Modeling and Control of Flow shop Production Systems by Fuzzy Max-Plus Algebra

Author(s):  
A. A. Gorji ◽  
A. Doustmohammadi ◽  
M. B. Menhaj ◽  
N. Mohajerin
2020 ◽  
Vol 10 (15) ◽  
pp. 5027 ◽  
Author(s):  
Erik Kučera ◽  
Oto Haffner ◽  
Peter Drahoš ◽  
Ján Cigánek ◽  
Roman Leskovský  ◽  
...  

For the development of modern complex production processes in Industry 4.0, it is appropriate to effectively use advanced mathematical models based on Petri nets. Due to their versatility in modeling discrete-event systems, Petri nets are an important support in creating new platforms for digitized production systems. The main aim of the proposed article is to design a new software tool for modeling and control of discrete-event and hybrid systems using Arduino and similar microcontrollers. To accomplish these tasks, a new tool called PN2ARDUINO based on Petri nets is proposed able to communicate with the microcontroller. Communication with the microcontroller is based on the modified Firmata protocol hence, the control algorithm can be implemented on all microcontrollers that support this type of protocol. The developed software tool was successfully verified in control of laboratory systems. In addition, it can be used for education and research purposes as it offers a graphical environment for designing control algorithms for hybrid and mainly discrete-event systems. The proposed software tool can improve education and practice in cyber-physical systems (Industry 4.0).


2016 ◽  
Vol 25 (6) ◽  
pp. 065007 ◽  
Author(s):  
Ryan James Caverly ◽  
Chenyang Li ◽  
Eun Jung Chae ◽  
James Richard Forbes ◽  
Yin Lu Young

Author(s):  
Andre F. Caldeira ◽  
Christophe Prieur ◽  
Daniel Coutinho ◽  
Valter J. S. Leite

Author(s):  
Gen’ichi Yasuda

This chapter presents a systematic methodology for modeling and controlling productive tasks at the organization and coordination levels in advanced production systems, especially focusing on design and implementation aspects of lean production systems. Petri nets have been successfully introduced as an effective tool for describing control specifications and realizing the control. Nowadays, large-scale and complex production systems have a hierarchical structure, and the controllers are distributed according to their physical structure. Therefore, it is natural to realize the hierarchical and distributed management and control. In this chapter, to overcome some difficulties in the modeling of production systems with a large number of elements in Petri nets, High-Level Activity-Based Petri Nets (HAPN) are defined based on condition-event Petri nets. The high-level extended net representation of the production task flows can provide more synthetic specifications for consistent management and control of production systems by a top-down refinement methodology.


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