4 research outputs found

    Global planning of several plants

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    This paper discusses an attempt to solve the problem of planning several pharmaceutical plants at a global level. The interest in planning at this level is to increase the global control over the production process, to improve its overall efficiency, and to reduce the need for interaction between production plants. In order to reduce the complexity of this problem and to make it tractable, some abstractions were made. Based on these abstractions, a prototype is being developed within the framework of the EUREKA project PROTOS, using Constraint Logic Programming techniques

    The PRINCE Project and its Applications- VERSION2

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    The Esprit project Prince aims at development of an industrial Constraint Logic Programing environment based on the Prolog III language. In parallel, the current technology is being validated within the project on representative real-world examples. This paper describes the current status of the three application domains which were Selected to demonstrate the applicability and usefulness of CLP. These applications deal with industrial systems engineering, medium term banking planning and jobshop scheduling as well as multiple plants global planning in the chemical industry

    The PRINCE Project and its Applications

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    The Esprit project Prince aims at development of an industrial Constraint Logic Programing environment based on the Prolog III language. In parallel, the current technology is being validated within the project on representative real-world examples. This paper describes the current status of the three application domains which were Selected to demonstrate the applicability and usefulness of CLP. These applications deal with industrial systems engineering, medium term banking planning and jobshop scheduling as well as multiple plants global planning in the chemical industry

    Effects of pre-operative isolation on postoperative pulmonary complications after elective surgery: an international prospective cohort study

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