Person: Latorre Biel, Juan Ignacio
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Latorre Biel
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Juan Ignacio
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ISC. Institute of Smart Cities
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0000-0003-4642-7977
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Publication Open Access Compound Petri nets and alternatives aggregation Petri nets: two formalisms for decision-making support(SAGE, 2016) Latorre Biel, Juan Ignacio; JimĆ©nez MacĆas, Emilio; PĆ©rez de la Parte, Mercedes; SĆ”enz DĆez, Juan Carlos; MartĆnez CĆ”mara, Eduardo; Blanco FernĆ”ndez, Julio; IngenierĆa MecĆ”nica, EnergĆ©tica y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaDecision-making in technological systems, such as communication networks, manufacturing facilities and supply chains, constitutes a common requirement able to lead companies galore to success or failure. This article presents a decisionmaking methodology, where the feasible structural configurations to be analysed are chosen heuristically in the frame of a single optimization problem. For stating the optimization problem and solving it efficiently, appropriate formalisms would be used. Compound Petri nets, a particular kind of parametric Petri nets, and alternatives aggregation Petri nets, are two Petri netābased formalisms able to integrate in the same model different alternative structural configurations. Moreover, even having different characteristics that might make them useful for different applications, both formalisms present common features, such as including a set of exclusive entities and the possibility of developing compact Petri net models, by the removal of redundant information. This article is also focused on the transformation algorithm between compound Petri nets and alternatives aggregation Petri nets. This algorithm is devoted to transform a model described by one of the formalisms into an equivalent model, that is, with the same behaviour, represented using the other formalism. Finally, several application examples are given for illustrating the steps of the transformation algorithm.Publication Open Access Development of an inexpensive rollover energy dissipation device to improve safety provided by ROPS(Elsevier, 2019) Latorre Biel, Juan Ignacio; Ballesteros EgĆ¼Ć©s, TomĆ”s; Arana Navarro, Ignacio; Alfaro LĆ³pez, JosĆ© RamĆ³n; IngenierĆa; Ingeniaritza; Institute of Smart Cities - ISCPublication Open Access Control of discrete event systems by means of discrete optimization and disjunctive colored PNs: application to manufacturing facilities(Hindawi, 2014) Latorre Biel, Juan Ignacio; JimĆ©nez MacĆas, Emilio; PĆ©rez de la Parte, Mercedes; Blanco FernĆ”ndez, Julio; MartĆnez CĆ”mara, Eduardo; IngenierĆa MecĆ”nica, EnergĆ©tica y de Materiales; Mekanika, Energetika eta Materialen IngeniaritzaArtificial intelligence methodologies, as the core of discrete control and decision support systems, have been extensively applied in the industrial production sector. The resulting tools produce excellent results in certain cases; however, the NP-hard nature of many discrete control or decision making problems in the manufacturing area may require unaffordable computational resources, constrained by the limited available time required to obtain a solution. With the purpose of improving the efficiency of a control methodology for discrete systems, based on a simulation-based optimization and the Petri net (PN) model of the real discrete event dynamic system (DEDS), this paper presents a strategy, where a transformation applied to the model allows removing the redundant information to obtain a smaller model containing the same useful information. As a result, faster discrete optimizations can be implemented.This methodology is based on the use of a formalism belonging to the paradigmof thePNfor describingDEDS, the disjunctive colored PN. Furthermore, the metaheuristic of genetic algorithms is applied to the search of the best solutions in the solution space. As an illustration of the methodology proposal, its performance is compared with the classic approach on a case study, obtaining faster the optimal solution.Publication Open Access Equivalent and efficient optimization models for an industrial discrete event system with alternative structural configurations(Hindawi / Wiley, 2018) Latorre Biel, Juan Ignacio; JimĆ©nez MacĆas, Emilio; PĆ©rez de la Parte, Mercedes; Institute of Smart Cities - ISCDiscrete 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.