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Zastosowanie symulacji komputerowej w sterowaniu przepływem produkcji mebli

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Warianty tytułu
EN
Use simulation to improve flow control in furniture manufacturing company
Języki publikacji
PL
Abstrakty
EN
Computer simulation techniques have been used in the issues of production for about 30 years. Due to the rapid technological progress in the field of IT and growing computing power of personal computers attractiveness of simulation still increases. The advantage of computer simulation is its repeatability. By setting a number of the model parameters and by assigning numerical settings we can repeat the same process many times which is impossible to achieve in the real world. All the manufacturing systems can be divided into two parts: process and discrete systems. The products of the process manufacturing once put together cannot be taken apart. Discrete manufacturing can be characterized by individual or separate unit production. The sensible use of simulation usually requires the knowledge of the theoretical background to discrete simulation such as probability distributions, the model building process including validation techniques and the design of experiments. This study aims to present method for improving the flow in discrete manufacturing in exemplary company of joinery. The main goal of the research was to identify the actual and potential problems inside of the manufacturing system. Large intermediate stocks, long throughput times, and variable bottlenecks are the most common kinds of problems that usually characterize such an environment. Furniture manufacturing is the complex process that consists of a few steps. The characteristics of the current manufacturing system in descriptive and schematic forms were presented. In the next stage the model of existing manufacturing system using the selected simulation software was developed. The model included such elements as: storages, works transport mean, assemblers, workstations, etc. The final step was to conduct a simulation experiment and draw conclusions. In this case, the method allowed to develop a computer simulation model that reflected the actual functioning of joinery company. The experiment conducted in conjunction with the simulation model provided detailed data for a thorough analysis of the flow in manufacturing. Some results of the simulation experiment were compared to the historic real company data and in this way the high quality of the simulation model was proven. This way the main barrier in obtaining the higher productivity level and the cause of excessive intermediate stocks were identified. Appropriate remedial steps leading to improve the flow in manufacturing, release of capacity reserve and reduce of stocks levels were proposed.
Rocznik
Strony
29--37
Opis fizyczny
Bibliogr. 13 poz.
Twórcy
  • Katedra Organizacji Przedsiębiorstwa, Wydział Zarządzania Politechnika Lubelska, ul. Nadbystrzycka 38, 20-618 Lublin, g.klosowski@polub.pl
Bibliografia
  • [1] Abdulmalek F. A., Rajgopal J.: Analyzing the benefits of lean manufacturing and value stream mapping via simulation: A process sector case study. Int. J. Production Economics 2007/107, s. 223-236.
  • [2] Cicireli F., Furfaro A., Nigro L.: Modelling and simulation of complex manufacturing systems using statechart-based actors. Simulation Modelling Practice and Theory 2011/19, s. 685-703.
  • [3] Denkena B., Henjes J., Henning H.: Simulation-based dimensioning of manufacturing process chains. CIRP Journal of Manufacturing Science and Technology 2011/4, s. 9-14.
  • [4] Herrmann C., Thiede S., Kara S., Hesselbach J.: Energy oriented simulation of manufacturing systems Concept and application CIRP Annals - Manufacturing Technology 2011/60, s. 45-48.
  • [5] Hibino H., Fukuda Y., Fuji S., Kojima F., Mitsuyuki K., Yura Y.: The development of an object-oriented simulation system based on the thought process of the manufacturing system design. Int. J. Production Economics 1999/60-61, s. 343-351.
  • [6] Iwata K., Onosato M., Teramoto K., Osaki S.: A Modelling and Simulation Architecture for Virtual Manufacturing Systems. Dept. of Mechanical Engineering for Computer-Controled Machinery, Faculty of Engineering, Japan, Osaka University 1995.
  • [7] Krupa K.: Modelowanie, symulacja i prognozowanie. Wydawnictwa Naukowo-Techniczne, Warszawa 2008.
  • [8] Meade D. J., Kumar S., Houshya R A.: Financial Analysis of a Theoretical Lean Manufacturing Implementation Using Hybrid Simulation Modeling. Journal of Manufacturing Systems, 2006, Vol. 25/No. 2.
  • [9] Nagarur N., Azeem A.: Impact of commonality and flexibility on manufacturing performance: A simulation study. Int. J. Production Economics 1999/60-61, s. 125-134.
  • [10] Smith J. S.: Survey on the Use of Simulation for Manufacturing System Design and Operation. Journal of Manufacturing Systems, 2003, Vol. 22/No. 2.
  • [11] Spedding T. A., Sun G.Q.: Application of discrete event simulation to the activity based costing of manufacturing systems. Int. J. Production Economics 1999/ 58, s. 289-301.
  • [12] Um I., Cheon H., Lee H.: The simulation design and analysis of a Flexible Manufacturing System with Automated Guided Vehicle System. Journal of Manufacturing Systems 2009/28, s. 115-122.
  • [13] Wya J., Jeong S., Kim B., Park J., Shin J., Yoon H., Lee S.: A data-driven generic simulation model for logistics-embedded assembly manufacturing lines. Computers & Industrial Engineering 2011/60, s. 138-147.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-LOD9-0030-0012
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