Devising an innovative method for improving decision-making efficiency at polymers processing companies in automotive industry

Authors

DOI:

https://doi.org/10.15587/1729-4061.2024.317462

Keywords:

decision-making, management methods, organizational innovations, polymer processing

Abstract

Enabling the development of technologies for the production of polymer materials directly determines the possibility of achieving the standards of sustainable development in the automotive industry, since polymer composites are used in modern cars as components of almost all assemblies and mechanisms. The expansion of plastics application in the car structure contributes to the reduction of fuel consumption and wear of parts. Technological changes encourage enterprises to constantly improve decision-making methods regarding the introduction of innovative technologies.

This paper reports an innovative method devised for making management decisions at enterprises specializing in the processing of polymers for the automotive industry, which makes it possible to increase production efficiency. Based on the Ishikawa diagram and the PDCA cycle application, management tools and procedures for making production and technological decisions have been developed using the methodology of finding root causes and verifying factors influencing existing production problem. A set of indicators that make it possible to reduce the number of management errors has been substantiated; they increase the reliability of verifying received intermediate results of decisions. The selection of verification indicators was carried out taking into account the specificity of polymer production technologies.

An improved decision-making management procedure is presented, which was embodied in an updated decision-tracking protocol. Unlike its basic version, it contains additional control points: target date of verification, date of verification, and result of verification. An experimental study showed that the application and observance of the full PDCA cycle increases the overall effectiveness of management by 63 %, which in turn has a positive effect on the company's sustainability in a competitive environment

Author Biographies

Serhii Prystynskyi, LLC KOSTAL Ukraine

PhD, Head of Department

Serial Production Engineering and Improvement Management Department

Olena Palyvoda, National Aviation University

Doctor of Economic Sciences

Department of Management of Foreign Economic Activity of Enterprises

Viktoriia Plavan, Kyiv National University of Technologies and Design

Doctor of Technical Sciences, Head of Department

Department of Chemical Technologies and Resource Saving

Oleg Lozovyi, Kyiv National University of Technologies and Design

PhD Sudent

Department of Chemical Technologies and Resource Saving

Andrii Hrytsenko, LLC KOSTAL Ukraine

Leading specialist in Claims Management and Quality Assurance Group

References

  1. Directive 2000/53/EC of the European Parliament and of the Council of 18 September 2000 on end-of life vehicles - Commission Statements. Official Journal, L 269, 34–43. Available at: https://eur-lex.europa.eu/eli/dir/2000/53/oj
  2. Ganoshenko, E., Holik, Yu. (2018). Analysis of the problem of the formation and disposal of waste motor complex. Ekolohichni nauky, 2 (21), 40–45. Available at: http://ecoj.dea.kiev.ua/archives/2018/2/9.pdf
  3. End-of-life vehicles Regulation. Available at: https://environment.ec.europa.eu/topics/waste-and-recycling/end-life-vehicles/end-life-vehicles-regulation_en
  4. Saitarly, S., Plavan, V., Rezanova, N., Sova, N. (2018). Regulation of rheological and mechanical properties of polypropylene compositions for automotive parts. Technology Audit and Production Reserves, 6 (3 (44)), 9–13. https://doi.org/10.15587/2312-8372.2018.152056
  5. Prystynskyi, S. (2023). Adjusting the Performance Properties of Products Obtained by Injection Molding from Polyamide. Chemistry & Chemical Technology, 17 (4), 836–845. https://doi.org/10.23939/chcht17.04.836
  6. Ishikawa, K. (1984). Quality Control in Japan. The Japanese Approach to Product Quality, 1–5. https://doi.org/10.1016/b978-0-08-028160-5.50006-0
  7. Paulus, P. B., Kenworthy, J. B. (2019). Effective Brainstorming. The Oxford Handbook of Group Creativity and Innovation, 286–305. https://doi.org/10.1093/oxfordhb/9780190648077.013.17
  8. Serrat, O. (2017). The Five Whys Technique. Knowledge Solutions, 307–310. https://doi.org/10.1007/978-981-10-0983-9_32
  9. Cummings, J. A., Ballantyne, E. C., Scallion, L. M. (2015). Essential processes for cognitive behavioral clinical supervision: Agenda setting, problem-solving, and formative feedback. Psychotherapy, 52 (2), 158–163. https://doi.org/10.1037/a0038712
  10. Lead and Facilitate Root Cause Analysis that Leads Directly to Innovation. Available at: https://mgrush.com/blog/root-cause-analysis/
  11. Stefanovic, S., Kiss, I., Stanojevic, D., Janjic, N. (2014). Analysis of technological process of cutting logs using Ishikawa diagram. Acta Tehnica Corviniensis-Bulletin of Engineering, 7 (4), 93–98. Available at: https://acta.fih.upt.ro/pdf/2014-4/ACTA-2014-4-15.pdf
  12. Martela, F. (2019). What makes self-managing organizations novel? Comparing how Weberian bureaucracy, Mintzberg’s adhocracy, and self-organizing solve six fundamental problems of organizing. Journal of Organization Design, 8 (1). https://doi.org/10.1186/s41469-019-0062-9
  13. Leksic, I., Stefanic, N., Veza, I. (2020). The impact of using different lean manufacturing tools on waste reduction. Advances in Production Engineering & Management, 15 (1), 81–92. https://doi.org/10.14743/apem2020.1.351
  14. Velasquez, M., Hester, P. T. (2013). An analysis of multi-criteria decision making methods. International journal of operations research, 10 (2), 56–66. Available at: http://www.orstw.org.tw/ijor/vol10no2/ijor_vol10_no2_p56_p66.pdf
  15. Laiker Dzhefri, K. (2017). Filosofiya Toyota. 14 pryntsypiv roboty zlahodzhenoi komandy. Kyiv: Nash format, 424.
  16. Inceoglu, I., Thomas, G., Chu, C., Plans, D., Gerbasi, A. (2018). Leadership behavior and employee well-being: An integrated review and a future research agenda. The Leadership Quarterly, 29 (1), 179–202. https://doi.org/10.1016/j.leaqua.2017.12.006
  17. Veliyath, R. (1992). Strategic planning: Balancing short-run performance and longer term prospects. Long Range Planning, 25 (3), 86–97. https://doi.org/10.1016/0024-6301(92)90373-a
  18. Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57 (9), 2501–2519. https://doi.org/10.1108/md-05-2017-0458
  19. Sensuse, D. I., Cahyaningsih, E., Wibowo, W. C. (2015). Identifying Knowledge Management Process of Indonesian Government Human Capital Management Using Analytical Hierarchy Process and Pearson Correlation Analysis. Procedia Computer Science, 72, 233–243. https://doi.org/10.1016/j.procs.2015.12.136
  20. Pan, N., Luo, Y. Y., Duan, Q. X. (2022). The Influence of PDCA Cycle Management Mode on the Enthusiasm, Efficiency, and Teamwork Ability of Nurses. BioMed Research International, 2022, 1–7. https://doi.org/10.1155/2022/9352735
  21. Prystynskyi, S. V. (2024). Tekhnolohiyi pererobky bahatokomponentnykh vidkhodiv polimernykh kompozytiv metodom lyttia pid tyskom. Kyiv, 160. Available at: https://knutd.edu.ua/files/science/razovi-vcheni-rady/Prystynskyi_disertation.pdf
  22. Haug, N., Geyrhofer, L., Londei, A., Dervic, E., Desvars-Larrive, A., Loreto, V. et al. (2020). Ranking the effectiveness of worldwide COVID-19 government interventions. Nature Human Behaviour, 4 (12), 1303–1312. https://doi.org/10.1038/s41562-020-01009-0
  23. Feng, Y., Ning, M., Lei, Y., Sun, Y., Liu, W., Wang, J. (2019). Defending blue sky in China: Effectiveness of the “Air Pollution Prevention and Control Action Plan” on air quality improvements from 2013 to 2017. Journal of Environmental Management, 252, 109603. https://doi.org/10.1016/j.jenvman.2019.109603
  24. Liu, S., Lucy Liu, X., Wang, H., Wang, Y. (2021). Humble Leader Behavior and Its Effects on Performance at the Team and Individual Level: A Multi-Perspective Study. Group & Organization Management, 47 (5), 1008–1041. https://doi.org/10.1177/10596011211024429
  25. Hamre, K. V., Fauske, M. R., Reknes, I., Nielsen, M. B., Gjerstad, J., Einarsen, S. V. (2021). Preventing and Neutralizing the Escalation of Workplace Bullying: the Role of Conflict Management Climate. International Journal of Bullying Prevention, 4 (4), 255–265. https://doi.org/10.1007/s42380-021-00100-y
  26. Liu, F., Chow, I. H.-S., Gong, Y., Huang, M. (2019). Affiliative and aggressive humor in leadership and their effects on employee voice: a serial mediation model. Review of Managerial Science, 14 (6), 1321–1339. https://doi.org/10.1007/s11846-019-00334-7
  27. Sarangee, K. R., Schmidt, J. B., Calantone, R. J. (2019). Anticipated regret and escalation of commitment to failing, new product development projects in business markets. Industrial Marketing Management, 76, 157–168. https://doi.org/10.1016/j.indmarman.2018.08.008
  28. Santos, R. C., Martinho, J. L. (2019). An Industry 4.0 maturity model proposal. Journal of Manufacturing Technology Management, 31 (5), 1023–1043. https://doi.org/10.1108/jmtm-09-2018-0284
  29. Gupta, K. (2022). A review on implementation of 5S for workplace management. Journal of Applied Research on Industrial Engineering, 9 (3), 323–330. https://doi.org/10.22105/jarie.2021.292741.1347
  30. Tiwari, K. V., Sharma, S. K. (2022). The Impact of Productivity Improvement Approach Using Lean Tools in an Automotive Industry. Process Integration and Optimization for Sustainability, 6 (4), 1117–1131. https://doi.org/10.1007/s41660-022-00252-4
Devising an innovative method for improving decision-making efficiency at polymers processing companies in automotive industry

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Published

2024-12-27

How to Cite

Prystynskyi, S., Palyvoda, O., Plavan, V., Lozovyi, O., & Hrytsenko, A. (2024). Devising an innovative method for improving decision-making efficiency at polymers processing companies in automotive industry. Eastern-European Journal of Enterprise Technologies, 6(13 (132), 6–18. https://doi.org/10.15587/1729-4061.2024.317462

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Section

Transfer of technologies: industry, energy, nanotechnology