Abstract
The effective and timely use of enterprise wide optimization models requires robust and reliable data acquisition systems to extract model relevant parameters and to drive the proposed enterprise wide coordination strategies. This work aims to create a knowledge-based platform for systematic and standardized management of the general, site and master recipes within the process industry. The platform allows the creation of a master recipe ready for the production planning and scheduling, as well as for the process management. As a result, recipe management functionalities are supported by a traceable and reliable system.
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Muñoz, E., Capón-García, E., Muñoz, M., Montoya, P. (2018). Decision-Support Platform for Industrial Recipe Management. In: Mejia, J., Muñoz, M., Rocha, Á., Quiñonez, Y., Calvo-Manzano, J. (eds) Trends and Applications in Software Engineering. CIMPS 2017. Advances in Intelligent Systems and Computing, vol 688. Springer, Cham. https://doi.org/10.1007/978-3-319-69341-5_18
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DOI: https://doi.org/10.1007/978-3-319-69341-5_18
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