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1
EN
Purpose: Analysis the propagation of the variability of polymer processing in production lines is the aim of the article. It is unprofitable occurrence. It contributes to an increase in the time of the production cycle and the volume of work in process. Design/methodology/approach: For the measurement of the variability of polymer processingparameters the time Shewart's card were used. The technique of the timing was applied for the registration of the production cycle time and the volume of stocks. The computer simulation was used for the analysis of the propagation of the variability in the production line at different values of the variability coefficient. Findings: The Shewart’s card permit to control the random variability of processes and eliminate the negative results of this occurrence. The computer simulation allowed to the investigate a lot of screenplays assuming different sizes of the variability. Prediction of the variability of polymer processing parameters gives possibility for the correction of the manufacturing process organization and against wastage. Research limitations/implications: The next step of research will be. Determinations of relation between the variability of polymer processing parameters and coefficient of machines utilization and quality of the final product will be the next stage of the research. The validation simulation models and estimation of their usefulness in undertaking of the decision concerning production process. Practical implications: The analysis of the propagation of variability of polymers processing parameters permits for better are understanding of reasons delays and excessive work in progress materials in the production of a particular article. The inspection of the variability permits better to manage the materials flow in the production system.
2
Content available remote Influence of variability of polymer processing on the manufacturing system
EN
Purpose: The aim of the paper is to present the influence of variability of polymer materials processing parameters on the production process. To determine this influence, the queuing theory and system dynamics method have been applied. Design/methodology/approach: The measurements and control of the time of operation can be performed by means of the traditional methods of statistical control. Full dynamics of the variability phenomenon can be reflected by means of computer simulation. Findings: The measurements of parameters on the basis of real manufacturing system have been performed. The dependences between the parameters have been determined and several computer simulations have been performed. On the basis of the obtained results the influence of the individual production parameters on the manufacturing system has been determined. Research limitations/implications: The performed analysis enabled to assume that the highest influence on the manufacturing process and especially on the time of material flow has the time of injection of the polymeric materials. Reductions in utilization tend to have a much larger impact on delay then reduction in variability. However, because capacity is costly, high utilization is usually desirable. Originality/value: The investigation results can be the basis to develop efficient methods for reduction of variability and hence the methods of production costs reduction. Variability reduction is often the key to achieving high efficiency logistical and manufacturing system.
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