Abstract
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%.
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Notes
- 1.
Classes of wood are groups with a certain set of features which meet the technical standards applicable at the company. The features include type of wood, cross-section dimensions of log and permissible defects.
- 2.
The research covers four dimension groups of lamellas (distinguished by length, width and thickness) corresponding to the geometric parameters of the floor boards offered by the manufacturer.
References
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)
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)
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)
Grzybowska, K., Gajdzik, B.: Optimisation of equipment setup processes in enterprises. Metalurgija 51(4), 563–566 (2012)
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)
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)
Grote, K.H., Antonsson, E.K. (eds.): Springer Handbook of Mechanical Engineering. Springer, Heidelberg (2009)
US Department of Commerce, National Bureau of Standards, Standards and specifications in the wood-using industries, 79 (1927)
Grading of oak sawn timber, FrenchTimber & APECF (2009)
TKB-Technical Briefing Note 1, Installation of Parquet (2007)
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)
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)
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)
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)
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)
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)
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)
Acknowledgements
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.
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Kujawińska, A. et al. (2018). Methodology Supporting the Planning of Machining Allowances in the Wood Industry. In: Pérez García, H., Alfonso-Cendón, J., Sánchez González, L., Quintián, H., Corchado, E. (eds) International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding. SOCO ICEUTE CISIS 2017 2017 2017. Advances in Intelligent Systems and Computing, vol 649. Springer, Cham. https://doi.org/10.1007/978-3-319-67180-2_33
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