Publications

F.P. Santos, A.P. Teixeira, C. Guedes Soares, "Production regularity assessment using stochastic Petri nets with predicates", Maritime Engineering and Technology, Guedes Soares et al. (Eds),Taylor & Francis Group, London, pp. 441-450

Generalized stochastic Petri nets (GSPN’s) coupled with Monte Carlo simulation (MCS) are presented in this paper as a flexible method for assessing the system production regularity quantified by its throughput capacity distribution (PDC). The PDC describes the probability distribution of the various levels of production of the system, which can be obtained by simulation or by analytical methods based on Markov modelling. Although more computational effort is required by the simulation methods, this approach is less restricted in modelling complex systems and, consequently, in the assessment of the performance and regularity of real production systems, as will be demonstrated in the present paper. The basic concepts of analytical and simulations approaches to assess system production regularity in terms of PDC are presented. One case study with two different straightforward maintenance considerations is used to show the applicability of both approaches. A short comparison of the results obtained is drawn and the merits of using the simulation approach are enhanced.

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