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Purpose: This paper describes the project of developing the model of a high speed production system. Design/methodology/approach: High speed production systems involve significant investment and are sensitive to change. It is important to have a plan before changing the facility to minimize risks. To achieve this goal, it is necessary to develop a simulation model of the manufacturing process so that the system efficiency under different conditions can be evaluated. Findings: The investigation included evaluation of optimal system performance based on machine specifications and values obtained over a period of observation. Practical implications: These values were used to generate a simulation model and tested under different conditions. Four of the six recommendations were immediately accepted by the management while the two remaining recommendations were further investigated to clarify anticipated benefits. Originality/value: This model is simulated in a discrete simulation environment and is based on values obtained from the actual production process. The effect of changing the conditions and compatibility of the system to increased work and reduced waste can be visualized.
Wydawca
Rocznik
Tom
Strony
794--802
Opis fizyczny
Bibliogr. 10 poz., wykr., tab.
Twórcy
autor
autor
- School of Aerospace, Mechanical and Manufacturing Engineering, RMIT University, Melbourne, Victoria, Australia, john.mo@rmit.edu.au
Bibliografia
- [1] P. E. Waterson, C. W. Clegg, R. Bolden, K. Pepper, P. B. Warr, T. D. Wall, The user and effectiveness of modern manufacturing practices: a survey of UK industry, International Journal of Production Research 37/10 (1999) 2271-2292.
- [2] K. O. Cua, K. E. KcKone, R. G. Schroeder, Relationships between implementation of TQM, JIT and TPM and manufacturing performance, Journal of Operations Management 19 (2001) 675-694.
- [3] M. Terziovski, A. S. Sohal, The adoption of continuous improvement and innovation strategies in Australian manufacturing firms, Technovation 20 (2000) 539-550.
- [4] J. S. Morris, R. J. Tersine, A simulation comparison of process and cellular layouts in a dual resource constrained environment, Computers and Industrial Engineering 26/4 (1994) 733-741.
- [5] P. Ahlstrom, Sequences in the implementation of lean production, European Management Journal 16/3 (1998) 327-334.
- [6] B. H. Rho, K. Park, Y. M. Yu, An international comparison of the effect of manufacturing strategy-implementation gap on business performance, International Journal of Production Economics 70 (2001) 89-97.
- [7] P. Ward, H. Zhou, Impact of Information Technology Integration and Lean/Just-In-Time Practices on Lead-Time Performance, Decision Sciences 37/2 (2006) 177-203.
- [8] J. H. Blackstone, Theory of constraints-a status report, International Journal of Production Research 39/6 (2001) 1053-1080.
- [9] P. Klingstam, P. Gullander, Overview of simulation tools for computer-aided production engineering, Computers in Industry 38 (1999) 173-186.
- [10] A. Azadeh, B. Bidokhti, S. M. R. Sakkaki, Design of practical optimum JIT systems by integration of computer simulation and analysis of variance, Computers and Industrial Engineering 49 (2006) 504-519.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-article-BWAN-0004-0043