Using PDE model and system dynamics model for describing multi-operation production lines
Autor: | Oleh Pihnastyi, Daria Yemelianova, Dmytro Lysytsia |
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Jazyk: | angličtina |
Rok vydání: | 2020 |
Předmět: |
Production line
Computer science 020209 energy 0211 other engineering and technologies Energy Engineering and Power Technology 02 engineering and technology PDE production model Industrial and Manufacturing Engineering Synchronization Management of Technology and Innovation 021105 building & construction lcsh:Technology (General) 0202 electrical engineering electronic engineering information engineering Production (economics) Applied mathematics lcsh:Industry Electrical and Electronic Engineering Special case pde production model Applied Mathematics Mechanical Engineering technological route Division (mathematics) Computer Science Applications System dynamics Flow (mathematics) Control and Systems Engineering Control system system dynamics lcsh:T1-995 lcsh:HD2321-4730.9 production line |
Zdroj: | Eastern-European Journal of Enterprise Technologies, Vol 4, Iss 4 (106), Pp 54-60 (2020) |
ISSN: | 1729-4061 1729-3774 |
Popis: | Two classes of models for describing production flow lines are analyzed. The use of models of these classes for the design of highly efficient control systems of production lines, the technological route of which consists of a large number of technological operations, is analyzed. The division of the technological route into a large number of operations is caused by the development trend of modern production lines. Synchronization of production line equipment performance is provided by an accumulating buffer. A formalized description of the production line was used as a foundation for constructing equations for each models class. The common features of using each models class in the description of production systems, as well as the conditions for their application, are shown. The form of the system dynamics model and PDE model equations is substantiated. The assumption about a deterministic rate of processing parts and the absence of a time delay and feedback between the parameters of technological operations was made when deriving the equations. The use of generalized technological operations in the system dynamics model as a way to reduce the number of model equations is discussed. Two limiting transitions from the PDE model equations to the system dynamics equations are demonstrated. It is shown that the system dynamics equations are a special case of the PDE model equations, the result of the aggregation of production line parameters within the technological operation. The method for constructing level equations for the system dynamics model is substantiated. For production lines with a different number of operations, the solution to the problem of processing parts along a production line is presented. The comparative analysis of the solutions obtained using the system dynamics and PDE model equations is obtained {"references":["1. GOST 3.1109.82. Terminy i opredeleniya osnovnyh ponyatiy (2003). Gosstandart Rossii, 15.","2. Lefeber, A. J., Armbruster, H. D. (2007). Aggregate modeling of manufacturing systems. Eindhoven: Technische Universiteit Eindhoven.","3. Perdaen, D., Armbruster, D., Kempf, K., Lefeber, E. (2008). Controlling a re-entrant manufacturing line via the push–pull point. International Journal of Production Research, 46 (16), 4521–4536. doi: https://doi.org/10.1080/00207540701258051","4. Vollmann, T. E., Berry, L., Whybark, D. C., Jacobs, F. R. (2005). Manufacturing Planning and Control for Supply Chain Management. McGraw-Hill, 576.","5. Armbruster, D., Ringhofer, C., Jo, T.-C. (2004). Continuous models for production flows. Proceedings of the 2004 American Control Conference. doi: https://doi.org/10.23919/acc.2004.1384034","6. Liang, Z. (2009). System-theoretic properties of Production Lines. University of Michigan, 289.","7. Berg, R. (2004). Partial differential equations in modelling and control of manufacturing systems. Eindhoven Univ. Technol, 157","8. Forrester, J. W. (1961). Industrial Dynamics. Cambridge: M.I.T. Press, 464","9. Pihnastyi, O. M. (2018). Statistical theory of control systems of the flow production. LAP LAMBERT Academic Publishing, 436.","10. Shkurba, V. V., Boldyreva, V. A., V'yun, A. A. (1975). Planirovanie diskretnogo proizvodstva v usloviyah ASU. Kyiv: Tehnika, 296.","11. Coyle, R. G. (1996). System Dynamics Modelling: A Practical Approach. Chapman & Hall, 432.","12. Wolstenholme, E. F. (1990). System Enquiry: A System Dynamics Approach. John Wiley & Sons Inc., 258.","13. Wolstenholme, E. (2004). Using generic system archetypes to support thinking and modelling. System Dynamics Review, 20 (4), 341–356. doi: https://doi.org/10.1002/sdr.302","14. Goodman, M. R. (1974). Study Notes in System Dynamics. Cambridge: Wright-Allen Press, 388.","15. Burns, J. R., Ulgen, O. (2002). A Component Strategy for the Formulation of System Dynamics Models. System Dynamics Conference.","16. Demuckij, V. P., Pihnastaja, V. S., Pihnastyi, O. M. (2003). Theory of the enterprise: the stability of the functioning of mass production and promotion of products on the market. Kharkiv: KhNU, 272. doi: http://doi.org/10.13140/RG.2.1.5018.7123","17. Armbruster, D., Marthaler, D. E., Ringhofer, C., Kempf, K., Jo, T.-C. (2006). A Continuum Model for a Re-entrant Factory. Operations Research, 54 (5), 933–950. doi: https://doi.org/10.1287/opre.1060.0321","18. Armbruster, D., Marthaler, D., Ringhofer, C. (2003). Kinetic and Fluid Model Hierarchies for Supply Chains. Multiscale Modeling & Simulation, 2 (1), 43–61. doi: https://doi.org/10.1137/s1540345902419616","19. Lefeber, E. (2005). Nonlinear Models for Control of Manufacturing Systems. Nonlinear Dynamics of Production Systems, 71–83. doi: https://doi.org/10.1002/3527602585.ch5","20. Wolstenholm, E. (1980). Designing and assessing the benefits of control policies for conveyor belt systems in underground mines. Dynamica, 6 (2), 25–35.","21. Lopes, T. C., Sikora, C. G. S., Michels, A. S., Magatão, L. (2017). Mixed-model assembly lines balancing with given buffers and product sequence: model, formulation comparisons, and case study. Annals of Operations Research, 286 (1-2), 475–500. doi: https://doi.org/10.1007/s10479-017-2711-0","22. Pihnastyi, O. M., Khodusov, V. D. (2018). Optimal Control Problem for a Conveyor-Type Production Line. Cybernetics and Systems Analysis, 54 (5), 744–753. doi: https://doi.org/10.1007/s10559-018-0076-2","23. Pignasty, O. M. (2015). Review of governance models production lines manufacturing systems. Nauchnye vedomosti Belgorodskogo gosudarstvennogo universiteta. Seriya: Ekonomika. Informatika, 34 (1), 137–152.","24. Tian, F., Willems, S. P., Kempf, K. G. (2011). An iterative approach to item-level tactical production and inventory planning. International Journal of Production Economics, 133 (1), 439–450. doi: https://doi.org/10.1016/j.ijpe.2010.07.011","25. Pignastyy, O. M., Zaruba, V. Ya. (2013). Kontinual'noe modelirovanie proizvodstva na potochnyh liniyah. Mul'tikonferentsiya po problemam upravleniya: tezisy dokladov 6-oy Vserossiyskoy nauchno-prakticheskoy konferentsii (MKPU-2013). Vol. 3. Rostov-na-Donu: Izd-vo Yuzhnogo federal'nogo universiteta, 157–161.","26. Pihnastyi, O. (2016). Statistical validity and derivation of balance equations for the two-level model of a production line. Eastern-European Journal of Enterprise Technologies, 5 (4 (83)), 17–22. doi: https://doi.org/10.15587/1729-4061.2016.81308","27. Аzarenkov, N. А., Pignasty, O. M., Khodusov, V. D. (2011). To the question of similarity of technological processes of the industrial technical systems. Dopovidi Natsionalnoi akademiyi nauk Ukrainy, 2, 29–35."]} |
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