Decision Support in the Rioja Wine Production Sector
-
Juan-Ignacio Latorre-Biel
,
Julio Blanco-Fernández
Abstract
The global environment, where many companies compete for their survival, requires a continuous adaptation to changes in the market and to other environment variables. Food industry, agriculture in particular, is a field where the companies are especially sensitive to modifications in regulations and market requirements. It is very convenient to provide the companies of this sector with a theoretical basis, as well as with practical tools for developing an efficient management that may guarantee not only their survival but also their success. In this area, decision-support systems based on the simulation of models, developed by means of the paradigm of the Petri nets, can offer a significant help for improving the efficiency of farming companies, based on the appropriate decision making. In this article, a methodology for decision making, supported by artificial intelligence, is applied to the farming field and an application case is analyzed for better understanding of the advantages and drawbacks of this approach. In particular, a decision-making methodology for improving the management of the operation and redesign of traditional companies in the farming industry is applied to the wine sector in the region of La Rioja (Spain).
Acknowledgements
This paper has been partially supported by the project of the University of La Rioja and Banco Santander (grant number API12-11) “Sustainable production and productivity in industrial processes: integration of energy efficiency and environmental impact in the production model for integrated simulation and optimization”.
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©2013 by Walter de Gruyter Berlin / Boston
Articles in the same Issue
- Masthead
- Masthead
- Editorial
- Special Issue “Selected Papers from the Workshop on Modelling and Simulation of Food Processing and Operations of the MAS 2012 Conference (Wien, September 19–21, 2012)”
- An Advanced Modeling & Simulation Tool for Investigating the Behavior of a Manufacturing System in the Hazelnuts Industry Sector
- Operation Strategies to Minimize Methanol Recovery in Batch Distillation of Hydroalcoholic Mixtures
- Decision Support in the Rioja Wine Production Sector
- A Simulation-Based Ergonomic and Operational Analysis for the Improvement of a Fish Processing Factory Ship
- Analysis and Design of Direct Steam Injection for Tomato Concentrate Sterilization
- Advanced Design of Industrial Mixers for Fluid Foods Using Computational Fluid Dynamics
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Articles in the same Issue
- Masthead
- Masthead
- Editorial
- Special Issue “Selected Papers from the Workshop on Modelling and Simulation of Food Processing and Operations of the MAS 2012 Conference (Wien, September 19–21, 2012)”
- An Advanced Modeling & Simulation Tool for Investigating the Behavior of a Manufacturing System in the Hazelnuts Industry Sector
- Operation Strategies to Minimize Methanol Recovery in Batch Distillation of Hydroalcoholic Mixtures
- Decision Support in the Rioja Wine Production Sector
- A Simulation-Based Ergonomic and Operational Analysis for the Improvement of a Fish Processing Factory Ship
- Analysis and Design of Direct Steam Injection for Tomato Concentrate Sterilization
- Advanced Design of Industrial Mixers for Fluid Foods Using Computational Fluid Dynamics
- Modeling and Thermo-Fluid Dynamic Simulation of a Fresh Pasta Pasteurization Process
