Data processing from manufacturing systems to decision support systems: propositions of alternative design approaches

Mickaël Adam (1) , Olivier Cardin (1) , Pascal Berruet (2) , Pierre Castagna (1)

1 IRCCyN - Institut de Recherche en Communications et en Cybernétique de Nantes
2 Lab-STICC_UBS_CACS_MOCS

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.

Mots clés: Decision support systems; Data processing; Manufacturing systems; Model driven engineering; Model transformation; Observers

Domaines: Automatique / Robotique

Mickaël Adam, Olivier Cardin, Pascal Berruet, Pierre Castagna. Data processing from manufacturing systems to decision support systems: propositions of alternative design approaches. Information Control Problems in Manufacturing INCOM 2012, 2012, Bucharest, Romania. pp.1129-1134, ⟨10.3182/20120523-3-RO-2023.00140⟩. ⟨hal-00808263⟩