Skip to main content

One Point Lesson as a Tool for Work Standardization and Optimization - Case Study

  • Conference paper
  • First Online:
Advances in Social & Occupational Ergonomics (AHFE 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 605))

Included in the following conference series:

Abstract

The usage of single-point lessons is a technical support for machine operators. The lessons are one-page instructions, complementing the knowledge with diagram of described main or sub-process. They are operating instructions, whose task is to guarantee repeatability of performed actions, and deliver the basic knowledge to operators, equalize it and teach best possible solutions. The instructions determine the method of actions to solve the problem in best known way. Their short content and diagram or photo included make agreed way of working easier to remember. They indicate stability and continuity of the process, share the knowledge of advanced operators in the form of single page instructions.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Burduk, A.: Artificial neural networks as tools for controlling production system and ensuring their stability. In: 12th IFIP TC8 International Conference on Computer Information Systems and Industrial Management, CISIM 2013. LNCS, vol. 8104, pp. 487–498. Springer (2013)

    Google Scholar 

  2. Stadnicka, D., Chandima, R.R.M,. Antosz, K.: Investigation of process approach implementation in manufacturing firms: a methodology for assessing process excellence level. In: 2015 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM, Singapore, Singapore, 06–09 December 2015, pp. 159–164. IEEE (2015)

    Google Scholar 

  3. Juszczynski, M., Kowalski, A.: Achieving desired cycle times by modelling production systems. In: Saeed, K., Chaki, R., Cortesi, A. et al. (eds.) 12th IFIP TC8 International Conference on Computer Information Systems and Industrial Management Applications (CISIM 2013), Krakow, Poland, 25–27 September 2013. LNCS, vol. 8104, pp. 476–486 (2013)

    Google Scholar 

  4. Kosicka, E., Kozłowski, E., Mazukiewicz, D.: The use of stationary tests for analysis of monitored residual processes. Eksploatacja i Niezawodnosc – Maint. Reliab. 17(4), 604–609 (2015)

    Article  Google Scholar 

  5. Pawlowski, K., Pawlowski, E.: Modern manufacturing practices and agile enterprise. Anticipated scope of implementation and empirical results from Polish enterprises. In: Ahram, T., Karwowski, W., Schmorrow, D. (eds.) 6th International Conference on Applied Human Factors and Ergonomics (AHFE 2015) and the Affiliated Conferences, pp. 464–471 (2015)

    Google Scholar 

  6. Kujawińska, A., Vogt, K.: Human factors in visual control. Manage. Prod. Eng. Rev. 6(2), 25–31 (2015)

    Google Scholar 

  7. Burduk, A., Jagodziński, M.: Assessment of production system stability with the use of the FMEA analysis and simulation models. In: 16th International Conference on Intelligent Data Engineering and Automated Learning - IDEAL 2015, Wroclaw, Poland, 14–16 October 2015. LNCS, vol. 9375, pp. 216–223. Springer Cop. (2015)

    Google Scholar 

  8. Kłosowski, G., Gola, A., Świć, A.: Application of fuzzy logic in assigning workers to production tasks. In: Omatu, S., Selamat, A., Bocewicz, G., Sitek, P., Nielsen, I., Garcia-Garcia, J.A., Bajo, J. (eds.) 13th International Conference on Distributed Computing and Artificial Intelligence. Advances in Intelligent Systems and Computing, vol. 474, pp. 505–513 (2016)

    Google Scholar 

  9. Jasiulewicz-Kaczmarek, M., Drożyner, P.: Maintenance management initiatives towards achieving sustainable development. In: Golinska, P. et al. (eds.) Information Technologies in Environmental Engineering Environmental Science and Engineering, pp. 707–721. Springer, Heidelberg (2011)

    Google Scholar 

  10. Dinis-Carvalho, J., Ratnayake, R.M.C., Stadnicka, D., Sousa, R.M., Isoherranen, J.V., Kumar, M.: Performance enhancing in the manufacturing industry: an improvement kata application. In: IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), Bali, Indonesia, 04–07 December 2016, pp. 1250–1254. IEEE (2016)

    Google Scholar 

  11. Saniuk, A., Saniuk, S., Jasiulewicz-Kaczmarek, M.: Benefits of KPI implementation in metallurgical enterprises. In: 25th Anniversary International Conference on Metallurgy and Materials (METAL 2016), Brno, Czech Republic, 25–27 May 2016, pp. 2001–2006 (2016)

    Google Scholar 

  12. Shah, R., Ward, P.T.: Defining and developing measures of lean production. J. Oper. Manage. 25(4), 785–805 (2007)

    Article  Google Scholar 

  13. Liker, J.K.: Toyota Way: 14 Management Principles from the World’s Geatest Manufacturer. McGraw-Hill Education, New York (2004)

    Google Scholar 

  14. Jasiulewicz-Kaczmarek, M.: Integrating lean and green paradigms in maintenance management. In: Boje, E., Xia, X. (eds.) Proceedings of the 19th IFAC World Congress Cape Town, South Africa, 24–29 August 2014, pp. 4471–4476 (2014)

    Google Scholar 

  15. Womack, J.P., Jones, D.T.: Lean Thinking: Banish Waste and Create Wealth in Your Corporation. Simon & Schuster, New York (1996)

    Google Scholar 

  16. Shimokawa, K., Fujimoto, T.: The Birth of Lean. Lean Enterprise Institute, Inc. (2009)

    Google Scholar 

  17. Womack, J.P., Roos, D.J.: The Machine that Changed the World. Rawson Associates, New York (1990)

    Google Scholar 

  18. Starzyńska, B., Hamrol, A.: Excellence toolbox: decision support system for quality tools and techniques selection and application. Total Qual. Manage. Bus. Excellence 24(5), 577–595 (2013)

    Article  Google Scholar 

  19. Grzybowska, K., Gajdzik, B.: Optimisation of equipment setup processes in enterprises. J. Metalurgija 51(4), 563–566 (2012)

    Google Scholar 

  20. Jasiulewicz-Kaczmarek, M., Drożyner, P.: Preventive and pro-active ergonomics influence on maintenance excellence level. In: Robertson, M.M. (ed.) Ergonomics and Health Aspects, HCII 2011. LNCS, vol. 6779, pp. 49–58. Springer, Heidelberg (2011)

    Google Scholar 

  21. Domingos, B.S.M., Ribeiro, R.B., de Barros, J.G.M., de Araújo Júnior, A.H., Sabbadini, F.S.: Process improvement and reorganization of kanban inventory in an industry of machinery and equipment: a case study. J. Mech. Eng. Autom. 4(2), 49–54 (2014)

    Google Scholar 

  22. Brah, S.A., Chong, W.K.: Relationship between total productive maintenance and performance. Int. J. Prod. Res. 42(12), 2383–2401 (2004)

    Article  MATH  Google Scholar 

  23. Butlewski, M., Jasiulewicz-Kaczmarek, M., Misztal, A., Sławińska, M.: Design methods of reducing human error in practice. In: Proceedings of the European Safety and Reliability Conference on Safety and Reliability: Methodology and Applications, ESREL, pp. 1101–1106 (2015)

    Google Scholar 

  24. Kałkowska, J.: Information and communication technologies supporting fuzzy knowledge management. In: Schlick, C., Trzcieliński, S. (eds.) Advances in Ergonomics of Manufacturing: Managing the Enterprise of the Future, Proceedings of the AHFE 2016 International Conference on Human Aspects of Advanced Manufacturing, Walt Disney World®, Florida, USA, 27–31 July 2016, pp. 363–374. Springer International Publishing (2016)

    Google Scholar 

  25. Kowalski, A., Marut, T.: Hybrid methods aiding organisational and technological production preparation using simulation models of nonlinear production systems. In: Corchado, E., Snasel, V., Abraham, A. et al. (eds.) 7th International Conference on Hybrid Artificial Intelligent Systems (HAIS), Salamanca, Spain, 28–30 March 2012. LNCS, vol. 7209, pp. 259–266 (2012)

    Google Scholar 

  26. Więcek-Janka, E., Mierzwiak, R., Kijewska, J.: Competencies’ model in the succession process of family firms with the use of grey clustering analysis. J. Grey Syst. 28(2), 121–131 (2016)

    Google Scholar 

  27. Jasiulewicz-Kaczmarek, M.: Socio-technical integrity in maintenance activities, In: Vink, P. (ed.) Advances in Social and Organizational Factors 2012, pp. 582–592. CRC Press (2012)

    Google Scholar 

  28. Stachowiak, A.: Availability and reliability of resources in an agile manufacturing systems. In: Nowakowski, T. et al. (eds.) Proceedings of the European Safety and Reliability Conference (ESREL), Wroclaw, Poland, 14–18 September 2014, pp. 2425–2432 (2015). Sponsor(s): Wroclaw Univ Technol; Polish Safety & Reliabil As-soc; European Safety & Reliabil Assoc Safety and Reliability: Methodology and Applications

    Google Scholar 

  29. Dave, Y.: Benefits of standardized work: a study. Int. J. Latest Res. Sci. Technol. 1(1), 95–97 (2012). MNK Publication

    Google Scholar 

  30. Imai, M.: Gemba Kaizen: A Commonsense Approach to a Continuous Improvement Strategy. McGraw-Hill Education - Europe, United States (2012)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Katarzyna Szwedzka .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer International Publishing AG

About this paper

Cite this paper

Szwedzka, K., Kaczmarek, J. (2018). One Point Lesson as a Tool for Work Standardization and Optimization - Case Study. In: Goossens, R. (eds) Advances in Social & Occupational Ergonomics. AHFE 2017. Advances in Intelligent Systems and Computing, vol 605. Springer, Cham. https://doi.org/10.1007/978-3-319-60828-0_3

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-60828-0_3

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60827-3

  • Online ISBN: 978-3-319-60828-0

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics