Plenary Lecture

Modelling Industrial Internet of Things Paradigms of Green Social Systems

Professor Calin I. Ciufudean
“Stefan Cel Mare” Universtity of Suceava
Faculty of Electrical Engineering and Computer Science
Department of Computers, Automatics and Electronics

Abstract: A major consideration in designing an Industrial Internet of Things (IIoT) system is its availability. When a machine or any other hardware or software component of the system fails, the system reconfiguration is often less than perfect. It is shown that, if these imperfections constitute even a very small percent of all possible system faults, the availability of the system may be considerably reduced. To analyze the system with failure/repair processes, Petri nets and Markov models are often used. As an IIoT system includes a large number of components with failure/repair processes, the system-level discrete event model becomes computationally intractable. Our approach for the analysis of IIoT systems assumes that the systems are decomposed in manufacturing cells in order to optimize the production and to diminish the waste materials. We focus on the diagnosis of the performance characteristics of workflows cells modelled with stochastic Petri nets (SPNs). This goal is achieved by using a new model for Green Social Systems (GSoSys) derived from the well-known Artificial Social Systems, and by introducing equivalent transfer functions for SPNs. Green Social Systems exist in practically every multi-agent system, and play a major role in the performance and effectiveness chart of the agents. This is the reason why we introduce a suggestive model for GSoSys. To model complex systems, such as IIoT ones, a class of Petri nets is developed, and briefly introduced. In the analysis of GSoSys modelled with SPN we use simulations with respect to timing parameters in a generalized semi-Markov process (GSMP). By using existing results on perturbation analysis (e.g., delays in supply with raw materials, equipment failure, etc.), and by extending them to new physical interpretations, we address unbiased sensitivity estimators correlated with practical solutions in order to attenuate the perturbations. The novelty of the approach is that the construction of large Markov chains is not required. Using a structural decomposition, the construction system is divided into cells. We can simplify the structure of the SPN using the presented approach, which is useful when we deal with complex Petri nets, and we need to simplify these structures (e.g. graphs) in order to analyze them properly. For each cell a Markov model was derived and the probability was determined for at least Ni working machines in cell i, for i = 1,2,..,n and Mj , where j=1, ..., m, working material handling system (MHS) at time t, where Ni and Mj satisfy the system production capacity requirements. Identification of bottlenecks and their optimal capacity for avoiding the machines downtime is considered as one of the most important problems in manufacturing systems. Some practical examples illustrate this approach, and we will also present some inventions which were realized with our students in the Laboratory of Discrete Event Systems.

Brief Biography of the Speaker: Calin Horatiu Ciufudean is Associate Professor Ph.D. Eng. with “Stefan cel Mare” University of Suceava, Faculty of Electrical Engineering and Computer Science, Department of Computers, Control Systems, and Electronics. Courses and laboratories: Industrial Control Systems Diagnosis, Discrete Event Systems; Researcher and projects director for over 34 research projects (national and international); Author of over 160 scientific papers published in scientific journals and conferences proceedings abroad and in Romania; Author of 20 books/book chapters published in Romania and abroad; Author or co-author of 32 inventions; Technical Expert of the Romanian Ministry of Justice; President of the Romanian Society of Electrical & Control Engineering, Suceava Branch. He is a member of the editorial boards of several international scientific journals and conferences of control systems and electric engineering science. He was designated chairmen and/or plenary speaker at 34 international conferences.

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