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Applications of Data Envelopment Analysis in Textile Sector

Year 2018, Volume: 2 Issue: 2, 72 - 75, 05.12.2018

Abstract

Interest in Data
Envelopment Analysis (DEA) has grown in recent years. This is not surprising
since DEA can be used to explore efficiency in organizations whose outputs and
inputs cannot be reduce to monetary terms. In a relatively short period of time Data Envelopment
Analysis (DEA) has grown into a powerful quantitative, analytical tool for
measuring and evaluating performance. DEA has been successfully applied to a
host of different types of entities engaged in a wide variety of activities in
many contexts worldwide.



For this reason, the textile and garment sector
should operate efficiently and increase its productivity. DEA also has
different applications in the textile sector. In this study, DEA usage examples
and details are given in textile and garment sector. DEA was introduced first,
and then the commonly used models and steps of applying these models were
explained. Finally, the scope of applications in textile and apparel sector
will be examined in detail.

References

  • [1] O. Öztürk and N. Girginer, “The export efficiency of Turkish textile and apparel firms: an investigation employing data envelopment analysis (dea) and analytic hierarchy process (ahp) methods”, Tekstil ve Konfeksiyon, vol. 25 (1), pp.10-23, 2015.
  • [2] F. Yenilmez and N. Girginer, “Assessing export performance of textile companies in Eskişehir organized industrial zone by use of data envelopment analysis (dea)”, Tekstil ve Konfeksiyon, vol. 22 (1), pp.12-17, 2012.
  • [3] J. Zhu and Y. Chen, “Assessing textile factory performance”, Journal of Systems Science and Systems Engineering vol. 2, pp. 119-133, 1993
  • [4] J. Zhu, “DEA/AR analysis of the 1988-1989 performance of the Nanjing textile corporation”, Annals of Operations Research, vol. 66, pp. 311 – 335, 1996
  • [5] P.Chandra, W.W. Cooper, S. Li, A. Rahman, “Using DEA to evaluate 29 Canadian textile companies-considering returns to scale”, International Journal of Production Economics, vol.54, pp.129-141, 1998
  • [6] W.W. Cooper, S. Kumbhakar, R.M. Thrall, and X Yu, “DEA and stochastic frontier analyses of the 1978 Chinese economic reforms”, Socio-Economic Planning Science, vol. 29(2), pp.85-112, 1995.
  • [7] N. Jatuphatwarodom, D.F. Jones, D., Ouelhadj, “A mixed-model multi-objective analysis of strategic suppy chain decision support in the Thai silk industry”, Annals of Operations Research, vol. 265, pp.1-27, 2018.
  • [8] H. Zhao, Z. Lu, T. Yu and Y. Yin, “An evaluation model for sustainable development of China’s textile industry: an empirical study”, Journal of Physics: Conference Series, vol. 989, pp. 1-9, 2018
  • [9] V. Baskaran, S. Nachiappan, S. Rahman, “Indian textile suppliers’ sustainability evaluation using the grey approach”, International Journal of Production Economics, vol. 135, pp. 647-658, 2012
  • [10] M. J. S. Noveiri, S. Kordrostami, J. Wu and A. Amirteimoori, “Supply chain performance with undesirable factors and reverse flows: a DEA-based approach, Journal of the Operational Research Society, vol70, pp.1-11, 2018
  • [11] Cooper, W. W., H. Deng, B. Gu, S. Li, and R. M. Thral, “Using DEA to improve the management of congestion in Chinese industries (1981-1997)” Socio-Economic Planning Sciences vol. 35, pp.227–242, 2001
  • [12] A. T. Flegg, D. O. Allen, “Congestion in the Chinese automobile and textile industries revisited”, Socio-Economic Planning Sciences, vol. 43, pp.177-191, 2009.
  • [13] G. Aras, “Efficiency and risk analysis of the Turkish textile and clothing industry using data envelopment analysis”, Journal of Global Business and Technology, vol.2 (2), pp.65-73, 2006.
  • [14] C. Sarıcam and A. Erdümlü, “Evaluation efficiency levels comparatively: data envelopement analysis application for Turkish textile and apparel industry”, Journal Industrial Engineering and Management, vol.5, pp.518-531, 2013.
  • [15] R. G. Saeidi, G. R. Amin, S. Raissi, S. Gattoufi, “An efficient DEA method for ranking woven fabic defects in textile manufacturing”, Internatinal Journal of Advance Tecnologies, vol.68, pp.349-354, 2013.
  • [16] E. Bhaskaran, “The productivity and technical efficiency of textile industry clusters in India”, Journal of The Institution of Engineers (India) Series C, vol. 94 (3), pp.245-251, 2013,
  • [17] K. Fang, X. Hong, S. Li, M. Song and J. Zhang, “Choosing competitive industries in manufacturing of China under low-carbon economy, a three-stage DEA analysis”, International Journal of Climate Change Strategies and Management, vol. 5(4), pp. 431-444, 2013
  • [18] A.A. Illeez, “Development of appropriate production methods for clothing production”, PhD Thesis in Textile Engineering of Ege University, İzmir, 2014
Year 2018, Volume: 2 Issue: 2, 72 - 75, 05.12.2018

Abstract

References

  • [1] O. Öztürk and N. Girginer, “The export efficiency of Turkish textile and apparel firms: an investigation employing data envelopment analysis (dea) and analytic hierarchy process (ahp) methods”, Tekstil ve Konfeksiyon, vol. 25 (1), pp.10-23, 2015.
  • [2] F. Yenilmez and N. Girginer, “Assessing export performance of textile companies in Eskişehir organized industrial zone by use of data envelopment analysis (dea)”, Tekstil ve Konfeksiyon, vol. 22 (1), pp.12-17, 2012.
  • [3] J. Zhu and Y. Chen, “Assessing textile factory performance”, Journal of Systems Science and Systems Engineering vol. 2, pp. 119-133, 1993
  • [4] J. Zhu, “DEA/AR analysis of the 1988-1989 performance of the Nanjing textile corporation”, Annals of Operations Research, vol. 66, pp. 311 – 335, 1996
  • [5] P.Chandra, W.W. Cooper, S. Li, A. Rahman, “Using DEA to evaluate 29 Canadian textile companies-considering returns to scale”, International Journal of Production Economics, vol.54, pp.129-141, 1998
  • [6] W.W. Cooper, S. Kumbhakar, R.M. Thrall, and X Yu, “DEA and stochastic frontier analyses of the 1978 Chinese economic reforms”, Socio-Economic Planning Science, vol. 29(2), pp.85-112, 1995.
  • [7] N. Jatuphatwarodom, D.F. Jones, D., Ouelhadj, “A mixed-model multi-objective analysis of strategic suppy chain decision support in the Thai silk industry”, Annals of Operations Research, vol. 265, pp.1-27, 2018.
  • [8] H. Zhao, Z. Lu, T. Yu and Y. Yin, “An evaluation model for sustainable development of China’s textile industry: an empirical study”, Journal of Physics: Conference Series, vol. 989, pp. 1-9, 2018
  • [9] V. Baskaran, S. Nachiappan, S. Rahman, “Indian textile suppliers’ sustainability evaluation using the grey approach”, International Journal of Production Economics, vol. 135, pp. 647-658, 2012
  • [10] M. J. S. Noveiri, S. Kordrostami, J. Wu and A. Amirteimoori, “Supply chain performance with undesirable factors and reverse flows: a DEA-based approach, Journal of the Operational Research Society, vol70, pp.1-11, 2018
  • [11] Cooper, W. W., H. Deng, B. Gu, S. Li, and R. M. Thral, “Using DEA to improve the management of congestion in Chinese industries (1981-1997)” Socio-Economic Planning Sciences vol. 35, pp.227–242, 2001
  • [12] A. T. Flegg, D. O. Allen, “Congestion in the Chinese automobile and textile industries revisited”, Socio-Economic Planning Sciences, vol. 43, pp.177-191, 2009.
  • [13] G. Aras, “Efficiency and risk analysis of the Turkish textile and clothing industry using data envelopment analysis”, Journal of Global Business and Technology, vol.2 (2), pp.65-73, 2006.
  • [14] C. Sarıcam and A. Erdümlü, “Evaluation efficiency levels comparatively: data envelopement analysis application for Turkish textile and apparel industry”, Journal Industrial Engineering and Management, vol.5, pp.518-531, 2013.
  • [15] R. G. Saeidi, G. R. Amin, S. Raissi, S. Gattoufi, “An efficient DEA method for ranking woven fabic defects in textile manufacturing”, Internatinal Journal of Advance Tecnologies, vol.68, pp.349-354, 2013.
  • [16] E. Bhaskaran, “The productivity and technical efficiency of textile industry clusters in India”, Journal of The Institution of Engineers (India) Series C, vol. 94 (3), pp.245-251, 2013,
  • [17] K. Fang, X. Hong, S. Li, M. Song and J. Zhang, “Choosing competitive industries in manufacturing of China under low-carbon economy, a three-stage DEA analysis”, International Journal of Climate Change Strategies and Management, vol. 5(4), pp. 431-444, 2013
  • [18] A.A. Illeez, “Development of appropriate production methods for clothing production”, PhD Thesis in Textile Engineering of Ege University, İzmir, 2014
There are 18 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Alime Aslı İlleez

Mücella Güner

Publication Date December 5, 2018
Submission Date July 24, 2018
Published in Issue Year 2018 Volume: 2 Issue: 2

Cite

IEEE A. A. İlleez and M. Güner, “Applications of Data Envelopment Analysis in Textile Sector”, IJMSIT, vol. 2, no. 2, pp. 72–75, 2018.