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Managing Variations in Process Control: An Overview of Sources and Degradation Methods

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Advances in Ergonomics Modeling, Usability & Special Populations

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 486))

Abstract

Understanding variation is a crucial aspect of managing and improving any manufacturing or product development process. This paper investigates sources of variations in process control. It shows main sources of variability such as actual process variations or measurement variations. Moreover, it attempt to classify causes of variation. Based on state-of-the-art research methods, researchers are able to investigate variability and develop a process to minimize the negative impact of variability on processes. In particular attention is the role of human factors and its diverse impact on process control.

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References

  1. Dubrovski, D.: The role of customer satisfaction in achieving business excellence. Total Qual. Manag. 12(7–8), 920–925 (2001)

    Article  Google Scholar 

  2. Mazur, A.: Model of OHS management systems in an excellent company. In: Antona, M., Stephanidis, C. (eds.) Universal Access in Human-Computer Interaction. Access to the Human Environment and Culture, LNCS, vol. 9178, pp. 456–467. Springer, Heidelberg (2015)

    Chapter  Google Scholar 

  3. 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, Berlin (2011)

    Chapter  Google Scholar 

  4. Miller, I., Miller, M.: Statistical Methods for Quality with Applications to Engineering and Management. Prentice Hall, Englewood Cliffs, NJ (1995)

    MATH  Google Scholar 

  5. Evans, J.R., Lindsay, W.M.: The Management and Control of Quality. Cengage Learning, South-Western, Andover (2011)

    Google Scholar 

  6. Oakland, J.S.: Statistical Process Control. Butterworth Heinemann, Oxford (2007)

    Google Scholar 

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

    Google Scholar 

  8. Kujawińska A., Rogalewicz A., Diering M., Piłacińska M., Hamrol A., Kochański A.: Assessment of ductile iron casting process with the use of the DRSA method. J. Min. Metall. Sect. B 52(1), 17–24 (2016)

    Google Scholar 

  9. Bequette, B.W.: Process Control: Modeling, Design and Simulation. Prentice Hall, Upper Saddle River, NJ (2003)

    Google Scholar 

  10. Mrugalska, B., Akielaszek-Witczak, A., Aubrun, C.: Towards product robust quality control with sequential D-optimum inputs design. Chem. Eng. Trans. 43, 2137–2142 (2015). doi:10.3303/CET1543357

    Google Scholar 

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

    Google Scholar 

  12. Fontaine, C.W: Organizational Psychology Essays: Guides for a Human Capital Approach to Driving Performance. LuLu.com, Raleigh (2009)

    Google Scholar 

  13. Barrentine, L.B.: Concepts for R&R Studies. ASQC Quality Press, Milwaukee, WI (1991)

    Google Scholar 

  14. Ehrlich, B.H.: Transactional Six Sigma and Lean Servicing: Leveraging Manufacturing Concepts to Achieve World-Class Service. CRC Press LLC, Boca Raton (2002)

    Book  Google Scholar 

  15. Stamatis, D.H.: Six Sigma and Beyond: Statistical Process Control, Tom 4. CRC Press LLC, Boca Raton (2003)

    Google Scholar 

  16. Andell, J.L.: Benefiting from Six Sigma Quality. In: ReVelle, J.B. (ed.) Manufacturing Handbook of Best Practices: An Innovation, Productivity and Quality Focus, pp. 29–48. CRC Press, Boca Raton (2001)

    Google Scholar 

  17. What are the sources of process variation? http://support.minitab.com/en-us/minitab/17/topic-library/quality-tools/measurement-system-analysis/basics/sources-of-process-variation/

  18. Healy, S., Wallace, M.: Gage repeatability and reproducibility methodologies suitable for complex test systems in semi-conductor manufacturing, six sigma projects and personal experiences. http://www.intechopen.com/books/six-sigma-projects-and-personal-experiences/gage-repeatability-andreproducibility-methodologies-suitable-for-complex-test-systems-in-semi-condu (2011)

  19. Measurement systems analysis. Reference manual, 4th ed., Chrysler Group LLC, Ford Motor Company, General Motors Corporation (2010)

    Google Scholar 

  20. Morris, A.S: Measurement and Instrumentation Principles. Butterworth-Heinemann, Oxford (2001)

    Google Scholar 

  21. Al-Refaie, A., Bata, N.: Evaluating measurement and process capabilities by GR&R with four quality measures. Measurement 43(6), 842–851 (2010)

    Article  Google Scholar 

  22. Womack, J.P., Jones. D.T., Roos, D.: The Machine that Changed the World: The Story of Lean Production. Toyota’s Secret Weapon in the Global Car. Wars that is Revolutionizing World Industry. Free Press, New York (2007)

    Google Scholar 

  23. Keyes J.: The need for lean training. J. Manage. Policy Pract. 14(3) (2013)

    Google Scholar 

  24. Sanchez, A.M., Perez, M.P.: Lean indicators and manufacturing strategies. Int. J. Oper. Prod. Manage. 21(11), 1433–1452 (2001)

    Article  Google Scholar 

  25. Wyrwicka, M.K., Mrugalska, B.: Barriers to eliminating waste in production system. In: Conference Proceedings of the 6th International Conference on Engineering, Project, and Production Management (EPPM2015), pp. 354–363, 2–4 September 2015, Gold Coast, Australia. http://www.ppml.url.tw/EPPM/conferences/2015/download/Barriers%20to%20Eliminating%20Waste%20in%20Production%20System.pdf

  26. Hines, P., Holweg, M., Rich, N.: Learning to evolve: a review of contemporary lean thinking. Int. J. Oper. Prod. Manage. 24(10), 994–1011 (2004)

    Article  Google Scholar 

  27. Pettersen, J.: Defining lean production: some conceptual and practical issues. TQM J 21(2), 127–142 (2009)

    Article  Google Scholar 

  28. Sundar, R., Balaji, A.N., Satheesh Kumar, R.M.: A review on lean manufacturing implementation techniques. Procedia Eng. 97, 1875–1885 (2014)

    Article  Google Scholar 

  29. Becker, C., Scholl, A.: A Survey on Problems and Methods in Generalized Assembly Line Balancing. Eur. J. Oper. Res. 168, 694–715 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  30. Hinckley, C.M.: Combining mistake-proofing and Jidoka to achieve world class quality in clinical chemistry. Accred. Qual. Assur. 12, 223–230 (2007)

    Article  Google Scholar 

  31. Charron, R., Harrington, H.J., Voehl, F., Wiggin, H.: The Lean Management Systems: Handbook. Taylor & Francis Group, CRC Press, Boca Raton (2015)

    Google Scholar 

  32. Delavigne, K.T.: Deming’s Profound Changes. When Will the Sleeping Giant Awaken? PTR Prentice Hall, Englewood Cliffs, NJ (1994)

    Google Scholar 

  33. Montgomery, D.C.: Introduction to statistical quality control, 6th edn. Wiley, New York (2009)

    MATH  Google Scholar 

  34. Burdick, R.K., Borror, C.M., Montgomery, D.C.: A review of methods for measurement systems capability analysis. J Qual. Technol. 35(4), 342–354 (2003)

    Google Scholar 

  35. Foster, S.T.: Managing Quality: An Integrated Approach, 3rd edn. Prentice-Hall, Upper Saddle River, NJ (2006)

    Google Scholar 

  36. Campbell, J.: Gauge repeatability and reproducibility. Viewpoint News. http://www.viewpointusa.com/newsletter/2010_Oct/mainarticle_2010_Oct.php, October (2010)

  37. Pop, L.D., Elod, N.: Improving a measuring system according to ISO/ TS 169498th International Conference Interdisciplinarity in Engineering, vol. 19, pp. 1023–1030. INTER-ENG 2014, 9–10 October 2014, Tirgu-Mures, Romania, Procedia Technology (2015)

    Google Scholar 

  38. Mrugalska, B., Akielaszek-Witczak, A., Stetter, R.: Robust quality control of products with experimental design. In: Popescu, D. (ed.) International Conference on Production Research—Regional Conference Africa, Europe and the Middle East and 3rd International Conference on Quality and Innovation in Engineering and Management, pp. 343–348, Cluj-Napoca, Romania, July 1–5 2014; Technical University of Cluj-Napoca; Cluj-Napoca, Romania

    Google Scholar 

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Author information

Authors and Affiliations

  1. Poznan University of Technology Faculty of Engineering Management, ul. Strzelecka 11, 60-965, Poznan, Poland

    Beata Mrugalska

  2. Institute for Advanced Systems Engineering, University of Central Florida, Orlando, USA

    Tareq Ahram

Authors
  1. Beata Mrugalska
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  2. Tareq Ahram
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Corresponding author

Correspondence to Beata Mrugalska .

Editor information

Editors and Affiliations

  1. Rua Antonio Valdevino da Costa, 280, Federal University of Pernambuco, Recife, Brazil

    Marcelo Soares

  2. RuaVisconde de Jequitinhonha, Catholic University of Pernambuco, Recife, Brazil

    Christianne Falcão

  3. University of Central Florida, Orlando, Florida, USA

    Tareq Z. Ahram

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Mrugalska, B., Ahram, T. (2017). Managing Variations in Process Control: An Overview of Sources and Degradation Methods. In: Soares, M., Falcão, C., Ahram, T. (eds) Advances in Ergonomics Modeling, Usability & Special Populations. Advances in Intelligent Systems and Computing, vol 486. Springer, Cham. https://doi.org/10.1007/978-3-319-41685-4_34

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  • DOI: https://doi.org/10.1007/978-3-319-41685-4_34

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-41684-7

  • Online ISBN: 978-3-319-41685-4

  • eBook Packages: EngineeringEngineering (R0)

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