Sequence of decisions on discrete event systems modeled by Petri nets with structural alternative configurations

Latorre-Biel, Juan-Ignacio; Jiménez‐Macías, Emilio; Pérez-Parte, Mercedes

doi:10.1016/j.jocs.2013.09.001

Cited by 15 publications

(8 citation statements)

References 17 publications

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“…These parameters can be called marking parameters. Moreover, a decision problem involving the design of a new system or a significant redesign of an existing one is probably related to a Petri net containing parameters in the incidence matrices, which can be called structural parameters [11]. The former is a relatively common problem in the scientific literature, while the latter is a much scarcer case.…”

Section: Petri Nets In Decision Support Systemsmentioning

confidence: 99%

Petri Net Models Optimized for Simulation

Latorre-Biel¹,

Jiménez‐Macías²

2019

Simulation Modelling Practice and Theory

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Petri nets and simulation are a modeling paradigm and a tool, respectively, which may be successfully combined for diverse applications, such as performance evaluation, decision support, or training on complex systems. Simulation may require significant computer resources; hence, in this chapter, two Petri net-based formalisms are analyzed for profiting from their respective advantages for modeling, simulation, and decision-making support: a set of alternative Petri nets and a compound Petri net. These formalisms, as well as the transformation algorithms between them, are detailed and an illustrative example is provided. Among the main advantages of these formalisms, their intuitive application for modeling discrete event systems in the process of being designed, as well as the compactness that may present the resulting model, in the case of a compound Petri net, leading to efficient decision making, can be mentioned.

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Section: Petri Nets In Decision Support Systemsmentioning

confidence: 99%

Petri Net Models Optimized for Simulation

Latorre-Biel¹,

Jiménez‐Macías²

2019

Simulation Modelling Practice and Theory

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“…For example, the layout of the components of the system is a feature related to its structure. On the contrary, the dynamics or evolution of some of these components, such as raw materials supply, human resources, or communication packets, is associated with its behavior [19]. In a Petri net model, the structural features of a DES are explicitly represented in the so-called incidence matrices.…”

Section: Complexitymentioning

confidence: 99%

Equivalent and Efficient Optimization Models for an Industrial Discrete Event System with Alternative Structural Configurations

2018

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Discrete event systems in applications, such as industry and supply chain, may show a very complex behavior. For this reason, their design and operation may be carried out by the application of optimization techniques for decision making in order to obtain their highest performance. In a general approach, it is possible to implement these optimization techniques by means of the simulation of a Petri net model, which may require an intensive use of computational resources. One key factor in the computational cost of simulation-based optimization is the size of the model of the system; hence, it may be useful to apply techniques to reduce it. This paper analyzes the relationship between two Petri net formalisms, currently used in the design of discrete event systems, where it is usual to count on a set of alternative structural configurations. These formalisms are a particular type of parametric Petri nets, called compound Petri nets, and a set of alternative Petri nets. The development of equivalent models under these formalisms and the formal proof of this equivalence are the main topics of the paper. The basis for this formal approach is the graph of reachable markings, a powerful tool able to represent the behavior of a discrete event system and, hence, to show the equivalence between two different Petri net models. One immediate application of this equivalence is the substitution of a large model of a system by a more compact one, whose simulation may be less demanding in the use of computational resources.

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“…This system is based on obtaining a model of the system using the formalism of the alternatives aggregation Petri nets [23][24][25] and simulating it under different configurations of the system to select the configuration that better fits with the objective of the design and management of the company [26].…”

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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Sequence of decisions on discrete event systems modeled by Petri nets with structural alternative configurations

Cited by 15 publications

References 17 publications

Petri Net Models Optimized for Simulation

Petri Net Models Optimized for Simulation

Equivalent and Efficient Optimization Models for an Industrial Discrete Event System with Alternative Structural Configurations

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

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