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Statistical Approach to Making Decisions in Manufacturing Process of Floorboard

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Recent Advances in Information Systems and Technologies (WorldCIST 2017)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 571))

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Abstract

The study was conducted at a Polish company operating in the wood industry under the R&D project “Increasing the effectiveness of use of wood in manufacturing processes”, aimed at reducing raw material waste in the surface layer manufacturing process. Results of our studies on the improvement of the wet cutting technology are presented in this paper. Minimization of variability is the first step to reduce material consumption in the process of cutting wood into lamellas. Appropriate values of factors which significantly affect lamella thickness after the cutting operation can be determined through real-life experiments. The methodology is to improve and/or reduce operational allowances and to redesign the tolerance and machine parameters/setting.

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References

  1. Montgomery, D.C.: Introduction to Statistical Quality Control, 7th edn. Wiley, New York (2009)

    MATH  Google Scholar 

  2. Trojanowska, J., Żywicki, K., Machado, J.M., Varela, M.L.R: Shortening changeover time–an industrial study. In: Proceedings of the 2015 10th Iberian Conference on Information Systems and Technologies (CISTI 2015), pp. 92–97, Vol. II – Artigos (2015)

    Google Scholar 

  3. Trojanowska, J., Żywicki, K., Pająk, E.: Influence of selected methods of production flow control on environment. In: Golinska, P., Fertsch, M., Marx-Gomez, J. (eds.) Information Technologies in Environmental Engineering. Environmental Science and Engineering, vol. 3, pp. 695–705. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  4. Trojanowska, J., Pająk, E.: Using the theory of constraints to production processes improvement. In: Kyttner R., Tallin, E. (eds.) Proceedings of the 7th International Conference of DAAAM Baltic Industrial Engineering, (ed.), vol. 1, pp. 322–327 (2010)

    Google Scholar 

  5. 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 

  6. Więcek-Janka, E., Mierzwiak, R., Kijewska, J.: Taxonomic approach to competencies in the succession process of family firms with the use of grey clustering analysis. In: Liu, S., Yang, Y., Mi, C. (eds.) IEEE International Conference on Grey System and Intelligent Services, Leicester, UK, pp. 432–438 (2015)

    Google Scholar 

  7. Więcek-Janka, E., Mierzwiak, R.: The analysis of successors’ competencies in family enterprises with the use of grey system theory. Grey Syst. Theor. Appl. 5(3), 302–312 (2015)

    Article  Google Scholar 

  8. Kłos, S.: A model of an ERP-based knowledge management system for engineer-to-order enterprises. In: Dregvaite, G., Damasevicius, R. (eds.) ICIST 2016. CCIS, vol. 639, pp. 42–52. Springer, Cham (2016). doi:10.1007/978-3-319-46254-7_4

    Chapter  Google Scholar 

  9. Pandilov, Z., Milecki, A., Nowak, A., Górski, F., Grajewski, D., Ciglar, D., Mulc, T., Klaić, M.: Virtual modeling and simulation of a CNC machine feed drive system. Trans. FAMENA 39(4), 37–54 (2016)

    Google Scholar 

  10. Górski, F., Hamrol, A., Kowalski, M., Paszkiewicz, R., Zawadzki, P.: An automatic system for 3D models and technology process design. Trans. FAMENA 35(2), 69–78 (2011)

    Google Scholar 

  11. Ulewicz, R., Jelonek, D., Mazur, M.: Implementation of logic flow in planning and production control. Man. Prod. Eng. Rev. 7(1), 89–94 (2016)

    Google Scholar 

  12. Wu, G.Q., Luo, Y.P., Wei, D.: Bearing fault prediction system design based on SPC. J. Fail. Anal. Prev. 16(1), 129–134 (2016)

    Article  Google Scholar 

  13. Madanhire, I., Mbohwa, C.: Application of statistical process control (SPC) in manufacturing industry in developing country. In: Seliger G., Kohl G., Mallon J. (eds.) 13th Global Conference on Sustainable Manufacturing – Decoupling Growth from Resource Use, Procedia CIRP, vol. 40, pp. 580–583 (2016)

    Google Scholar 

  14. Moore, S.S., Murphy, E.: Process visualization in medical device manufacture: an adaption of short run SPC techniques. Qual. Eng. 25(3), 247–265 (2013)

    Article  Google Scholar 

  15. Marigoudar, R.N., Kanakuppi, S.: Investigation of tool wear and surface roughness during machining of ZA43-SiCp composite using full factorial approach. Proc. Inst. Mech. Eng. Part B J. Eng. Manuf. 227(6), 821–831 (2013)

    Article  Google Scholar 

  16. Dahbi, S., El Moussami, H., Ezzine, L.: Multiple regression model for surface roughness using full factorial design. In: Proceedings of International Conference on Industrial Engineering and Systems Management, pp. 439–444 (2015)

    Google Scholar 

  17. Khurana, D., Choudhary, R., Subudhi, S.: Investigation of thermal conductivity and viscosity of Al2O3/water nanofluids using full factorial design and utility concept. NANO 11(8), 1650093 (2016)

    Article  Google Scholar 

  18. Kujawińska, A., Rogalewicz, M., Diering, M.: Application of expectation maximization method for purchase decision-making support in welding branch. Man. Prod. Eng. Rev. 7(2), 29–33 (2016)

    Google Scholar 

  19. Kujawińska, A., Rogalewicz, M., Piłacińska, M., Kochański, A., Hamrol, A., Diering, M.: Application of dominance-based rough set approach (DRSA) for quality prediction in a casting process. Metalurgija 55(4), 821–824 (2016)

    Google Scholar 

  20. Orłowski, K.A., Walichnowski, A.: Economic analysis of upper layer production of engineered floorings. Wood Res. Papers Rep. Announcements (Drewno) 56(189), 115–126 (2013). (in Polish)

    Google Scholar 

  21. AIAG-Work Group, Measurement System Analysis, 4th edn., Reference manual, AIAG-Work Group, Daimler Chrysler Corporation, Ford Motor Company, General Motors Corporation (2010)

    Google Scholar 

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Acknowledgments

The results presented in the paper come from the Improvement of raw wood efficiency in the industrial production processes R&D project, run by the Faculty of Mechanical Engineering and Management, Poznan University of Technology, Poland (in cooperation with a floorboard manufacturer in Poland), supported by the National Centre for Research and Development (NCBR) from the financial means within the BIOSTRATEG program (BIOSTRATEG2/298950/1/NCBR/2016).

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Correspondence to Michał Rogalewicz .

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Kujawińska, A., Rogalewicz, M., Diering, M., Hamrol, A. (2017). Statistical Approach to Making Decisions in Manufacturing Process of Floorboard. In: Rocha, Á., Correia, A., Adeli, H., Reis, L., Costanzo, S. (eds) Recent Advances in Information Systems and Technologies. WorldCIST 2017. Advances in Intelligent Systems and Computing, vol 571. Springer, Cham. https://doi.org/10.1007/978-3-319-56541-5_51

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  • DOI: https://doi.org/10.1007/978-3-319-56541-5_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-56540-8

  • Online ISBN: 978-3-319-56541-5

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