An Implementation of ANOVA and Six-Sigma for Productivity Improvement in Printing Machines

• Autorzy: Avijit Kar , Arun Pal
• Języki publikacji: EN

Abstrakty

EN

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(original abstract)

Słowa kluczowe

EN

Industrial productivity; Machinery and equipment

PL

Produktywność przemysłowa; Maszyny i urządzenia

• Czasopismo: Management and Production Engineering Review
• Rocznik: 2024
• Tom: 15
• Numer: nr 2
• Strony: 1--19

Twórcy

autor

Avijit Kar

• Jadavpur University, Department of Printing Engineering, India

autor

Arun Pal

• Jadavpur University, Department of Printing Engineering, India

Bibliografia

• Duc, M.L. & Nguyen, T.M. (2022), Application of Lean Six Sigma for improve productivity at the mechanical plant: A case study, Manufacturing Technology, 22(2), DOI: 10.21062/mft.2022.028, https://journalmt.com/ pdfs/mft/2022/02/13.pdf
• Eltaweel, M., Yaseen, Z.M., Alawi, O.A., Falah, M.W., Hussein, O.A., Ahmed, W., Homod, R.Z. & Abdelrazek, A.H. (2022). Application of the ANOVA method in the optimization of a thermoelectric coolerbased dehumidification system, Energy, 8, 10533- 10545, DOI: 10.1016/j.egyr.2022.08.193
• Fujikoshi, Y. (1993). Two-way ANOVA models with unbalanced data, Discrete Mathematics, 116, 315-334, North-Holland, 0012-365X/93/$06.00, 1993 - Elsevier Science Publishers B.V., DOI: 10.1016/0012- 365X(93)90410-U, https://core.ac.uk/download/pdf/ 82263208.pdf
• Garcia, S.G. & Garcia, M.G. (2019). Industry 4.0 implication in production and maintenance management: An overview, Procedia Manufacturing, Science Direct, 8th Manufacturing Engineering Society International Conference 2019, 41, June issue, 415-422, DOI: 10.1016/j.promfg.2019.09.027
• Ghosh, D.K., Seth, R. & Shah, N.D. (2019). Use of Control Charts for conducting ANOVA study, International Journal of Agriculture and Statistical Science, 15(1), 375-384, ISSN: 0973-1903, https://ksschool.org.in/ 2983201H_375-384.pdf
• Haddad, T., Shaheen, B.W. & Németh, I. (2021). Improving overall equipment effectiveness (OEE) of extrusion machine using lean manufacturing approach, Manufacturing Technology, ISSN 1213-2489, February issue, 21(1), DOI: 10.21062/mft.2021.006, https://www.academia.edu/51930838/Improving
• _Overall_Equipment_Effectiveness_OEE_of_Ex trusion_Machine_Using_Lean_Manufacturing_App roach Hamrol, A. & Bozek, M. (2012). Analysis of efficiency of lean manufacturing and six sigma in a production enterprise, Management and Production Engineering Review (MPER), 3(4), 14-25, December issue DOI: 10.2478/v10270-012-0030-0, https://www.semanticscholar.org/paper/Analysisof- Efficiency-of-Lean-Manufacturing-and-in-Bozek- Hamrol/99f7b4a6f07864406584f04962fa9d49f9e0a69a, https://www.proquest.com/docview/1331091405? parentSessionId=Mk7S3KMSKsXFbo%2B2X5SRzBq KADOiqRgXPD7XZRhK2e8%3D
• Hussain, Z. (2019). Statistical Analyses of Productivity Model Parameters for Process Improvement, Advances in Science and Technology Research Journal, 13(2), June issue, 157-167, DOI: 10.12913/22998624/106240
• Kar, A. & Pal, A.K. (2019). An approach to risk-based maintenance strategy of a printing press, Journal of Print Media Technology Research, 8(3), 155-165, DOI: 10.14622/JPMTR-1907
• Kar, A. & Pal, A.K. (2022). Assessment of effectiveness and utilization of printing machines, Journal of Print and Media Technology Research, 11(4), 243-256, DOI: 10.14622/JPMTR-2220
• Kar, A. & Pal, A.K. (2024). A new approach for effective productivity management of newspaper printing press, Journal of Graphic Engineering and Design, June issue, 17-29, University of Novi Sad, Serbia, DOI: 10.24867/JGED-2024-2-017.
• Nakajima, S. (1988). Introduction to TPM: Total Productive Maintenance (preventative maintenance series), Productivity Press, ISBN 0-91529-923-2
• Ng, Y.W., Jie, J.C.R. & Kamaruddin, S. (2014). Analysis of Shop Floor Performance through Discrete Event Simulation: A Case Study, Journal of Industrial Engineering, Hindawi Publishing Corporation, vol. 2014, Article ID 878906, September issue, DOI: 10.1155/2014/878906
• Nurprihatin, F., Rembulin, G.D., Andry, J.F., Lubis, M., Widiwati, T.B. & Vaezi, A., (2023). Integration of Overall Equipment Effectiveness and Six Sigma approach to minimize product defect and machine downtime, Management and Production Engineering Review, 14(4), 71-91, December issue, DOI: 10.24425/mper.2023.147205
• Pekarcikova, M., Trebuna, P., Kliment, M., Trojan, J., Kopec, J., Dic, M. & Kronova, J. (2023). Case study: Testing the overall efficiency of equipment in the production process in TX plant simulation software, Management and Production Engineering Review (MPER), 14(1), 34-12, March issue, DOI: 10.24425/mper.2023.145364, https://biblioteka nauki.pl/articles/2201181.
• Saad, H., Nagarur, N. & Shamsan, A. (2019). Analysis of data mining process for improvement of production quality in industrial sector, J. Applied Sci., 20(10-20), ISSN 1812-5654, DOI: 10.3923/jas.2021.10.20, https:// arxiv.org/ftp/arxiv/papers/2108/2108.07615. pdf
• Sharifi, F., Vahdatzad, M.A., Barghi, B. & Azadeh- Fard, N. (2022). Identifying and ranking risks using combined FMEA-TOPSIS method for new product development in the dairy industry and offering mitigation strategies: case study of Ramak Company, Int. J. Syst. Assur. Eng. Manag., 13(5), 2790-2807, October issue, DOI: 10.1007/s13198-022-01672-8
• Zamora-Antuñano, M.A., Cruz-Salinas, J., Rodríguez- Reséndiz, J., González-Gutiérrez, C.A., Méndez- Lozano, N., Paredes-García, W.J., Altamirano- Corro, J.A. & Gaytán-Díaz, J.A. (2019). Statistical Analysis and Data Envelopment Analysis to Improve the Efficiency of Manufacturing Process of Electrical Conductors, Applied Sciences, MDPI, September issue, 9, 3965, DOI: 10.3390/app9193965

Identyfikatory

DOI

10.24425/mper.2024.151127