Research Article
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Year 2019, Volume: 29 Issue: 4, 300 - 304, 31.12.2019
https://doi.org/10.32710/tekstilvekonfeksiyon.452918

Abstract

References

  • 1. Silva LF, Lima M, Carvalho H, Rocha AM, Ferreira FN, Monteiro JL, Couto C. 2003. Actuation, monitoring and closed-loop control of sewing machine presser foot. Transactions of the Institute of Measurement and Control 25 (5), 419-432.
  • 2. Syduzzaman M, Golder AS, 2015. Apparel analysis for layout planning in sewing section. International Journal of Current Engineering and Technology 5 (3), 1736-1742.
  • 3. Ertuğrul I, Öztaş T. 2015. The application of sewing machine selection with the multi-objective optimızation on the basis of ratio analysis method (moora) in apparel sector. Tekstil ve Konfeksiyon 25 (1), 80-85.
  • 4. Ulutaş A. 2017. Sewing machine selection for a textile workshop by using edas method. Journal of Business Research-Türk 9 (2), 169-183.
  • 5. Messac A, Gupta S, Akbulut B. 1996. Linear physical programming: a new approach to multiple objective optimization. Transactions on Operational Research 8 (2), 39-59.
  • 6. Ilgin MA, Gupta SM, 2012. Physical programming: A review of the state of the art". Studies in Informatics and Control 21 (4), 349-366.
  • 7. Messac A. 2015. Optimization in practice with matlab: for engineering students and professionals. Cambridge University Press, New York.
  • 8. Ilgin MA, Gupta SM. 2012. Remanufacturing modeling and analysis. CRC Press, Boca Raton.
  • 9. Gulsun B, Tuzkaya G, Tuzkaya UR, Onut S. 2009. An aggregate production planning strategy selection methodology based on linear physical programming. International Journal of Industrial Engineering 16 (2), 135-146.
  • 10. Pochampally KK, Gupta SM. 2012. Use of linear physical programming and bayesian updating for design issues in reverse logistics. International Journal of Production Research 50 (5), 1349-1359.
  • 11. Ilgin MA. 2017. Integrating linear physical programming and fuzzy logic for robot selection. International Journal of Robotics Applications and Technologies 5 (2), 1-17.

SEWING MACHINE SELECTION USING LINEAR PHYSICAL PROGRAMMING

Year 2019, Volume: 29 Issue: 4, 300 - 304, 31.12.2019
https://doi.org/10.32710/tekstilvekonfeksiyon.452918

Abstract


Sewing is a critical operation in garment production process. Therefore, alternative sewing machines must carefully be evaluated prior to procurement. Multiple criteria decision making (MCDM) techniques can effectively be used in sewing machine evaluation process since multiple evaluation criteria including speed and price must be considered. However, physically meaningless subjective weights are assigned to evaluation criteria in most MCDM techniques. Linear Physical Programming (LPP) is a MCDM methodology that eliminates this subjective weight assignment process by allowing decision makers to express their preferences in a physically meaningful way. In this study, a sewing machine selection problem faced by a textile company is solved using LPP.


References

  • 1. Silva LF, Lima M, Carvalho H, Rocha AM, Ferreira FN, Monteiro JL, Couto C. 2003. Actuation, monitoring and closed-loop control of sewing machine presser foot. Transactions of the Institute of Measurement and Control 25 (5), 419-432.
  • 2. Syduzzaman M, Golder AS, 2015. Apparel analysis for layout planning in sewing section. International Journal of Current Engineering and Technology 5 (3), 1736-1742.
  • 3. Ertuğrul I, Öztaş T. 2015. The application of sewing machine selection with the multi-objective optimızation on the basis of ratio analysis method (moora) in apparel sector. Tekstil ve Konfeksiyon 25 (1), 80-85.
  • 4. Ulutaş A. 2017. Sewing machine selection for a textile workshop by using edas method. Journal of Business Research-Türk 9 (2), 169-183.
  • 5. Messac A, Gupta S, Akbulut B. 1996. Linear physical programming: a new approach to multiple objective optimization. Transactions on Operational Research 8 (2), 39-59.
  • 6. Ilgin MA, Gupta SM, 2012. Physical programming: A review of the state of the art". Studies in Informatics and Control 21 (4), 349-366.
  • 7. Messac A. 2015. Optimization in practice with matlab: for engineering students and professionals. Cambridge University Press, New York.
  • 8. Ilgin MA, Gupta SM. 2012. Remanufacturing modeling and analysis. CRC Press, Boca Raton.
  • 9. Gulsun B, Tuzkaya G, Tuzkaya UR, Onut S. 2009. An aggregate production planning strategy selection methodology based on linear physical programming. International Journal of Industrial Engineering 16 (2), 135-146.
  • 10. Pochampally KK, Gupta SM. 2012. Use of linear physical programming and bayesian updating for design issues in reverse logistics. International Journal of Production Research 50 (5), 1349-1359.
  • 11. Ilgin MA. 2017. Integrating linear physical programming and fuzzy logic for robot selection. International Journal of Robotics Applications and Technologies 5 (2), 1-17.
There are 11 citations in total.

Details

Primary Language English
Subjects Wearable Materials
Journal Section Articles
Authors

Mehmet Ali Ilgın 0000-0003-1765-2470

Publication Date December 31, 2019
Submission Date August 13, 2018
Acceptance Date November 26, 2019
Published in Issue Year 2019 Volume: 29 Issue: 4

Cite

APA Ilgın, M. A. (2019). SEWING MACHINE SELECTION USING LINEAR PHYSICAL PROGRAMMING. Textile and Apparel, 29(4), 300-304. https://doi.org/10.32710/tekstilvekonfeksiyon.452918

No part of this journal may be reproduced, stored, transmitted or disseminated in any forms or by any means without prior written permission of the Editorial Board. The views and opinions expressed here in the articles are those of the authors and are not the views of Tekstil ve Konfeksiyon and Textile and Apparel Research-Application Center.