policy, clearly defined and correctly implemented in a global approach for continuous improvement. In this paper, we will propose a maturity model for industrial risk management validated by application on fifteen cases studies. This tool will allow managers to evaluate their level of control over industrial risks, identify their weaknesses, and take the adequate decisions that will permit their organizations to be highly reliable

Prognosis of a Degradable Hydraulic System: Application on a Centrifugal Pump

This article proposes a preliminary diagnostic/prognostic method for the identification of a critical system, undergoing a continuous evolutionary degradation, in a production area, and the determination of the component responsible for its degradation, called the failing element. Using for this, a model based on learning by multilayer perception (MLP). The purpose of this paper is to provide a modeling approach that makes it possible to determine the level of degradation reached by the system at any given point of time, in a precise way. Thus, the horizon of the failure will be produced with a minimum error compared to the discrete jump model used in the literature. The proposed approach consists of using a neural network with fewer layers and optimal computing time. We performed data learning (tests) in order to illustrate a regression of good correlation of these data (tests) on a centrifugal pump with satisfactory performance parameters and compared it with other commonly used methods

Elaboration of an implementation approach of a condition-based maintenance through vibration analysis

Vibration analysis is a powerful and widely used tool in industry for monitoring rotating machinery. Despite the possibilities offered by the measuring equipment of vibration through technological progress, companies which practice Vibration Based Analysis (VBM) show performance below expectations in terms of machine availability. Our duty then is to develop an approach for the implementation of the VBM taking into consideration the keys to success and avoiding the causes of failure. We carried out an analysis of 30 years of practice of the VBM within a large Moroccan company in the chemical industry, through a collective approach called DCA (in French applied short diagnosis) and a survey among national and international experts in the field of the VBM. The synthesis of these studies has led us to propose a comprehensive and structured approach that comes in 5 phases: inventory, feasibility studies, preparation phase, implementation phase, evaluation and improvement phase

A balanced performance measurement system for automotive spare parts supply chain

This paper aims to provide a performance measurement system for the automotive spare parts supply chain. We focus on an independent distributor belonging to an independent channel. The framework encompasses different performance aspects for a high supply chain visibility, as well as the required categories, subcategories and key performance indicators for the automotive spare parts supply chain performance measurement. The framework is the first contribution that advances the performance measurement in the automotive aftermarket and allows assessing the performance of the automotive spare parts supply chain as a whole

Elaboration of an implementation approach of a condition-based maintenance through vibration analysis

Vibration analysis is a powerful and widely used tool in industry for monitoring rotating machinery. Despite the possibilities offered by the measuring equipment of vibration through technological progress, companies which practice Vibration Based Analysis (VBM) show performance below expectations in terms of machine availability. Our duty then is to develop an approach for the implementation of the VBM taking into consideration the keys to success and avoiding the causes of failure. We carried out an analysis of 30 years of practice of the VBM within a large Moroccan company in the chemical industry, through a collective approach called DCA (in French applied short diagnosis) and a survey among national and international experts in the field of the VBM. The synthesis of these studies has led us to propose a comprehensive and structured approach that comes in 5 phases: inventory, feasibility studies, preparation phase, implementation phase, evaluation and improvement phase