Analysis of the Causes of Incompatibilities in the Selected Production Processes
Analysis of the incompatibilities occurring in an organization relies on identifying the problem and then applying the appropriate corrective and improvement actions. It is possible by using appropriate instruments of quality management and, basically, their sequence, which is a modern way of solving the problem, and it enables the improvement of functioning of an enterprise. Therefore, it is advisable to select an appropriate group of quality management instruments and use them in the appropriate sequence, because then they are complete and lead to full analysis and conclusions adequate to the problem. The aim of the article is to analyze the correlation and influence of the selected factors on the incompatibilities in selected processes, i.e. the production process of furniture fronts and furniture in general. Moreover, the idea is to use the appropriate sequence of instruments of quality management to solve various types of incompatibilities. The analysis was made at a company where a lot of different kinds of incompatibilities in processes were identified within 9 months. It was important to solve the problem for this enterprise because it was generating relatively large financial losses, and the lack of identified causes of the problem precluded taking preventive actions and developing the enterprise. After the initial analysis of the processes and problems, it was decided to use the correlation analysis, the Pareto-Lorenz diagram, the 5W2H method, the Ishikawa diagram and the 5Why method. The methodology and conclusions drawn from the analysis may be useful in solving complex problems at other production and service enterprises.(original abstract)
- 1. Arvanitoyannis, I., Savelides, S. (2007). Application of failure mode and effect analysis and cause and effect analysis and Pareto diagram in conjunction with HACCP to a chocolate-producing industry: A case study of tentative GMO detection at pilot plant scale. International Journal Of Food Science And Technology, 42(11), 1265-1289.
- 2. Arvanitoyannis, I., and Varzakas, T. (2007). Application of failure mode and effect analysis (FMEA), cause and effect analysis and Pareto diagram in conjunction with HACCP to a potato chips manufacturing plant. International Journal Of Food Science And Technology, 42(12), 1424-1442.
- 3. Benjamin, S., Marathamuthu, M., and Murugaiah, U. (2015). The use of 5-WHYs technique to eliminate OEE's speed loss in a manufacturing firm. Journal Of Quality In Maintenance Engineering, 21(4), 419.
- 4. Bilsel, R.U., and Lin, D.K.J. (2012). Ishikawa Cause and Effect Diagrams Using Capture Recapture Techniques. Quality Technology And Quantitative Management, 9(2), 137-152.
- 5. Braglia, M., Frosolini, M., Gallo, M. (2017). SMED enhanced with 5-Whys Analysis to improve set-upreduction programs: the SWAN approach. International Journal Of Advanced Manufacturing Technology, 90(5-8), 1845-1855.
- 6. Chokkalingam, B., Raja, V., Anburaj, J. et al. (2017). Investigation of Shrinkage Defect in Castings by Quantitative Ishikawa Diagram. Archives Of Foundry Engineering, 17(1), 174-178.
- 7. Hartman, M.G. (2001). Separate the vital few from the trivial many - A Pareto diagram can help you decide which improvement efforts to make first. Quality Progress, 34(9), 120-120.
- 8. Hoła, A., Hoła, B., and Szóstak, M. (2017). Analysis of the causes and consequences of falls from scaffolding using the Polish construction industry as an example. IOP Conf. Ser. Mater. Sci. Eng.
- 9. Hola, A., Sawicki, M., and Szostak, M. (2018). Methodology of Classifying the Causes of Occupational Accidents Involving Construction Scaffolding Using Pareto-Lorenz Analysis. Applied Sciences-Basel, 8(1).
- 10. Klock, A.C.T., an Gasparini, I., and Pimenta, M.S. (4-7 October 2016). 5W2H framework: A guide to design, develop and evaluate the user-centered gamification. 15th Brazilian Symposium on Human Factors in Computing Systems, Sao Paulo, Brazil.
- 11. Lindhard, S. (Feb. 2014). Applying the 5 WHYs to Identify Root Causes to Non-completions in On-Site Construction. 7th World Conference on Mass Customization, Personalization, and Co-Creation (MCPC).
- 12. Lira, L.H., Hirai, F.E., Oliveira, M. et al. (2017). Use of the Ishikawa diagram in a case-control analysis to assess the causes of a diffuse lamellar keratitis outbreak. Arquivos Brasileiros De Oftalmologia, 80(5), 281-284.
- 13. Nagyova, A., Palko, M., and Pacaiova, H. (June 2015). Analysis and identification of nonconforming products by 5W2H method. 9th International Quality Conference.
- 14. Pacana, A., Czerwinska, K., and Bednarova, L. (2018). Discrepancies analysis of casts of diesel engine piston. Metalurgija, 57(4), 324-326.
- 15. Pacana, A., Siwiec, D., Bednarova, L., and Hajduová, Z. (2019). The selected methods of quality management used for the evaluation of label printing. Przemysl Chemiczny, 1, DOI:10.15199/62.2019.1.17.
- 16. Salvador, C.G., and Goldfarb, N. (2004). Ishikawa cause and effect diagrams: A useful tool in designing economic analyses. Value In Health, 7(3), 301-302.
- 17. Shin, D.G., Lee, S.I., and Son, K.S. (2015). Countermeasure for construction machinery produced using 5why technique. International Journal of Engineering and Technology, 7(4), 1478-1484.