101,742 research outputs found

    Proposition d'un outil d'aide à la décision pour la gestion des commandes en cas de pénurie : une approche par la performance

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    La thèse s'intéresse au processus de gestion des commandes dans le cas où la promesse de vente faite au client (quantité, date) ne peut être tenue en raison de ruptures temporaires de produits. Il s'agit alors de proposer un outil pour traiter les commandes de manière à satisfaire au mieux le client tout en respectant les contraintes de l'entreprise. Nous proposons un modèle d'Advanced Available To Promise pour l'aide à la gestion de commandes en cas de rupture. Il s'agit d'un outil d'aide à la décision multicritère qui permet de prendre en compte les points de vue des différents acteurs ainsi que les possibilités de flexibilité pour exécuter les commandes (substitution, livraison partielle et multi-site). Le paramétrage de l'outil permet de mettre en oeuvre des stratégies de gestion de la pénurie et d'exécution des commandes plus ou moins efficiente ou agile. Afin de mesurer et d'évaluer la performance des résultats obtenus, nous proposons également un référentiel tri-dimensionnel. ABSTRACT : Our objective is to optimize the Order Management Process performance in case of stock out situation. To reach this goal, we propose a method and a tool to integrate Supply Chain and Demand Chain. Concretely, the thesis proposes a model known as “Advanced Availbale To Promise” for decision- aking with the order management in the event of stock-out. This multicriterion decision- aking tool makes possible to take into account the different points of view from the actors as well as the possibilities of flexibility to fulfill the orders (substitution, partial delivery, multi site). The parameters setting of the tool makes it possible to implement various strategies to manage the shortage and fulfill the orders: efficient, responsive, effective, agile and leagile. In order to measure and to evaluate the performance of the results, the thesis also proposes a three-dimensional framewor

    From supply chains to demand networks. Agents in retailing: the electrical bazaar

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    A paradigm shift is taking place in logistics. The focus is changing from operational effectiveness to adaptation. Supply Chains will develop into networks that will adapt to consumer demand in almost real time. Time to market, capacity of adaptation and enrichment of customer experience seem to be the key elements of this new paradigm. In this environment emerging technologies like RFID (Radio Frequency ID), Intelligent Products and the Internet, are triggering a reconsideration of methods, procedures and goals. We present a Multiagent System framework specialized in retail that addresses these changes with the use of rational agents and takes advantages of the new market opportunities. Like in an old bazaar, agents able to learn, cooperate, take advantage of gossip and distinguish between collaborators and competitors, have the ability to adapt, learn and react to a changing environment better than any other structure. Keywords: Supply Chains, Distributed Artificial Intelligence, Multiagent System.Postprint (published version

    An Empirical Study of Operational Performance Parity Following Enterprise System Deployment

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    This paper presents an empirical investigation into whether the implementation of packaged Enterprise Systems (ES) leads to parity in operational performance. Performance change and parity in operational performance are investigated in three geographically defined operating regions of a single firm. Order lead time, the elapsed time between receipt of an order and shipment to a customer, is used as a measure of operational performance. A single ES installation was deployed across all regions of the subject firm\u27s operations.Findings illustrate parity as an immediate consequence of ES deployment. However, differences in rates of performance improvement following deployment eventually result in significant (albeit smaller than pre-deployment) performance differences. An additional consequence of deployment seems to be an increased synchronization of performance across the formerly independent regions
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