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![Figure 13 Detergents packing system modeled with Petri nets [9]](publication/353854898/figure/fig1/AS:1056153328959488@1628817984190/Detergents-packing-system-modeled-with-Petri-nets-9_Q320.jpg)
![Figure 18. Model with timed Petri nets. Variant 3 [10]](publication/353854898/figure/fig2/AS:1056153328963584@1628817984236/Model-with-timed-Petri-nets-Variant-3-10_Q320.jpg)
![Figure 21. Modelling of the inputs of the system -version 2. [11]](publication/353854898/figure/fig4/AS:1056153328959489@1628817984311/Modelling-of-the-inputs-of-the-system-version-2-11_Q320.jpg)
![Figure 26. The main model with colored Petri nets with simple colors. [13]](publication/353854898/figure/fig5/AS:1056153328967681@1628817984377/The-main-model-with-colored-Petri-nets-with-simple-colors-13_Q320.jpg)
The paper is a partial synthesis of the work that a team within the Faculty of Managerial and Technological Engineering has in the field of modeling and simulation of systems with Petri nets. The paper deals with three issues. The first part is Modeling and simulation of manufacturing systems with timed Petri nets. The first part presents the way i...
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Civil engineering is an important branch and always making human life safe and cheerfull. Researchers in the field of civil engineering are always enthusiastic and trying to overcome various challenges by providing advance solutions. The scope of civil engineering has widen considerably and it is demand of society to get better solutions through scientific research in various horizons of civil engineering. The better and durable structures, pleasant and healthy environment, better transport and automation to assist construction are some important topics included in this books through six chapters.
... Through simulation experiments, the effects of station processing time variability, bottleneck location, buffer size and buffer space distribution on production capacity were investigated. Blaga et al. [19] developed Petri net models for a variety of manufacturing systems modelled and simulated with coloured Petri nets, such as production lines for the textile industry and assembly lines for the consumer goods industry. His research extends the application of generalized hybrid-timed Petri nets. ...
Recent technological advancements and the evolution of industrial manufacturing paradigms have substantially increased the complexity of product-specific production systems. To reduce the time cost of modelling and verification and to enhance the degree of uniformity in the modelling process of system components, this article presents a componentised framework for domain modelling and performance analysis based on the concept of “multi-granularity and multi-view” for a production line of personalised and customised products, for plug-and-play manufacturing processes to involving a large number of model input parameters. The coloured Petri net tool is utilised as a simulation tool for mapping domain models to computational models for simulation and performance evaluation. This paper presents a method for setting the input parameters of a production system when using WIP, through-put and cycle time as metrics. The results of the performance analysis demonstrate the applicability of the proposed framework and provide direction for the production line’s layout design and scheduling strategy.
A Flexible Manufacturing Cell (FMC) is a system that consists of computer-integrated machines, automatic material handling systems, and robots. It produces different part types with minimal worker involvement. Many different methods, such as queuing systems and simulation models, have been applied in FMC modeling in the literature. This study aims to use Petri Nets (PN) in modelling complex FMCs. The study is carried out in the FMC located in the Advanced Manufacturing Systems Laboratory of Baskent University. The FMC consists of a CNC machining center, a material handling robot and a pallet, which has three work-piece carriage capacities. Processing times of FMC elements may vary due to reasons (the power usage performance, air supply efficiency, electrical power efficiency, etc.) arising from the mechanical structure of the system. This uncertainty needs to be taken into account when modeling the system. In this study, the uncertain (fuzzy) processing times associated with the transitions were caused by the mechanical structure of the system. In order to compare with the newly developed fuzzy models, the system was first modeled using Transition Time Petri Nets (TTPN), in which the running times associated with the transition times take precise values. On the other hand, for handling fuzzy values of the actual operating times in the FMC, two models namely, Partial-Fuzzy Transition Time Petri Nets (Partial-FTTPN) and Fuzzy Transition Time Petri Nets (FTTPN) are developed. The results of the three models are compared to analyze the benefits of combining “time uncertainties” resulting from the natural behavior of FMCs.
