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Optimizing the Material-Product Transformation Processes in the Clothing Manufacturing Line

Year 2022, , 135 - 145, 30.06.2022
https://doi.org/10.32710/tekstilvekonfeksiyon.988251

Abstract

In current economic conditions, one of the major problems in the textile and apparel industry is unable to determine the unnecessary movements of resources (operators, machines, materials). Especially during the production processes, to adjust and decrease the movements of the resources are more difficult, because the focus is mostly on the workers and materials. “Method Study” has developed for resolving these challenges. The string diagram which is one of the techniques of the method study, helps to provide minimum movements of the resources during manufacturing activities. In this study, the production activities of a clothing company were examined with the help of the string diagram to achieve the objectives of eliminating unnecessary movements of the resources, increasing the working speed, providing better working conditions, balancing the production lines. So in the study, the current status of the production system and the parts to be improved were determined. In this direction, the string diagram and line balancing methods were applied for improvements and generation of a new layout plan. As a result of the research, the journal distance of the pieces before sewing together for obtaining the end product was shortened by 39% and the number of operators working in the line was reduced from 32 to 26.

References

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  • [2] Quintana, R. (1998), “A production methodology for agile manufacturing in a high turnover environment”, Int. J. Oper. Prod. Manag., Vol.21 No. 5/6, pp. 630–644.
  • [3] Liu, G. and Fu, Y. (2001), “The characteristics of tropical precipitation profiles as ınferred from satellite radar measurements”, Journal of the Meteorological Society of Japan, Vol. 79 No. 1, pp. 131-143.
  • [4] Lozier, S. and Gawarkiewicz, G. (2001), “Cross-frontal exchange in the middle atlantic bight as evidenced by surface drifters”, Journal of Physical Oceanography, Vol. 31, pp. 2498-2510.
  • [5] Donahue, L. (2009), “A pod design for nursing assignments”, AJN, Vol. 109 No. 11.
  • [6] Aakre, K.T., Valley, T.B. and O'Connor, M.K. (2010), “Quality initiatives: improving patient flow for a bone densitometry practice: results from a mayo clinic radiology quality initiative”, RadioGraphics, Vol. 30 No. 2, pp. 309-315.
  • [7] Bevilacqua, M., Ciarapica, F.E., De Sanctis, I., Mazzuto, G. and Paciarotti, C. (2015),"A changeover time reduction through an integration of lean practices: a case study from pharmaceutical sector", Assembly Automation, Vol. 35 No. 1, pp. 22 – 34. doi: 10.1108/AA-05-2014-035
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  • [9] Gebrehiweta, T.B. and Adhiambo, M. (2017), “Improving the productivity of the sewing section through line balancing techniques: a case study of almeda garment factory”, International Journal of Sciences: Basic and Applied Research (IJSBAR), Vol. 34 No. 1, pp.318-328.
  • [10] Chan, C.O. and Tay, H.L. (2018) "Combining lean tools application in kaizen: a field study on the printing industry", International Journal of Productivity and Performance Management, Vol. 67 No. 1, pp. 45-65. doi:10.1108/IJPPM-09-2016-0197
  • [11] Senderská, K., Mareš, A. and Václav, Š. (2017), “Spaghetti diagram application for workers’ movement analysis”, U.P.B. Sci. Bull., Series D, Vol. 79, No. 1, pp. 139-150.
  • [12] Mahajan, M., Chistopher, K.B., Shiva, H. and Prasad, H.C. (2019), “Implementation of lean techniques for sustainable workflow process in Indian motor manufacturing unit”, 2nd International Conference on Sustainable Materials Processing and Manufacturing (SMPM 2019), Procedia Manufacturing 35, pp. 1196–1204.
  • [13] Yalçın, M., Elyas, C., Yıldız, S., Alpşen, C. and Yalçın, G. (2018), “ The improvement of hospital laboratory processes using the principles of lean methodology (toyota production system-spaghetti diagram), Konuralp Medical Journal, Vol. 10 No. 1, pp. 99-104.
  • [14] Cohen, B.A. and Decker, M.C. (2017), “Implementation of lean methodology in a free clinic”, Free Clin Res Collect, Vol. 3.
  • [15] Delice, Y., Aydoğan, E.K., Özcan, U. and İlkay, M.S. (2017), “A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing”, J Intell Manuf, Vol.28 pp. 23–36, doi: 10.1007/s10845-014-0959-7.
  • [16] Ajenblit, D.A. and Wainwright, R.L. (1998) “Applying genetic algorithms to the u-shaped assembly line balancing problem”, IEEE, pp. 96-101.
Year 2022, , 135 - 145, 30.06.2022
https://doi.org/10.32710/tekstilvekonfeksiyon.988251

Abstract

References

  • [1] Duguay,C.D., Landry, S. and Pasin, F. (1997), “From mass production to flexible/agile production”, International Journal of Operations & Production Management, Vol. 17 No. 12, pp. 1183-1195.
  • [2] Quintana, R. (1998), “A production methodology for agile manufacturing in a high turnover environment”, Int. J. Oper. Prod. Manag., Vol.21 No. 5/6, pp. 630–644.
  • [3] Liu, G. and Fu, Y. (2001), “The characteristics of tropical precipitation profiles as ınferred from satellite radar measurements”, Journal of the Meteorological Society of Japan, Vol. 79 No. 1, pp. 131-143.
  • [4] Lozier, S. and Gawarkiewicz, G. (2001), “Cross-frontal exchange in the middle atlantic bight as evidenced by surface drifters”, Journal of Physical Oceanography, Vol. 31, pp. 2498-2510.
  • [5] Donahue, L. (2009), “A pod design for nursing assignments”, AJN, Vol. 109 No. 11.
  • [6] Aakre, K.T., Valley, T.B. and O'Connor, M.K. (2010), “Quality initiatives: improving patient flow for a bone densitometry practice: results from a mayo clinic radiology quality initiative”, RadioGraphics, Vol. 30 No. 2, pp. 309-315.
  • [7] Bevilacqua, M., Ciarapica, F.E., De Sanctis, I., Mazzuto, G. and Paciarotti, C. (2015),"A changeover time reduction through an integration of lean practices: a case study from pharmaceutical sector", Assembly Automation, Vol. 35 No. 1, pp. 22 – 34. doi: 10.1108/AA-05-2014-035
  • [8] Ferreira, T., Baptista, A.A., Azevedo, S. and Charrua-Santos T. (2015), “Tool development for support lean manufacturing implementation in intermittent production environment”, Proceedings of the World Congress on Engineering, July 1 - 3, 2015, London, U.K, pp. 972–977.
  • [9] Gebrehiweta, T.B. and Adhiambo, M. (2017), “Improving the productivity of the sewing section through line balancing techniques: a case study of almeda garment factory”, International Journal of Sciences: Basic and Applied Research (IJSBAR), Vol. 34 No. 1, pp.318-328.
  • [10] Chan, C.O. and Tay, H.L. (2018) "Combining lean tools application in kaizen: a field study on the printing industry", International Journal of Productivity and Performance Management, Vol. 67 No. 1, pp. 45-65. doi:10.1108/IJPPM-09-2016-0197
  • [11] Senderská, K., Mareš, A. and Václav, Š. (2017), “Spaghetti diagram application for workers’ movement analysis”, U.P.B. Sci. Bull., Series D, Vol. 79, No. 1, pp. 139-150.
  • [12] Mahajan, M., Chistopher, K.B., Shiva, H. and Prasad, H.C. (2019), “Implementation of lean techniques for sustainable workflow process in Indian motor manufacturing unit”, 2nd International Conference on Sustainable Materials Processing and Manufacturing (SMPM 2019), Procedia Manufacturing 35, pp. 1196–1204.
  • [13] Yalçın, M., Elyas, C., Yıldız, S., Alpşen, C. and Yalçın, G. (2018), “ The improvement of hospital laboratory processes using the principles of lean methodology (toyota production system-spaghetti diagram), Konuralp Medical Journal, Vol. 10 No. 1, pp. 99-104.
  • [14] Cohen, B.A. and Decker, M.C. (2017), “Implementation of lean methodology in a free clinic”, Free Clin Res Collect, Vol. 3.
  • [15] Delice, Y., Aydoğan, E.K., Özcan, U. and İlkay, M.S. (2017), “A modified particle swarm optimization algorithm to mixed-model two-sided assembly line balancing”, J Intell Manuf, Vol.28 pp. 23–36, doi: 10.1007/s10845-014-0959-7.
  • [16] Ajenblit, D.A. and Wainwright, R.L. (1998) “Applying genetic algorithms to the u-shaped assembly line balancing problem”, IEEE, pp. 96-101.
There are 16 citations in total.

Details

Primary Language English
Subjects Wearable Materials
Journal Section Articles
Authors

Mehmet Küçük 0000-0002-0017-5762

Meral İşler 0000-0002-9654-4664

Mücella Güner 0000-0001-8910-7338

Publication Date June 30, 2022
Submission Date August 28, 2021
Acceptance Date April 17, 2022
Published in Issue Year 2022

Cite

APA Küçük, M., İşler, M., & Güner, M. (2022). Optimizing the Material-Product Transformation Processes in the Clothing Manufacturing Line. Textile and Apparel, 32(2), 135-145. https://doi.org/10.32710/tekstilvekonfeksiyon.988251

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