@ARTICLE{KAR_Avijit_An_2024,
 author={KAR, Avijit and PAL, Arun Kiran},
 volume={Vol. 15},
 number={No 2},
 journal={Management and Production Engineering Review},
 howpublished={online},
 year={2024},
 publisher={Production Engineering Committee of the Polish Academy of Sciences, Polish Association for Production Management},
 abstract={Increasing productivity is currently the biggest challenge for manufacturing industries in terms of implementation of Industry 4.0 technologies. This article deals with the widely used methods of measuring of overall equipment effectiveness that in combination with statistical approaches confirms the growth in productivity and seems to be simple and novel technique particularly in the field of printing industries. The aim of the present study is to determine quantitatively the productivity, effectiveness, utilization, risk factor and sigma level of some machines in a printing company that are validated by the selected statistical approaches such as six sigma and analysis of variance techniques. Machine operating time, machine downtime and machine idle-time of different machines in a printing house are considered as main variable parameters for analysis of variance and six-sigma analysis. The results show that the proposed methodology can be a promising development towards improvement of productivity parameters of machines in the printing house.},
 title={An Implementation of ANOVA and Six-Sigma for Productivity Improvement in Printing Machines},
 URL={http://czasopisma.pan.pl/Content/132151/PDF/967_int.pdf},
 doi={10.24425/mper.2024.151127},
 keywords={Machine Operating time, Machine Downtime, Machine Idle-time, ANOVA, Statistical Process Control},
}