Analysis of a multimachine flexible manufacturing cell using stochastic Petri nets

In this article, a generalized stochastic Petri net model is developed to analyze the performance of a multimachine flexible manufacturing cell. The analyzed flexible manufacturing cell consists of one or more machine(s), a single conveyor, and a single robot. The conveyor transfers similar workpieces to the robot areas. Then, the robot loads parts onto the machines, which perform similar machining processes. The machines are subject to failure after a certain time due to tool wear or resetting. When a machine is in failure, a repair action is taken by the flexible manufacturing cell operator. A generalized stochastic Petri net model is constructed for a single-machine and three-machine flexible manufacturing cells, after which the suggested generalized stochastic Petri net model can be generalized to a flexible manufacturing cell with n machines. The obtained results provide an estimate of machine, robot, and operator utilization and production rates for the considered flexible manufacturing cell. Sensitivity analysis is carried out to illustrate the effect of the input parameters on the selected performance measures. The suggested model is tested using numerical examples and simulated using TimeNet tool.

[1]  Olfa Mosbahi,et al.  Reconfigurable Coordination of Distributed Discrete Event Control Systems , 2015, IEEE Transactions on Control Systems Technology.

[2]  Madhu Jain,et al.  Transient Analysis of Flexible Manufacturing Cell with Loading/Unloading Robot and Two Unreliable Machines , 2014 .

[3]  Alan A. Desrochers,et al.  Performance evaluation of automated manufacturing systems using generalized stochastic Petri nets , 1990, IEEE Trans. Robotics Autom..

[4]  Mustufa Haider Abidi,et al.  Analysis of performance measures of flexible manufacturing system , 2012 .

[5]  Abdulrahman Al-Ahmari,et al.  Nonpure Petri Net Supervisors for Optimal Deadlock Control of Flexible Manufacturing Systems , 2013, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[6]  Zhi Wu Li,et al.  Open Problems in Deadlock Control for Flexible Manufacturing Systems by Using Petri Nets , 2011 .

[7]  Cristian Mahulea,et al.  Petri Net Toolbox for MATLAB , .

[8]  Cristian Mahulea,et al.  SimHPN: a MATLAB toolbox for simulation, analysis and design with hybrid Petri nets ⋆ , 2012 .

[9]  Abdulrahman Al-Ahmari,et al.  Elementary‐Siphon‐Based Control Policy for Flexible Manufacturing Systems with Partial Observability and Controllability of Transitions , 2015 .

[10]  Cengiz Kahraman,et al.  Modeling a flexible manufacturing cell using stochastic Petri nets with fuzzy parameters , 2010, Expert Syst. Appl..

[11]  Christian Kelling TimeNET-Sim-a parallel simulator for stochastic Petri nets , 1995, Proceedings of Simulation Symposium.

[12]  Zhiwu Li,et al.  Decentralized Supervision of Petri Nets With a Coordinator , 2015, IEEE Transactions on Systems, Man, and Cybernetics: Systems.

[13]  Armin Zimmermann,et al.  Distributed Simulation of Colored Stochastic Petri Nets With TimeNET 4.0 , 2006, Third International Conference on the Quantitative Evaluation of Systems - (QEST'06).

[14]  Armin Zimmermann,et al.  Extending the software tool TimeNET by power consumption estimation of UML MARTE models , 2014, 2014 4th International Conference On Simulation And Modeling Methodologies, Technologies And Applications (SIMULTECH).

[15]  Mehmet Savsar,et al.  Modeling of machine failures in a flexible manufacturing cell with two machines served by a robot , 2008, Reliab. Eng. Syst. Saf..

[16]  MengChu Zhou,et al.  Short-Term Scheduling of Crude-Oil Operations: Enhancement of Crude-Oil Operations Scheduling Using a Petri Net-Based Control-Theoretic Approach , 2015, IEEE Robotics & Automation Magazine.

[17]  Abdulrahman Al-Ahmari,et al.  Optimal robotic cell scheduling with controllers using mathematically based timed Petri nets , 2016, Inf. Sci..

[18]  MengChu Zhou,et al.  Dynamic Low-Power Reconfiguration of Real-Time Systems With Periodic and Probabilistic Tasks , 2015, IEEE Transactions on Automation Science and Engineering.

[19]  Mohammad T. Khasawneh,et al.  Multimachine Flexible Manufacturing Cell Analysis Using a Markov Chain-Based Approach , 2015, IEEE Transactions on Components, Packaging and Manufacturing Technology.

[20]  Alessandro Giua,et al.  Design of Optimal Petri Net Controllers for Disjunctive Generalized Mutual Exclusion Constraints , 2015, IEEE Trans. Autom. Control..

[21]  MengChu Zhou,et al.  Modeling and performance analysis of a resource-sharing manufacturing system using stochastic Petri nets , 1990, Proceedings. 5th IEEE International Symposium on Intelligent Control 1990.

[22]  Cristian Mahulea,et al.  Analysis and simulation of manufacturing systems using SimHPN toolbox , 2011, 2011 IEEE International Conference on Automation Science and Engineering.

[23]  Zoran Gacovski,et al.  MODELLING OF QUEUES BY USING OF PETRI NET SIMULATOR , 2014 .

[24]  Armin Zimmermann Modeling and evaluation of stochastic Petri nets with TimeNET 4.1 , 2012, 6th International ICST Conference on Performance Evaluation Methodologies and Tools.

[25]  Cristian Mahulea,et al.  SimHPN: A MATLAB toolbox for continuous Petri nets , 2010, WODES.