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Sustainable Optimization of Manufacturing Process Effectiveness in Furniture Production

Author

Listed:
  • Andrea Sujova

    (Department of Business Economics, Technical University in Zvolen, T.G. Masaryka 24, 96053 Zvolen, Slovakia)

  • Katarina Marcinekova

    (Department of Business Economics, Technical University in Zvolen, T.G. Masaryka 24, 96053 Zvolen, Slovakia)

  • Stefan Hittmar

    (Department of Management Theories, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia)

Abstract

Sustainable manufacturing is connected with the effectiveness of production processes. There are several solutions to improve manufacturing sustainability. This paper deals with the possibilities of the utilization of mathematical methods to solve optimization problems in the production process of furniture. The aim of the paper is to create a mathematical model of the key processes in order to maximize productivity and cost reduction by identifying key processes and parameters influencing manufacturing effectiveness. After identification of the parameters describing the key process (milling), an abstract model of the manufacturing process was created. Identified input parameters were the cutting velocity, feed rate, and a total volume of removed material. The output parameters were surface roughness, process duration, and process cost. The experimentally measured and calculated values of the output parameters were analyzed by a multiple regression tool. The method of an artificial neural network was used as a numeric method for optimization. The results showed that the maximal effectiveness of the sub-process can be achieved if the CNC machine is set at the cutting velocity of 4398.23 m·min −1 and feed rate of 11.00 m·min −1 . Maximal values of the created neural network showed optimal values of input and output parameters.

Suggested Citation

  • Andrea Sujova & Katarina Marcinekova & Stefan Hittmar, 2017. "Sustainable Optimization of Manufacturing Process Effectiveness in Furniture Production," Sustainability, MDPI, vol. 9(6), pages 1-15, June.
    • Handle: RePEc:gam:jsusta:v:9:y:2017:i:6:p:923-:d:100246
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    References listed on IDEAS

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    1. Leong, G. K. & Snyder, D. L. & Ward, P. T., 1990. "Research in the process and content of manufacturing strategy," Omega, Elsevier, vol. 18(2), pages 109-122.
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    Cited by:

    1. Yali Wang & Yuchen Xi & Xinxiong Liu & Yan Gan, 2024. "Exploring the Dual Potential of Artificial Intelligence-Generated Content in the Esthetic Reproduction and Sustainable Innovative Design of Ming-Style Furniture," Sustainability, MDPI, vol. 16(12), pages 1-24, June.

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