Methodology Supporting the Planning of Machining Allowances in the Wood Industry

  • Agnieszka Kujawińska
  • Magdalena Diering
  • Krzysztof Żywicki
  • Michał Rogalewicz
  • Adam Hamrol
  • Piotr Hoffmann
  • Marek Konstańczak
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 649)


The paper presents a methodology of determination of technological allowances in the manufacturing process of semi-products of deciduous timber (oak). Soft modelling has been proposed for the determination of allowances for the variability of consecutive technological processes caused by the material, machine, operator, measurement system and random factors. The proposed methodology has been applied in the technological process of manufacturing the surface layer of a floor board (lamella). The method of identification of a soft model for the process of cutting timber into lamellas has been presented. Twenty soft models have been identified and recommendations have been made, based on experiments, for reducing the variability and centering the process. The proposed process modelling method facilitates economic estimation of allowances, controlling the manufacturing process and forecasting its future condition. As a result of the research, the manufacturing capacity of lamellas of acceptable quality has been increased by ca. 30%.


Soft modelling Decision making process Statistical model Wood Timber wood Material waste Allowance Bonding process 



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


  1. 1.
    Orłowski, K.A., Walichnowski, A.: Economic analysis of upper layer production of engineered floorings (in Polish). Wood. Res. Pap. Rep. Announ. (Drewno) 56(189), 115–126 (2013)Google Scholar
  2. 2.
    Kłos, S., Patalas-Maliszewska, J.: throughput analysis of automatic production lines based on simulation methods. In: Jackowski, K., Burduk, R., Walkowiak, K., Wozniak, M., Yin, H. (eds.) Intelligent Data Engineering and Automated Learning – IDEAL. Lecture Notes in Computer Science, vol. 9375, pp. 81–190 (2015)Google Scholar
  3. 3.
    Vieira, G., Reis, L., Varela, M.L.R., Machado, J., Trojanowska, J.: Integrated platform for real-time control and production and productivity monitoring and analysis. Rom. Rev. Prec. Mech. Opt. Mechatr. 50, 119–127 (2016)Google Scholar
  4. 4.
    Grzybowska, K., Gajdzik, B.: Optimisation of equipment setup processes in enterprises. Metalurgija 51(4), 563–566 (2012)Google Scholar
  5. 5.
    Krenczyk, D., Jagodzinski, M.: ERP, APS and simulation systems integration to support production planning and scheduling. Advances in Intelligent Systems and Computing, vol. 368, pp. 451–461 (2015)Google Scholar
  6. 6.
    Jasiulewicz-Kaczmarek, M.: SWOT analysis for Planned Maintenance strategy – a case study. In: Dolgui, A., et al. (eds.) Proceedings of IFAC Conference on Manufacturing Modelling, Management and Control (MIM), IFAC PapersOnLine, vol. 49(12), pp. 674–679 (2016)Google Scholar
  7. 7.
    Grote, K.H., Antonsson, E.K. (eds.): Springer Handbook of Mechanical Engineering. Springer, Heidelberg (2009)Google Scholar
  8. 8.
    US Department of Commerce, National Bureau of Standards, Standards and specifications in the wood-using industries, 79 (1927)Google Scholar
  9. 9.
    Grading of oak sawn timber, FrenchTimber & APECF (2009)Google Scholar
  10. 10.
    TKB-Technical Briefing Note 1, Installation of Parquet (2007)Google Scholar
  11. 11.
    Kujawińska, A., Vogt, K., Wachowiak, F.: Ergonomics as Significant Factor of Sustainable Production. In: Golińska, P., Kawa, A. (eds.) Technology Management for Sustainable Production and Logistics. EcoProduction, pp. 193–203. Springer, Heidelberg (2015)CrossRefGoogle Scholar
  12. 12.
    Trojanowska, J., Żywicki, K., Pająk, E.: Influence of selected methods of production flow control on environment. In: Golińska, P., Fertsch, M., Marx Gomez, J. (eds.) Information Technologies in Environmental Engineering, pp. 695–705. Springer (2011)Google Scholar
  13. 13.
    Report of the R&D project: Improvement of Raw Wood Efficiency in the Industrial Production Processes, BIOSTRATEG2/298950/1/NCBR/2016, Faculty of Mechanical Engineering and Management, Poznan University of Technology, Poland (2016)Google Scholar
  14. 14.
    Kujawińska, A., Rogalewicz, M., Diering, M., Hamrol, A.: Statistical approach to making decisions in manufacturing process of floorboard. In: Proceedings of 5th World Conference on Information Systems and Technologies, Recent Advances in Information Systems and Technologies, vol. 3, pp. 499–508. Springer (2017)Google Scholar
  15. 15.
    Diering, M., Dyczkowski, K., Hamrol, A.: New method for assessment of raters agreement based on fuzzy similarity. In: 10th International Conference on Soft Computing Models in Industrial and Environmental Applications. Advances in Intelligent Systems and Computing, vol. 368, pp. 415–425. Springer (2015)Google Scholar
  16. 16.
    Rogalewicz, M., Sika, R.: Methodologies of knowledge discovery from data and data mining methods in mechanical engineering. Man. and Prod. Eng. Rev. 7(4), 97–108 (2016)Google Scholar
  17. 17.
    Królczyk, G., Legutko, S., Królczyk, J., Tama, E.: Materials flow analysis in the production process – case study. In: Applied Mechanics and Materials, vol. 474, pp. 97–102. Trans Tech Publications, Switzerland (2014)Google Scholar

Copyright information

© Springer International Publishing AG 2018

Authors and Affiliations

  • Agnieszka Kujawińska
    • 1
  • Magdalena Diering
    • 1
  • Krzysztof Żywicki
    • 1
  • Michał Rogalewicz
    • 1
  • Adam Hamrol
    • 1
  • Piotr Hoffmann
    • 2
  • Marek Konstańczak
    • 2
  1. 1.Chair of Management and Production EngineeringPoznań University of TechnologyPoznańPoland
  2. 2.Barlinek Inwestycje Sp. z o.oBarlinekPoland

Personalised recommendations