29 research outputs found

    Kinetic study of spiramycin removal from aqueous solution using heterogeneous photocatalysis

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    International audienceSpiramycin macrolide antibiotic (SPM) can be photocatalytically degraded on TiO2 (anatase variety). The experiments are done in a batch reactor and the effect of some key parameters is investigated under low energy of artificial UV light. The reaction rate is affected by varying TiO2 dose, pH and SPM concentration. Under optimized conditions, a photodegradation efficiency of 98% is achieved and the SPM photodegradation follows pseudo-first order kinetics. The Langmuir–Hinshelwood (L–H) model is successfully used to fit the experimental data, indicating the dependence of the reaction rate on the chemical reaction step. The L–H model led to the determination of both reaction kinetic and adsorption/desorption equilibrium constants. In order to give an overall estimate of the by-products, chemical oxygen demand, total organic carbon, and calculated average oxidation state monitor the photodegradation proces

    BPR Implementation: A Decision-Making Strategy

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    To support the efficient appraisal and selection of available best practices, this paper proposes a strategy for the implementation of Business Process Redesign (BPR). Its backbone is formed by the analytical hierarchy process (AHP) multi-criteria method and our earlier research on the popularity and impact of redesign best practices. Using (AHP) we derive a classification of most suitable best practices for the process being redesigned. Criteria such as the popularity, the impact, the goals and the risks of BPR implementation are taken into account. A case study of a municipality in the Netherlands is included. It discusses which best practices should be applied to redesign the invoicing process at the municipality. © Springer-Verlag Berlin Heidelberg 2006

    Application of Measurement-Based AHP to Product-Driven System Control

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    This paper presents an application of the measurements-based AHP to define a two-stage algorithm for product-driven systems control, in case of an unexpected event. This algorithm is made of two stages: the first one aims to define which kind of strategy the product should adopt (wait ̧ react by it self or switch back to centralized mode) while the second one helps to choose the most appropriate resource able to fulfill the product requirements. The methodology is detailed on a simple case study

    Decentralised control and self organisation in flexible manufacturing systems

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    Décentralisation des mécanismes de pilotage de la relation donneurs d’ordres / fournisseurs

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    Task Decentralised Scheduling in a Hub, Harbour Maritime & Multimodal Logistics Modelling and Simulation

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    Pilotage proactif des lignes de production kanban par modélisation DEVS et simulation temps réel

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    Development of a decision-making strategy to improve the efficiency of BPR

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    To support the efficient appraisal of and selection from a list of generic business process improvement principles, this paper proposes a strategy for the implementation of business process redesign (BPR). Its backbone is formed by the analytic hierarchy process (AHP) multicriteria method and our earlier research into the popularity and impact of a set of redesign "best practices". Using AHP, we derive a classification of most suitable directions for a particular process to be redesigned. Criteria such as the popularity, the impact, the goals and the risks of BPR implementation are taken into account. A case study is included to demonstrate the method’s feasibility and effectivenes

    Modèle de pilotage auto organisé de la relation Clients-Fournisseurs

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