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Simulation in factory optimisation

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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Many manufacturing systems must operate under resource constraints. Simulation can help to improve the operation of such manufacturing systems. This paper presents a practical approach how to conduct a simulation project. A Flexible Manufacturing System (FMS) was chosen for the simulation. The targets for FMS improvement were given. A set of measures was proposed to meet the given targets. Design of Experiments (DoE) was used to minimise the number of simulation experiments. There were simulated and evaluated various measures and control strategies and their influence on the FMS characteristics. Rough cost analysis of each simulated variant was done. Future research targets are presented.
Słowa kluczowe
Rocznik
Strony
61--74
Opis fizyczny
Bibliogr. 27 pioz., fig., tab.
Twórcy
autor
  • University of Žilina, Faculty of Mechanical Engineering, Industrial Engineering Department, Univerzitná 1, 010 26 Žilina, Slovak Republic
autor
  • University of Bielsko-Biała, Department of Industrial Engineering, 2 Willowa Street, 43-309 Bielsko-Biała
Bibliografia
  • [1] GREGOR M. KOŠTURIAK J.: Just-in-Time - wie kann die simulation helfen? In.: Information Technologies in Business Reengineering. University of Warsaw, Rynia 1995, pp. 56-71.
  • [2] MISHRA P.K., PANDEY P.C.: Simulation studies of flexible manufacturing systems using statistical design of experiments. Computers & Industrial Engineering, Vol.16, No.1, 1989, pp. 65-74.
  • [3] KRUSE CH., GREGOR M.: Integrierte simulationsmodellierung in der fertigungssteuerung am beispiel des CIM-TTZ Saarbrücken. IWI Heft, Nr. 97, Saarbrücken 1992.
  • [4] GREGOR M., KRUSE CH., KOŠTURIAK J.: Die analyse eines FFSs im rahmen von CIM. Wt-Produktion und Management. 86, 1996, pp.375-378.
  • [5] SOON T.H., SOUZA R.: Intelligent simulation based scheduling of workcells: an approach. Integrated Manufacturing Systems, Vol.8, No.1, 1997, pp.6-23.
  • [6] GREGOR M., KOŠTURIAK J.: Schlanke produktion braucht einfache und schnelle simulationswerkzeuge. Technica, Nr. 25/26, 1993, pp. 10-13 (in German).
  • [7] GREGOR M., KOŠTURIAK J., HROMADA J., BALCERČÍK V.: How the simulation helps to improve manufacturing systems. In proceedings of the Second World Congress on Intelligent Manufacturing Processes and Systems. pp. 110 - 115. Budapest 1997.
  • [8] SARKER B.R., FITZSIMMONS J.A.: The performance of push and pull systems: a simulation and comparative study. International Journal of Production Research, Vol.27, No.10, 1989, pp.1715-1731.
  • [9] TAVROU C.K., NAGARAJAH R.: Computer simulation as a sool in assembly line decision making. In: Fifth International Conference on Manufacturing Engineering, Wollongong, Institution of Engineers Australia 1990, pp. 462-466.
  • [10] WANG D., XU CH.: Hybrid push/pull production control strategy simulation and its application. Production Planning and Control. Vol. 8, No. 2, 1997, pp. 142-151.
  • [11] AGARWAL G., BABU S.S.: A simulation study of performance of MRP based systems under interaction effects. Production Planning and Control, Vol. 5, No. 1, 1994, pp. 30-46.
  • [12] WU S.Y., MORRIS J.S., GORDON T.M.: A simulation analysis of the effectiveness of Drum-Buffer-Rope scheduling in furniture manufacturing. Computers & Industrial Engineering, Vol.26, No.4, 1994, pp. 757-764.
  • [13] GUIDE V.D.R.: A Simulation model of Drum-Buffer-Rope for production planning and control at a naval aviation depot. Simulation, Vol. 65, No. 3, 1995, pp. 157-168.
  • [14] SCHROEDER B.J., BLACK J.T. ZHANG S.X.: Just In Time (JIT) with Kanban manufacturing system simulation on a microcomputer. Simulation, Vol.45, No.2, 1985, pp.62-70.
  • [15] CHATURVEDI M., GOLHAR D.Y.: Simulation modelling and analysis of a Just in Time production system. Production Planning nad Control, Vol.3, No.1, 1992, pp.81-92.
  • [16] YAVUZ I.H., SATIR A.: Kanban - based operational planning and control. Simulation Modelling, Production Planning and Control, Vol. 6, No. 4, 1995, pp. 331-344.
  • [17] GSTETTNER S., KUHN H.: Analysis of production control systems Kanban and CONWIP. International Journal of Production Research, Vol.34, No.11, 1996, pp.3253-3273.
  • [18] GUPTA S.M., AL-TURKI Y.A.Y.: An algorithm to dynamically adjust the number of Kanbans in stochastic processing times and variable demand environment. Production Planning and Control, Vol. 8, No. 2, 1997, pp. 133-141.
  • [19] GREGOR M., KOŠTURIAK J.: Just-in-Time. Production philosophy for a good management. ELITA, Bratislava 1994.
  • [20] HUANG P.Y., REES L.P., TAYLOR B.W.: A simulation analysis of the Japanese Justin-Time technique (with Kanbans) for a multi-Line, multi-stage production system. Decision Science, No.7, 1983, pp. 326-345.
  • [21] SARKER B.R., HARRIS R.D.: The effect of imbalance in a Just In Time production system: A Simulation Study. International Journal of Production Research, Vol.26, No.1, 1988, pp.1-18.
  • [22] HEARN D.A.: Simulation - taking the risk out of investment. In: Browne J. – Rthmill K.(Eds.): Proceedings of the Fourth International Conference on Simulation in Manufacturing, London, IFS (Publications)/ Springer Verlag, Bedford 1988, pp.275-285.
  • [23] FALLON D., BROWNE J.: Simulating Just in Time systems. International Journal of Operations & Production Management, Vol.8, No.6, 1988, pp. 30-45.
  • [24] SARKER B.R.: Simulating a Just-in-Time production system. Computers & Industrial Engineering. Vol.16, No.1, 1989, pp.127-137.
  • [25] WELGAMA P.S., MILLS R.G.J.: Use of simulation in the design of a JiT system. International Journal of Operations & Production Management, Vol.15, No. 9, 1995, pp. 245-260.
  • [26] SAVSAR M., JAWINI A.: Simulation analysis of Just in Time production systems. International Journal of Production Economics, Vol.42, No.1, 1995, pp.67-78.
  • [27] SAVSAR M.: Simulation analysis of maintenance policies in Just-in-Time production systems. International Journal of Operations & Production Management, Vol.17, No.3-4, 1997, pp. 256-266.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-dce688de-8155-4a45-b622-50b451d2e9ab
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