Petri nets with exclusive entities for decision making

Latorre, J.I.; Jiménez, E.

doi:10.1504/ijspm.2013.055178

Cited by 4 publications

(4 citation statements)

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“…Capacity of the barrels for the malolactic or secondary fermentation. c 16 . Capacity of the barrels for the wine ageing.…”

Section: The Marking Controllable Parametersmentioning

confidence: 99%

“…The authors of the this article have developed an integrated decision-making methodology especially suited for this complex environment, where the networks of commercial relations between farmers, cooperatives, wineries, and distribution companies can be arranged in very different ways, leading to models with alternative structural configurations [15,16].…”

Section: Introductionmentioning

confidence: 99%

“…This methodology is based on the modelling of the system in a compact representation made by means of a formalism that includes all the alternative structural configurations in the so-called set of exclusive entities [16]. Several different formalisms allow representing the system, profiting from the features of the different alternative structural configurations to obtain a compact model of the system.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Decision Support in the Rioja Wine Production Sector

Latorre-Biel

Jiménez‐Macías

Blanco‐Fernández

et al. 2013

International Journal of Food Engineering

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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).

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“…Capacity of the barrels for the malolactic or secondary fermentation. c 16 . Capacity of the barrels for the wine ageing.…”

Section: The Marking Controllable Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Decision Support in the Rioja Wine Production Sector

Latorre-Biel

Jiménez‐Macías

Blanco‐Fernández

et al. 2013

International Journal of Food Engineering

View full text Add to dashboard Cite

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“…The development of a DSS is described in Latorre and Jiménez [20] and refined in Latorre et al [21] with an application in the wine-making industry. A Petri net model of a winery in process of being designed is developed with the formalism of the alternatives aggregation Petri nets with the purpose of supporting the design of a winery [22], as well as its future management.…”

Section: Introductionmentioning

confidence: 99%

Optimal Design of an Olive Oil Mill by Means of the Simulation of a Petri Net Model

Latorre-Biel

Jiménez‐Macías

Blanco‐Fernández

et al. 2014

International Journal of Food Engineering

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Global concurrence is a topic that affects many companies in most sectors of the economy. In particular, the improvement in the manufacturing, packing, storage, and transportation of food has allowed farming companies from all over the world to compete for customers of a global market. In order to achieve success in this complex environment, it is convenient for the companies to be efficient even before the beginning of their business activity. This paper presents a decision support methodology for improving the design and management of an olive oil manufacturing facility based on the development of a Petri net model of the system, the simulation of its behaviour under a selected set of alternative configurations, and the choice of the most promising one by means of an optimization algorithm.

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