International audienceQuality control lead times are one of most significant causes of loss of time in the pharmaceutical and cosmetics industries. This is partly due to the organization of laboratories that feature parallel multipurpose machines for chromatographic analyses. The testing process requires long setup times and operators are needed to launch the process. The various controls are non-preemptive and are characterized by a release date, a due date and available routings. These quality processes lead to significant delays, and we therefore evaluate the total tardiness criterion. Previous heuristics were defined for the total tardiness criterion, parallel machines, and setup such as ATC (Apparent Tardiness Cost) and ATCS (ATC with setups). We propose new rules and a simulated annealing procedure in order to minimize total tardiness
De nombreux dirigeants d'entreprises considèrent aujourd'hui la gestion de leurs chaînes logistiques comme une priorité. L'enjeu consiste à optimiser simultanément la satisfaction de leurs clients et la rentabilité nécessaire de leurs activités. Mais l'instabilité récurrente des marchés les oblige à repenser de façon permanente leurs processus au travers d'une démarche d'amélioration continue. Un rapide tour d'horizon des méthodes et outils relatifs à chaque étape de cette démarche souligne deux limites pour le cas des processus logistiques. D'abord, il ne semble pas exister de réel consensus quant à la méthode à adopter pour structurer la phase d'observation d'un système logistique. Nous proposons alors un référentiel de diagnostic des chaînes logistiques permettant de dégager les caractères discriminants d'un système logistique. Ensuite, notre analyse met à jour un manque d'outils permettant de faire le lien entre cette phase de diagnostic (et notamment l'étape de modélisation) et la phase de traitement de la démarche d'amélioration. Nous proposons pour ce faire une grille instrumentée d'analyse / actions permettant d'établir ce lien. Les deux propositions sont déclinées sur le cas d'une chaîne logistique pharmaceutique. ABSTRACT. Managers regard the management of their supply chains as a priority. The objective consists in simultaneously optimizing the customer satisfaction and the necessary profitability of their activities. But the market instability forces them to permanently consider their processes through a continuous improvement step. A rapid review of the methods and tools relating to each stage of this step underlines two limits for the logistic processes. Firstly, it does not seem to exist a consensus as for the method to adopt to structure the observation phase of a logistic system. We then propose a supply chain framework of diagnosis allowing to release the discriminating characters of a logistic system. Then, our analysis updates a lack of tools making it possible to establish the link between this phase of diagnosis (and in particular the modelling stage) and the treatment phase of the improvement step. We propose with this intention an instrumented grid of analysis/actions allowing to establish this bond. The two proposals are declined on the case of a pharmaceutical supply chain.
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