The Effect of Lean Tools on the Safety Level in Manufacturing Organisations

Open access

Abstract

Lean Management is currently one of the best-known and is the most widely used management concepts in production enterprises. Lean creates such a culture of work in an organization that makes all participants in the organization interested in raising the level of quality, reducing costs and delivery time. However, there is no information about the influence of lean tools on the level of safety in production organizations. The paper presents the influence of five lean tools on the safety level by the example of metal manufacturing organization. The number of potentially dangerous situations and the number of accidents were taken as the measure of safety level. The obtained results indicates that the most important for the safety level is 5S, TPM while Kaizen, Poka-Yoka and VSM are smaller. The paper aims to broaden the knowledge about the dependence of the use of lean tools on the level of occupational safety.

If the inline PDF is not rendering correctly, you can download the PDF file here.

  • Anttila J. Jussila K. 2018. Organizational Learning in Developing the Integrated Quality Management. Production Enginering Archives 18 3–13 https://doi.org/10.30657/pea.2018.18.01

  • Blaskova M. Blasko R. Rosak-Szyrocka J. Ulewicz R. 2017. Flexibility and Variability of Motivating Employees and Managers in Slovakia and Poland. Polish J. Manag. Stud. 15 26–36 https://doi.org/10.17512/pjms.2017.15.1.03

  • Cusumano M. 1994. The Limits of “Lean”. Sloan Manage. Rev. 35 27–32. https://doi.org/10.1109/TASE.2010.2041450

  • Domagala M. Momein H. Domagala-Fabis J. Filo G. Kwiatkowski D. 2018a. Simulation of cavitation erosion in hydraulic valve. Terotechnology 2017 5 1–6.

  • Domagala M. Momeni H. Domagala-Fabis J. Filo G. Krawczyk M. Rajda J. 2018b. Simulation of particle erosion in a hydraulic valve. Terotechnology 2017 5 17–24.

  • Gadek-Moszczak A. Pietraszek J. Jasiewicz B. Sikorska S. Wojnar L. 2015. The bootstrap approach to the comparison of two methods applied to the evaluation of the growth index in the analysis of the digital x-ray image of a bone regenerate. New Trends in Comput. Collective Intelligence 572 127–136.

  • Gadek-Moszczak A. Korzekwa J. (2017). Application of the image analysis methods for quantitative description of the Al2O3/WS2 oxide layers wear mechanism. Metal 2017: 26th Int. Conf. on Metallurgy and Materials 1264–1269.

  • Gálová K. Rajnoha R. Ondra P. 2018. The Use of Industrial Lean Management Methods in the Economics Practice: An Empirical Study of the Production Companies in the Czech Republic. Polish J. Manag. Stud. 17 93–104.

  • Garza-Reyes J.A. Kumar V. Chaikittisilp S. Tan K.H. 2018. The effect of lean methods and tools on the environmental performance of manufacturing organisations. Int. J. Prod. Econ. 200 170–180.

  • Gembalska-Kwiecień A. Skotnicka-Zasadzień B. Wolniak R. Bujna M. 2018. Creating Participation of Employees in Improving Work Safety in Enterprise. Multidiscip. Asp. Prod. Eng. 1 689–694 https://doi.org/10.2478/mape-2018-0087

  • Górny A. 2018. Safety in ensuring the quality of production - the role and tasks of standards requirements. MATEC Web Conf. 183 01005 https://doi.org/10.1051/matecconf/201818301005

  • Helmi S.A. Nordin N.N. Hisjam M. 2017. Errors prevention in manufacturing process through integration of Poka Yoke and TRIZ. p. 020025 https://doi.org/10.1063/1.5010642

  • Hines P. Rich N. 1997. The seven value stream mapping tools. Int. J. Oper. Prod. Manag. 17 46–64 https://doi.org/10.1108/01443579710157989

  • Ingaldi M. Dziuba S.T. Cierniak-Emerych A. 2018. Analysis of problems during implementation of Lean Manufacturing elements. MATEC Web Conf. 183 01004 https://doi.org/10.1051/matecconf/201818301004

  • Kleszcz D. 2018. Barriers and Opportunities in the Implementation of Lean Manufacturing In The Ceramic Industry. Prododuction Enginering Archives 19 48–52 https://doi.org/10.30657/pea.2018.19.10

  • Kotus M. Koloman K. Hudec M. 2018. Assessment of Wood Processing Safety in the Production Organization. Multidiscip. Asp. Prod. Eng. 1 727–737 https://doi.org/10.2478/mape-2018-0092

  • Kovács G. Kot S. 2017. Economic and social effects of novel supply chain concepts and virtual enterprises. J. Int. Stud. 10 237–254 https://doi.org/10.14254/2071-8330.2017/10-1/17

  • Łyp-Wrońska K. Tyczyński B. 2018. Analysis of the 5S method in production enterprise - case study. MATEC Web Conf. 183 01016 https://doi.org/10.1051/matecconf/201818301016

  • Maszke A. Dwornicka R. Ulewicz R. 2018. Problems in the Implementation of the Lean Concept at a Steel Works - Case Study. MATEC Web Conf. 183 01014 https://doi.org/10.1051/matecconf/201818301014

  • Mazur M. 2016. Assumptions concept of LEAN processes in the organization of the work on example the production of building components. Prododuction Enginering Archives 13/4 41–43.

  • Nitkiewicz T. Ayen Z. 2018. Identifying key criteria in development of Industrial Engineering education. MATEC Web Conf. 183 04008 https://doi.org/10.1051/matecconf/201818304008

  • Onyusheva I. 2017. Analytical and Managerial Issues of Human Capital in Conditions Of Global Competitiveness: The Case of Kazakhstan. Polish J. Manag. Stud. 16 198–209 https://doi.org/10.17512/pjms.2017.16.2.17

  • Osocha P. 2018. Calculation of Residual Life for P91 Material Based on Creep Rate and Time to Rupture. Mater. Res. Proc. 5 177–182.

  • Pietraszek J. 2012. Fuzzy Regression Compared to Classical Experimental Design in the Case of Flywheel Assembly. Artificial Intelligence and Soft Computing Pt I 7267 310-317.

  • Pietraszek J. Kolomycki M. Szczotok A. Dwornicka R. 2016. The Fuzzy Approach to Assessment of ANOVA Results in: Nguyen NT and Manolopoulos Y and Iliadis L and Trawinski B (Ed.) Computational Collective Intelligence ICCCI 2016 PT I Lecture Notes in Artificial Intelligence 260–268.

  • Pietraszek J. Skrzypczak-Pietraszek E. 2014. The Optimization of the Technological Process with the Fuzzy Regression in: Szczotok A et al. (Eds.) Terotechnology Advanced Materials Research. p. 151+.

  • Pietraszek J. Szczotok A. Kolomycki M. Radek N. Kozien E. 2017. Non-parametric assessment of the uncertainty in the analysis of the airfoil blade traces. Metal 2017: 26th Int. Conf. on Metallurgy and Materials 1412-1418.

  • Pliszka I. Radek N. Gadek-Moszczak A. Fabian P. Paraska O. 2018. Surface improvement by WC-Cu electro-spark coatings with laser modification. Terotechnology 2017 5 237-242.

  • Radek N. Broncek J. Fabian P. Pietraszek J. Dudek A. 2017. Tribological properties of electro-spark deposited coatings after laser treatment. Proc. 58th Int. Conf. Machine Design Departments (ICMD 2017). Czech Univ. Life Sci. Prague Kamycka 129 Prague 6 165 21 Czech Republic 314–319.

  • Radek N. Szczotok A. Gadek-Moszczak A. Dwornicka R. Broncek J. Pietraszek J. 2018a. The impact of laser processing parameters on the properties of electro-spark deposited coatings. Arch. Metall. Mater. 63 809-816.

  • Radek N. Pietraszek J. Szczotok A. 2018b. Microstructure and tribological properties of esd coatings after laser processing. Mater. Res. Proc. 5 206–209.

  • Shou W. Wang J. Wu P. Wang X. Chong H.-Y. 2017. A cross-sector review on the use of value stream mapping. Int. J. Prod. Res. 55 3906-3928 https://doi.org/10.1080/00207543.2017.1311031

  • Shrimali A.K. Soni V.K. Pawar S.S. 2018. Interpretive Structural Modeling of identified Barriers to Lean Implementation in SMEs. MATEC Web Conf. 183 01008 https://doi.org/10.1051/matecconf/201818301008

  • Singh B. et al. 2016. Study of doubly strange systems using stored antiprotons. Nucl. Phys. A 954 323-340.

  • Skrzypczak-Pietraszek E. Piska K. Pietraszek J. 2018a. Enhanced production of the pharmaceutically important polyphenolic compounds in Vitex agnus castus L. shoot cultures by precursor feeding strategy. Eng. Life Sci. 18 287-297.

  • Skrzypczak-Pietraszek E. Reiss K. Zmudzki P. Pietraszek J. 2018b. Enhanced accumulation of harpagide and 8-O-acetyl-harpagide in Melittis melissophyllum L. agitated shoot cultures analyzed by UPLC-MS/MS. PLoS ONE 13 e0202556.

  • Stasiak-Betlejewska R. Parv L. Gliń W. 2018. The Influence of Industry 4.0 on the Enterprise Competitiveness. Multidiscip. Asp. Prod. Eng. 1 641–648 https://doi.org/10.2478/mape-2018-0081

  • Tiziani A. Molinari A. Kazior J. Straffelini G. 1990. Effect of vacuum sintering on the mechanical-properties of copper-alloyed stainless-steel. Powder Metall. Int. 22 17-19.

  • Ulewicz R. Jelonek D. Mazur M. 2016. Implementation of Logic Flow in Planning and Production Control. Manag. Prod. Eng. Rev. 7 89–94 https://doi.org/10.1515/mper-2016-0010

  • Ulewicz R. Nowicka-Skowron M. 2017. Total Quality Management in the Practice of Polish Metallurgical Enterprises in: Metal 2017: 26th International Conference on Metallurgy and Materials. Tanger Ltd Keltickova 62 Slezska Ostrava 710 00 Czech Republic 2338–2343.

  • Woźny A. Dobosz M. Saja P. 2018. Budowanie Strategii Zarządzania BHP w Przedsiębiorstwie. Qual. Prod. Improv. 08 75–83 https://doi.org/10.30657/qpi.2018.08.07

  • Zasadzien M. Midor K. 2015. Innovative Application Of Quality Management Tools In A Hard Coal Mine in: Science And Technologies In Geology Exploration And Mining SGEM 2015 Vol III International Multidisciplinary Scientific GeoConference-SGEM 415–422.

  • Zorawski W. Chatys R. Radek N. Borowiecka-Jamrozek J. 2008. Plasma-sprayed composite coatings with reduced friction coefficient. Surface & Coatings Technology 202 18 4578-4582.

Search
Journal information
Metrics
All Time Past Year Past 30 Days
Abstract Views 0 0 0
Full Text Views 177 177 13
PDF Downloads 186 186 8