Abstract
The goal of this paper is to compare the two simulation environments of FlexSim and GPenSIM, for manufacturing simulations. A discrete-event system in material handling is taken as a case study, and this system is modeled and simulated with FlexSim and GPenSIM. The motivation of this paper is to share the experiences from this simulation study. Firstly, this paper introduces the simulation tools the FlexSim and the GPenSIM. Secondly, a case study is presented that involves an elevator as a part of a shuttle-based storage and retrieval system in a modern manufacturing facility. Since the goal and scope of this paper is limited to comparing the two simulation environments, this paper uses simple elevator algorithms (the Standard Elevator Algorithm). The experience received from the experiment are analyzed under three categories such as easiness of using, the possibility for integration with other tools and techniques, and the suitability for manufacturing simulation. The experience received from the experiment show that FlexSim being a commercial software is far easier to use and offer a dedicated environment for manufacturing simulation. Whereas, GPenSIM provides a general platform for modeling any discrete-event systems, and provide easy integration with the other tools that are available on the MATLAB platform.
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References
Rewers, P., Trojanowska, J., Diakun, J., Rocha, A., Reis, L.P.: A study of priority rules for a levelled production plan. In: Hamrol, A., Ciszak, O., Legutko, S., Jurczyk, M. (eds.) Advances in Manufacturing. LNME, pp. 111–120. Springer, Cham (2018)
Swain, J.J.: Simulation software survey—simulation: new and improved reality show. OR/MS Today 44(5), 38–49 (2017)
Krenczyk, D., Jagodzinski, M.: ERP, APS and simulation systems integration to support production planning and scheduling. In: Advances in Intelligent Systems and Computing, vol. 368, pp. 451–461 (2015)
Krenczyk, D., Skolud, B., Olender, M.: Semi-automatic simulation model generation of virtual dynamic networks for production flow planning. In: IOP Conference Series: Materials Science and Engineering, vol. 145, p. 042021 (2016)
Beaverstock, M., Greenwood, A.G., Lavery, E., Nordgren, B.: Applied Simulation: Modeling and Analysis Using FlexSim. FlexSim Software Products, Inc. (2017)
Davidrajuh, R.: Modeling Discrete-Event Systems with GPenSIM: An Introduction. Springer, Dordrecht (2018)
GPenSIM: A General Purpose Petri Net Simulator. http://www.davidrajuh.net/gpensim. Accessed 15 Dec 2017
Skolud, B., Krenczyk, D., Davidrajuh, R.: Solving repetitive production planning problems. An approach based on activity-oriented Petri nets. In: Advances in Intelligent Systems and Computing, vol. 527, pp. 397–407 (2017)
Barney, G., Al-Sharif, L.: Elevator Traffic Handbook: Theory and Practice. Routledge, Abingdon (2015)
Crites, R.H., Barto, A.G.: Elevator group control using multiple reinforcement learning agents. Mach. Learn. 33(2–3), 235–262 (1998)
Nikovski, D., Brand, M.: Decision-theoretic group elevator scheduling. In: ICAPS, vol. 3, pp. 9–13 (2003)
Kamalu, U., Ogunleke, F.: Implementation of a four-floor programmable logic controlled elevator system. Int. J. Sci. Eng. Res. 9(6), 969–985 (2018)
Osama, M., Abdul Azim, O.: Implementation and performance analysis of an elevator electric motor drive system. In: 12th International Middle-East Power System Conference, MEPCON 2008, pp. 114–118. IEEE (2008)
Yang, H., Sun, W., Xu, B.: New investigation in energy regeneration of hydraulic elevators. IEEE/ASME Trans. Mechatron. 12(5), 519–526 (2007)
Ning, Z., Lei, L., Saipeng, Z., Lodewijks, G.: An efficient simulation model for rack design in multi-elevator shuttle-based storage and retrieval system. Simul. Model. Pract. Theory 67, 100–116 (2016)
Ekren, B.Y., Heragu, S.S.: Simulation based regression analysis for the rack configuration of autonomous vehicle storage and retrieval system. Int. J. Prod. Res. 48(21), 6257–6274 (2010)
Ekren, B.Y., Heragu, S.S.: Approximate analysis of load dependent general queuing networks with low service time variability. Eur. J. Oper. Res. 205, 381–389 (2010)
Lerher, T.: Design of experiments for identifying the throughput performance of shuttle-based storage and retrieval systems. Procedia Eng. 187, 324–334 (2017)
https://www.muratec-usa.com/ automated storage and retrieval systems (AS/RS)
Kosanić, N., Milojević, G., Zrnic, N.: A survey of literature on shuttle based storage and retrieval systems. FME Trans. 46, 400–409 (2018)
Marchet, G., Melacini, M., Perotti, S., Tappia, E.: Analytical model to estimate performances of autonomous vehicle storage and retrieval systems for product totes. Int. J. Prod. Res. 50(24), 7134–7148 (2012)
Luo, F., Xu, Y.G., Cao, J.Z.: Elevator traffic flow prediction with least squares support vector machines. In: Proceedings of 2005 International Conference on Machine Learning and Cybernetics, vol. 7, pp. 4266–4270. IEEE (2015)
Ma, Y., Jiang, Z.: Task-oriented analysis and design method for developing PLC programs for mechanical system control. In: 2010 International Conference on Measuring Technology and Mechatronics Automation (ICMTMA), vol. 3, pp. 726–729. IEEE (2010)
Krenczyk, D., Kempa, M.W., Kalinowski, K., Grabowik, C., Paprocka, I.: Integration of manufacturing operations management tools and discrete event simulation. In: IOP Conference Series: Materials Science and Engineering, vol. 400, p. 022037 (2018)
Davidrajuh, R., Skolud, B., Krenczyk, D.: Performance evaluation of discrete-event systems with GPenSIM. Computers 7(1), 8 (2018)
Complete Code for the Examples. http://www.davidrajuh.net/gpensim/Pub/2019/MANU/
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Krenczyk, D., Davidrajuh, R., Skolud, B. (2019). Comparing Two Methodologies for Modeling and Simulation of Discrete-Event Based Automated Warehouses Systems. In: Hamrol, A., Kujawińska, A., Barraza, M. (eds) Advances in Manufacturing II. MANUFACTURING 2019. Lecture Notes in Mechanical Engineering. Springer, Cham. https://doi.org/10.1007/978-3-030-18789-7_15
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