A method for modelling the flow of objects to be machined in FMS using Enterprise Dynamics

• Autorzy: Osak-Sidoruk M , Gola A. , Świć A.
• Języki publikacji: EN

Abstrakty

EN

Owing to the complexity of technical and organizational problems that manufac-turing enterprises are faced with, there is a growing interest in methods and tools that aid design of manufacturing systems. These methods and tools can be applied both to reorganize the existing manufacturing systems and to design new ones. For this reason, computer simulations are widely used in production engineering. This paper presents the application of computer simulations when designing the subsystem known as ordering of objects in a flexible manufacturing system. The simulations were performed using the comprehensive simulation software Enterprise Dynamics.

Słowa kluczowe

EN

FMS; subsystem of objects ordering; Enterprise Dynamics; computer simulations

• Wydawca: Polskie Towarzystwo Promocji Wiedzy ; Lublin University of Technology
• Czasopismo: Applied Computer Science
• Rocznik: 2014
• Tom: Vol. 10, no 3
• Strony: 46--56
• Opis fizyczny: Bibliogr. 19 poz., fig., tab.

Twórcy

autor

Osak-Sidoruk M

• Lublin University of Technology, Mechanical Engineering Faculty, Institute of Technological Systems of Information, Nadbystrzycka 36, 20-618 Lublin, Poland

autor

Gola A.

• Lublin University of Technology, Management Faculty, Department of Enterprise Organization, Nadbystrzycka 38, 20-618 Lublin, Poland

autor

Świć A.

• Lublin University of Technology, Mechanical Engineering Faculty, Institute of Technological Systems of Information, Nadbystrzycka 36, 20-618 Lublin, Poland

Bibliografia

• [1] Narcisio M., Piera M.A., Guasch A.: A Methodology for Solving Logistic Optimization Problems through Simulation. Simulation-Transactions of the Society for Modeling And Simulation International, Vol. 86, Issue 5-6, 2010, pp. 369-389.
• [2] Wynn M. T. et al.: Business Process Simulation for Operational Decision Support. Business Process Management Workshops – September 2007, pp. 66-77.
• [3] Abd K., Abhary K., Marian R.: Simulation modeling and analysis of scheduling in robotic flexible assembly cells using Taguchi method. International Journal of Production Research, Vol. 52, Issue 9, 2014, pp. 2654-2666.
• [4] Pedrielli G. et al.: An HLA-based distributed simulation for networked manufacturing systems analysis. Journal of Simulation, Vol. 4, No. 6, 2012, pp. 1747-1778.
• [5] Rey G. Z. et al.: Reducing myopic behavior in FMS control: A semi-hierarchical simulation-optimization approach. Simulation Modelling Practice and Theory, Vol. 46, 2014, pp. 53-75.
• [6] Kadar B., Terkaj W., Sacco M.: Semantic Virtual Factory supporting interoperable modelling and evaluation of production systems. CIRP Annals Manufacturing Technology, Vol. 62, No. 1, 2013, pp. 443-446.
• [7] Gola A., Osak M.: Modelowanie podsystemu obrabiarek w ESP części klasy korpus w wykorzystaniem programu Enterprise Dynamics. Problemy Nauki i Techniki, Vol. 6, 2011, pp. 66-73 (in Polish).
• [8] Gola A., Konczal W.: RMS – system of the future or new trend in science? Advances in Science and Technology, Vol. 7, No. 20, 2013, pp. 35-41.
• [9] Terkaj W., Tolio T., Valente A.: A Review on Manufacturing Flexibility. [in:] TOLIO T. (ed.), Design of Flexible Production Systems, Springer, 2009, pp. 41-61, ISBN 978-3-540-85413-5.
• [10] Filho M.G., Barco C.F., Neto R.F.T.: Using Genetic Algorithms to solve scheduling problems on flexible manufacturing systems (FMS): a literature survey, classification and analysis. Flexible Services and Manufacturing Journal, Vol. 26, Issue 3, 2014, pp. 408-438.
• [11] Wang Q., Wang X, Yang S.: Energy Modeling and Simulation of Flexible Manufacturing Systems Based on Colored Timed Petri Nets, Journal of Industrial Ecology, Vol. 18, Issue 4, 2014, 558-566.
• [12] Gola A.: Economical Aspects of Manufacturing Systems Design. Actual Problems of Economics, 6(156), 2014, pp. 205-2012.
• [13] Gola A., Świć A.: Intelligent decision support system for FMS machine tool subsystem design. Applied Computer Science, Vol. 3, No. 1, 2007, pp. 109-124.
• [14] Świć A., Mazurek L.: Modeling the reliability and efficiency of flexible synchronous production line. Eksploatacja i Niezawodność – Maintenance and Reliability, Vol. 52, No. 4, 2011, pp. 41-48.
• [15] Lacomme P., Moukrim A., Tchernev N.: Simultaneous job input sequencing and vehicle dispatching in a single-vehicle automated guided vehicle system: a heuristic branch-and-bound approach coupled with a discrete events simulation model. International Journal of Production Research, Vol. 43, Issue 9, 2005, pp. 1911-1942.
• [16] Lis S., Santarek K., Strzelczak S.: Organizacja elastycznych systemów produkcyjnych. Wyd. PWN, Warszawa 1994 (in Polish).
• [17] Su C.: Configure and parameters’ optimization for sheet metal flexible manufacturing system based on simulation. IEEE International Conference on Automation and Logistic Location, 2007, pp. 3074-3077.
• [18] Gola A., Montusiewicz J., Świć A.: Computer Aided FMS Machine Tools Subsystem Selection Using the Evolutionary System of Multicriteria Analysis. Applied Computer Science, Vol. 7, No. 1, 2011, pp. 18-29.
• [19] Gola A., Świć A.: Design of storage subsystem of flexible manufacturing system using the computer simulation method. Actual Problems of Economics, No. 4 (142) 2013, pp. 312-318.