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Performance evaluation of a carousel configured multiple products flexible manufacturing system using Petri net

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Abstract

This study presents a schematic approach to model, simulate and analyze the overall performance of an FMS, comprising a carousel layout surrounded by manufacturing and assembly cells capable to deliver a variety of multiple products. All manufacturing and assembly cells are consisting of multiple multifunctional production and assembly machines, served by material loading and unloading robots, connected through a material transporting conveyor. Inter-cellular and intra-cellular routing flexibility are employed in the system through production resources operational and breakdown modes. Colored Petri net tools are used to develop a compact, editable and deadlock-free flexible manufacturing system model reveals important information about dynamic behavior and system performance measures e.g.; throughput, mean cycle time, and work-in-process (WIP) with reference to material handling and supply system, production resources reliability and process execution input variables. Variation in input factors namely mean machining and assembly time, material loading and unloading time, number of operations between failure, repair time, parts inter-arrival time, conveyor speed and buffer capacity have shown a substantial effect on the system performance. The results indicate successful applicability of colored Petri net tools for modelling, simulation, and evaluation of carousel configured multiple products flexible manufacturing system. Further, the optimal solution represents a deep relationship between the different production modes and responses to maximize the performance of a carousel configured multiple products FMS.

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References

  • Aized TJC, Engineering I (2009) Modelling and performance maximization of an integrated automated guided vehicle system using coloured. Petri net and response surface methods 57(3):822–831

    Google Scholar 

  • Aized, T., Takahashi, K., Hagiwara, I. 2007a. Modeling and performance optimization of multiple product FMS using colored Petri net and response surface methods. 2007 IEEE international symposium on assembly and manufacturing. IEEE pp 94-99

  • Aized T, Takahashi K, Hagiwara, I.J.J.o.A.C.I., Informatics, I (2007b) Advanced multiple product flexible manufacturing system modelling using. Coloured Petri Net 11(6):715–723

    Google Scholar 

  • Al-Ahmari A, Li ZJAIME (2016) Analysis of a multimachine flexible manufacturing cell using stochastic. Petri Nets 8(11):1687814016680168

    Google Scholar 

  • Al-Aomar, R. 2000. Product-mix analysis with discrete event simulation. Proceedings of the 32nd conference on Winter simulation. Society for Computer Simulation International. Pp. 1385-1392

  • Al-Kahtani, M., Safitra, M., Riyadh, K., Ahmad, A., Al-Ahmari, A. 2014. Cost-benefit analysis of flexible manufacturing systems. Proceedings of 2014 International conference on industrial Engineering and operations Management, Bali, Indonesia

  • Barad, M.J.A.M. 2016. Petri Nets—a versatile modeling structure. 7(09), 829

  • Bo, Y., Wang, Y., Wan, Z.J.J.o.A.T. 2019. Optimizing the WEEE Recovery Network Associated with Environmental Protection Awareness and Government Subsidy by Nonlinear Mixed Integer Programming 2019

  • Bottani, E., Centobelli, P., Cerchione, R., Gaudio, L., Murino, T.J.I.J.o.I.E.C. 2017. Solving machine loading problem of flexible manufacturing systems using a modified discrete firefly algorithm. 8(3), 363–372

  • Čapkovič, F. 2015. Modelling a robotic cell and analysis its throughput by Petri nets. Asian Conference on Intelligent Information and Database Systems Springer pp 263–272

  • Da CV, Buktarb RB, Bholec KJN (2016) Modeling and simulation of a manufacturing system by using time. Petri Net 1(6):8

    Google Scholar 

  • Ebrahimi, A., Sajadi, S.M., Roshanzamir, P., Azizi, M.J.I.j.E., Management, Sciences, S 2015. Determining the Optimal Performance of Flexible Manufacturing Systems using Network Analysis and Simulation Process 4(1), 12–17

  • Esmaeilian, B., Behdad, S., Wang, B.J.J.o.M.S. 2016. The evolution and future of manufacturing: A review. 39, 79–100

  • Florescu, A., Barabas, S.A. 2018. Simulation tool for assessing the performance of a flexible manufacturing system. IOP Conference Series: Materials Science and Engineering. IOP Publishing. pp. 012023

  • Groover Jr, M.P. 1980. Automation, production systems and computer-aided manufacturing. Prentice Hall PTR

  • Gupta, D., Buzacott, J.A.J.J.O.M.S. 1989. A framework for understanding flexibility of manufacturing systems. 8(2), 89–97

  • Jensen, K., Rozenberg, G. 2012. High-level Petri nets: theory and application. Springer Science & Business Media

  • Kaid, H., El-Tamimi, A.M., Nasr, E.A., Al-Ahmari, A. 2015. Applications of Petri nets based models in manufacturing systems: A review. Proceedings of the International Conference on Operations Excellence & Service Engineering, Orlando, FL. pp. 516–28

  • Kim, C., Lee, T.-E.J.I.J.o.P.R. 2013. Modelling and simulation of automated manufacturing systems for evaluation of complex schedules. 51(12), 3734–3747

  • Kostal, P., Velisek, K.J.W.A.O.S., Engineering, Technology. 2010. Flexible manufacturing system. 53, 825–829

  • Kucera, E. 2015. Modelling of stotage/manufactruing systems uisng coloured Petri nets

  • Kumar BS, Mahesh V, Kumar BSJIJoCER (2015) Modeling and analysis of flexible manufacturing system with. FlexSim. 5(10):1–6

    Google Scholar 

  • Mallikarjuna, K., Veeranna, V., Reddy, K.H.C.J.I.J.o.A.i.E., Technology. 2013. Optimum Design of Loop Layout in Flexible Manufacturing System-An Approach of Metaheuristics. 6(4), 1693

  • Marin JM, Romero NH, Mora J, Gomez ESMJWASETIJCEACIE (2016) Modeling and simulation of flow shop scheduling problem through. Petri net tools 10:936–940

    Google Scholar 

  • Mohamed, S.T., Mostafa, M.A.G., Mohamed, A.F.J.t. 2013. A comparative study on Petri Nets in manufacturing applications 1, T1

  • More, M.S.S., Bhatwadekar, S., Ambekar, M.M. 2017. Analysis of Flexible Manufacturing System using Petri Nets to design a Deadlock Avoidance Policy

  • Narain, R., Yadav, R., Sarkis, J., Cordeiro, J.J.J.I.J.o.A.M.S. 2000. The strategic implications of flexibility in manufacturing systems. 2(3), 202–213

  • Negahban A, Smith JSJJoMS (2014) Simulation for manufacturing system design and operation. Literature review and analysis 33(2):241–261

    Google Scholar 

  • O’Grady, P.J.C.i.i. 1989. Flexible manufacturing systems: present development and trends. 12(3), 241–251

  • Peng, Y., Van Brussel, H. 1994. Modelling, simulation, and control of FMS using Petri nets. Proceedings of the Fourth International Conference on Computer Integrated Manufacturing and Automation Technology. IEEE. Pp. 248-253

  • Rai, R., Jayswal, S.J.I.J.A.T. 2018. Design and optimization of loop layout in flexible manufacturing system using particle swarm optimization 9(2)

  • Raj T, Shankar R, Suhaib, M.J.I.J.o.F.M.S. (2007) A review of some issues and identification of some barriers in the implementation of. FMS. 19(1):1–40

  • Saren, S.K., Blaga, F., Vesselenyi, T. 2017a. Identification of detailed behaviour of flexible manufacturing cell using hierarchical timed Coloured Petri nets. MATEC Web of Conferences. EDP Sciences. pp. 01011

  • Saren, S.K., Blaga, F., Vesselenyi, T.J.A.T.N.-S.A.M., MECHANICS,, ENGINEERING. 2017b. PRIORITY RULE BASED SIMULATION APPROACH TO HIERARCHICAL TIMED COLORED PETRI NETS FOR FLEXIBLE MANUFACTURING CELLS 60(2)

  • Shang JJIJoPR (1995) Robust design and optimization of material handling in an. FMS. 33(9):2437–2454

    Google Scholar 

  • Shivhare M, Bansal, S.J.I.J.O.S.E., Application, I (2014) Layout optimization in flexible manufacturing system using particle swarm optimization in. Matlab. 8(7):55–64

    Google Scholar 

  • Singh, R., Singh, R., Khan, B.J.W.J.o.E., Technology. 2015. A Critical Review of Machine Loading Problem in Flexible Manufacturing System. 3(04), 271

  • Stecke, K.E. 1989. Design and operating issues in flexible manufacturing. In: Progress in Materials Handling and Logistics, springer, pp. 291-299

  • Su, P., Wu, N., Yu, Z.J.I.J.O.P.R. 2014. A Petri net-based heuristic for mixed-model assembly line balancing problem of Type-E 52(5), 1542–1556

  • Sundarani, S., Qureshi, M.J.V.O.R. 2017. Study of adoption barriers for flexible manufacturing system in industry. 5(4), 64–67

  • Vamsikrishna, C., Padmanabhan, G. 2016. Role of Petri Nets in Flexible Manufacturing System–A Review

  • Wan, Z., Wu, H., Dai, L.J.A.M.M. 2018. A polymorphic uncertain equilibrium model and its deterministic equivalent formulation for decentralized supply chain management. 58, 281-299

  • Zhang, X., Huang, S., Wan, Z.J.O.R. 2018. Stochastic programming approach to global supply chain management under random additive demand. 18(2), 389-420

  • Zhang, J., Liu, J., Wan, Z.J.J.O.A.T. 2019. Optimizing Transportation Network of Recovering End-of-Life Vehicles by Compromising Program in Polymorphic Uncertain Environment 2019

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Acknowledgements

Authors acknowledge University of Engineering and Technology, Lahore (UET, Lahore), Pakistan for providing financial support for this study through Notification No. ORIC/101-ASRB/4443 dated 08-11-2017.

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Authors and Affiliations

  1. Department of Mechanical Engineering, University of Engineering and Technology, Lahore, Pakistan

    Hafiz Zahid Nabi & Tauseef Aized

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  1. Hafiz Zahid Nabi
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  2. Tauseef Aized
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Correspondence to Tauseef Aized.

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Appendices

Appendix A

Abbreviations

Meaning

FMS

Flexible manufacturing system

FMC

Flexible manufacturing Cell

WIP

Work-in-process

AGV

Automated guided vehicle

MMT

Mean machining time

MAT

Mean assembly time

MTTR

Mean time-to-repair

MLT

Mean loading time

IAT

Inter-arrival time

BC

Buffer capacity

NOBF

Number of operations between failure

CS

Conveyor speed

DEDS

Discrete event dynamical system

ANOVA

Analysis of variance

DoE

Design of experiment

RSM

Response Surface method

PNs

Petri nets

CPN

Coloured Petri net

ML

Meta language

Appendix B

figure b

Manufacturing Cells of FMS

figure c

Assembly cells of FMS

Appendix C

Table 6 Table 5
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Nabi, H.Z., Aized, T. Performance evaluation of a carousel configured multiple products flexible manufacturing system using Petri net. Oper Manag Res 13, 109–129 (2020). https://doi.org/10.1007/s12063-020-00151-2

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