Data processing from manufacturing systems to decision support systems: propositions of alternative design approachesReport as inadecuate




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1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes 2 Lab-STICC UBS CACS MOCS Lab-STICC - Laboratoire des sciences et techniques de l-information, de la communication et de la connaissance

Abstract : With the increase of flexibility and production rates, the complexity of manufacturing systems reached a point where the operator in charge of the production activity control of the system is not able to forecast efficiently the impact of his decisions on the global performances. As a matter of fact, more and more Decision Support Systems DSS are developed, as much in literature or industrial applications. DSS have one common point: the initialization of their forecasting functionality is based on data coming from the manufacturing system. Furthermore, this feature is fundamental, as it has a direct impact on the accuracy of the forecasts. Considering the variety of input and output data, a data processing is necessary to adapt those coming from the manufacturing system. The aim of this paper is to present several design approaches enabling the integrator of a new manufacturing system to speed up the implementation, with the idea of automate and systematize the maximum design phases thanks the model driven engineering.

Keywords : Decision support systems Data processing Manufacturing systems Model driven engineering Model transformation Observers





Author: Mickaël Adam - Olivier Cardin - Pascal Berruet - Pierre Castagna -

Source: https://hal.archives-ouvertes.fr/



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