Analysis of the Adaptation of Agile Methods in Management in the Foundry Industry
PACANA Andrzej, CZERWIŃSKA Karolina, Renata DWORNICKA
Abstract. In view of the increased volatility of the environment, the issue of agile management in foundry companies plays an important role, based on flexible procedures and adaptive strategic and organizational solutions. The study aimed to analyze development trends and assess the level of knowledge of agile methods, techniques, and tools in the management field of foundries. The objective also included identifying areas of foundry companies’ operations where the implementation of an agile approach could increase their efficiency, with particular emphasis on project and production process management. Knowledge of the Agile approach and tools in the foundries surveyed was relatively low, both in project management and manufacturing process management. The knowledge of the agile approach is most often used in the area of project management and manufacturing process improvement. PDCA and DMAIC were most often used to support improvement in the project area, while PDCA and Kanban were used to improve the efficiency of manufacturing processes. Future research will focus on further analysis of the implementation of the Agile approach to enhancing management in the context of digital transformation in foundries.
Keywords
Agile Manufacturing, Production Management, Foundry Industry, Manufacturing Flexibility, Operational Efficiency, Mechanical Engineering, Empirical Study
Published online 1/25/2026, 9 pages
Copyright © 2026 by the author(s)
Published under license by Materials Research Forum LLC., Millersville PA, USA
Citation: PACANA Andrzej, CZERWIŃSKA Karolina, Renata DWORNICKA, Analysis of the Adaptation of Agile Methods in Management in the Foundry Industry, Materials Research Proceedings, Vol. 62, pp 102-110, 2026
DOI: https://doi.org/10.21741/9781644904015-14
The article was published as article 14 of the book Terotechnology XIV
Content from this work may be used under the terms of the Creative Commons Attribution 3.0 license. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.
References
[1] T. Dimitrova et al., Strategic innovative management and sustainable development of industrial enterprises, Economics Ecology Socium 9 (2025) 77-89. https://doi.org/10.61954/2616-7107/2025.9.1-7
[2] L. Filipishyna et al., Strategic management of innovative development of an industrial enterprise, Baltic Journal of Economic Studies 11 (2025) 269-275. https://doi.org/10.30525/2256-0742/2025-11-4-269-275
[3] A. Pacana, K. Czerwińska, Model of diagnosing and searching for incompatibilities in aluminium castings, Materials 14 (2021) art. 6497. https://doi.org/10.3390/ma14216497
[4] M. Dubyna et al., Innovative development and investment advancement of industrial enterprises in deriving conditions of digital economy, Pacific Business Rev. Int. 17 (2024) 40-49.
[5] I. Klosok-Bazan et al., Environmental aspects of innovation and new technology implementation in metallurgy industry, Metalurgija 54 (2015) 433-436.
[6] NV. Shandova, The preventive analysis of risk factors of the development of industrial enterprises, Marketing and Management of Innovations 1 (2018) 317-326. https://doi.org/10.21272/mmi.2018.1-24
[7] K. Czerwińska, A. Pacana, Analysis of the maturity of process monitoring in manufacturing companies, Prod. Eng. Arch. 28 (2022) 246-251. https://doi.org/10.30657/pea.2022.28.30
[8] RR. Ward, C. Monroe, Assessing Process Control in the Foundry, International Journal of Metalcasting 18 (2024) 2048-2058. https://doi.org/10.1007/s40962-024-01375-9
[9] K. Knop, P. Gejdos, Analysis of the impact of modernization of machinery on the quality of castings using quality management tools, Manuf. Technol. 24 (2024) 207-218. https://doi.org/10.21062/mft.2024.036
[10] A. Pacana, K. Czerwińska, Analysis of the causes of control panel inconsistencies in the gravitational casting process by means of quality management instruments, Prod. Eng. Arch. 25 (2019) 12-16. https://doi.org/10.30657/pea.2019.25.03
[11] J.E. Sordan et al., Lean manufacturing for reducing lead time in foundry processes: a design science approach, Int. J. Lean Six Sigma 16 (2025) 328-345. https://doi.org/10.1108/IJLSS-01-2024-0018
[12] RG. Cooper, P. Furst, Agile development in manufacturing companies: best practices and pitfalls, IEEE Eng. Manag. Rev. 51 (2023) 65-76. https://doi.org/10.1109/EMR.2023.3304792
[13] A. Vanichchinchai, The effects of the Toyota Way on agile manufacturing: an empirical analysis, J. Manuf. Technol. Manag. 33 (2022) 1450-1472. https://doi.org/10.1108/JMTM-02-2022-0053
[14] T. Huikkola, M. Kohtamaki, Agile New Solution Development in Manufacturing Companies, Technol. Innov. Manag. Rev. 10 (2020) 16-23. https://doi.org/10.22215/timreview/1333
[15] Sy. Wu et al., Agile strategy adaptation in semiconductor wafer foundries: an example from Taiwan, Technological Forecasting and Social Change 73 (2006) 436-451. https://doi.org/10.1016/j.techfore.2005.01.004
[16] A. Pacana et al., Decision support in the production of packaging films by cost-quality analysis. Przemysł Chemiczny 95 (2016) 1042-1044. https://doi.org/10.15199/62.2016.5.31
[17] E. Michels, MGG. Ferreira, Agile management in development of innovative products: a systematic literature review, Revista de Gestao e Projetos 4 (2013) 52-76. https://doi.org/10.5585/gep.v4i1.119
[18] D. Banas, H.H. Chovanova, Agile maturity assessment for industrial companies in slovakia: enhancing project management efficiency, MM Science Journal 2025 (2025) 8253-8261. https://doi.org/10.17973/MMSJ.2025_06_2025017
[19] M. Korzynski et al., Fatigue strength of chromium coated elements and possibility of its improvement with ball peening. Surface & Coatings Technology 204 (2009) 615-620. https://doi.org/10.1016/j.surfcoat.2009.08.049
[20] X. Sigma et al., Agility-based knowledge management method for small and medium-sized enterprises, Knowledge Management Research & Practice 22 (2024) 234-246. https://doi.org/10.1080/14778238.2023.2192428
[21] M. Leite, V. Braz, Agile manufacturing practices for new product development: industrial case studies, J. Manuf. Technol. Manag. 27 (2016) 560-576. https://doi.org/10.1108/JMTM-09-2015-0073
[22] S.A.M. Elmoselhy, Hybrid lean-agile manufacturing system technical facet, in automotive sector, J. Manuf. Syst. 32 (2013) 598-619. https://doi.org/10.1016/j.jmsy.2013.05.011
[23] M. Yli-Ojanpera et al., Adapting an agile manufacturing concept to the reference architecture model Industry 4.0: A survey and case study, J. Industr. Inform. Integr., 15 (2019) 147-160. https://doi.org/10.1016/j.jii.2018.12.002
[24] A. Pacana et al., Effect of selected factors of the production process of stretch film for its resistance to puncture. Przemysl Chemiczny 93 (2014) 2263-2264.
[25] B.G. Tavares et al., Practices to improve risk management in agile projects, International J. Soft. Eng. Knowl. Eng. 29 (2019) 381-399. https://doi.org/10.1142/S0218194019500165
[26] V.M.B. Garcia et al., Contributions of entrepreneurial orientation in the use of agile methods in project management, Innovation & Management Review 18 (2021) 17-33. https://doi.org/10.1108/INMR-01-2019-0002
[27] M. Korzynski, A. Pacana, Centreless burnishing and influence of its parameters on machining effects. Journal of Materials Processing Technology 210 (2010) 1217-1223, https://doi.org/10.1016/j.jmatprotec.2010.03.008
[28] A. Kozień, Efficient management of cultural heritage by local government bodies, Wiadomosci Konserwatorskie 2020 (2020) 7-16. https://doi.org/10.48234/WK64HERITAGE
[29] N. Baryshnikova, O. Kiriliuk and D. Klimecka-Tatar, Management approach on food export expansion in the conditions of limited internal demand, Polish Journal of Management Studies 21 (2020) 101-114. https://doi.org/10.17512/pjms.2020.21.2.08
[30] Ł.J. Orman et al., Laser Treatment of Surfaces for Pool Boiling Heat Transfer Enhancement, Materials 16 (2023) art. 1365. https://doi.org/10.3390/ma16041365
[31] Ł.J. Orman et al., Application of laser treatment technology for boiling heat transfer augmentation, Prod. Eng. Arch. 30 (2024) 259-265. https://doi.org/10.30657/pea.2024.30.25
[32] M. Szymański et al., Tool Wear and Surface Roughness in Turning of Metal Matrix Composite Built of Al2O3 Sinter Saturated by Aluminum Alloy in Vacuum Condition, Materials 15 (2022) art. 8375. https://doi.org/10.3390/ma15238375
[33] M. Kuklinski, A. Bartkowska and D. Przestacki, Laser alloying monel 400 with amorphous boron to obtain hard coatings, Materials 12 (2019) art. 3494. https://doi.org/10.3390/ma12213494
[34] N. Radek et al., Operational properties of DLC coatings and their potential application, METAL 2022 – 31st Int. Conf. Metall. Mater., (2022) 531-536. https://doi.org/10.37904/metal.2022.4491
[35] M. Kukliński et al., Influence of microstructure and chemical composition on microhardness and wear properties of laser borided monel 400, Materials 13 (2020) art. 5757. https://doi.org/10.3390/ma13245757
[36] A. Kalinowski et al., Laser surface texturing: characteristics and applications, System Safety: Human – Technical Facility – Environment 5 (2023) 240-248. https://doi.org/10.2478/czoto-2023-0026
[37] J. Pietraszek, A. Goroshko, The heuristic approach to the selection of experimental design, model and valid pre-processing transformation of DoE outcome, Advanced Materials Research 874 (2014) 145-149. https://doi.org/10.4028/www.scientific.net/AMR.874.145
[38] J. Pietraszek et al., Challenges for the DOE methodology related to the introduction of Industry 4.0, Prod. Eng. Arch. 26 (2020) 190-194. https://doi.org/10.30657/pea.2020.26.33
[39] J. Pietraszek, A. Gadek-Moszczak, The smooth bootstrap approach to the distribution of a shape in the ferritic stainless steel AISI 434L powders, Solid State Phenomena 197 (2013) 162-167. https://doi.org/10.4028/www.scientific.net/SSP.197.162
[40] J. Pietraszek, Fuzzy regression compared to classical experimental design in the case of flywheel assembly, Lecture Notes in Computer Science 7267 LNAI (2012) 310-317. https://doi.org/10.1007/978-3-642-29347-4_36
[41] J. Pietraszek, The modified sequential-binary approach for fuzzy operations on correlated assessments, Lecture Notes in Computer Science 7894 LNAI (2013) 353-364. https://doi.org/10.1007/978-3-642-38658-9_32
[42] N. Radek et al., Properties of Steel Welded with CO2 Laser, Lecture Notes in Mechanical Engineering (2020) 571-580. https://doi.org/10.1007/978-3-030-33146-7_65
[43] R. Ulewicz et al., Quality and work safety in metal foundry, METAL 2020 – 29th Int. Conf. Metall. Mater. (2020) 1287-1293. https://doi.org/10.37904/metal.2020.3649
[44] A. Kozień, N. Kozłowska, Harmonization and Deharmonization of Excise Duty in the European Union as Contemporary Challenges of the EU Tax Law, WSEAS Transactions on Business and Economics 19 (2022) 816-824. https://doi.org/10.37394/23207.2022.19.71
[45] A. Deja et al., Green technologies in smart city multifloor manufacturing clusters: A framework for additive manufacturing management, Prod. Eng. Arch. 29 (2023) 428-443. https://doi.org/10.30657/pea.2023.29.48
[46] B. Gajdzik et al., Approaching open innovation in customization frameworks for product prototypes with emphasis on quality and life cycle assessment (QLCA), Journal of Open Innovation: Technology, Market, and Complexity 10 (2024) art. 100268. https://doi.org/10.1016/j.joitmc.2024.100268
[47] M. Radek et al., Matching Computational Tools to User Competence Levels in Education of Engineering Data Processing, Materials Research Proceedings 34 (2023) 453-459. https://doi.org/10.21741/9781644902691-52
[48] J. Pietraszek, E. Skrzypczak-Pietraszek, The optimization of the technological process with the fuzzy regression, Advanced Materials Research 874 (2014) 151-155. https://doi.org/10.4028/www.scientific.net/AMR.874.151
[49] E. Skrzypczak-Pietraszek, J. Pietraszek, Seasonal changes of flavonoid content in Melittis melissophyllum L. (Lamiaceae), Chemistry and Biodiversity 11 (2014) 562-570. https://doi.org/10.1002/cbdv.201300148
[50] J. Pietraszek, E. Skrzypczak-Pietraszek, The uncertainty and robustness of the principal component analysis as a tool for the dimensionality reduction, Solid State Phenomena 235 (2015) 1-8. https://doi.org/10.4028/www.scientific.net/SSP.235.1
[51] Ł.J. Orman et al., Comparative Analysis of Indoor Environmental Quality and Self-Reported Productivity in Intelligent and Traditional Buildings, Energies 16 (2023) art. 6663. https://doi.org/10.3390/en16186663
