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Selection of raw materials in textile spinning industry using fuzzy multi-criteria decision making approach

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Abstract

Selection of raw materials in textile spinning industry is a multi-criteria decision making problem. It is a decision of strategic importance as textile is a typical high volume but low profit industry. The nature of raw material selection decision, in most of the cases, is very crude and unstructured. Therefore, advanced decision science techniques might be useful for solving such kind of intricate problems. The inability of common decision making methods to handle imprecision and uncertainty, make them inapt in situations which involves fuzzy information. However, fuzzy decision making techniques can elicit reasonable and logical solutions in these situations. This paper presents the use of fuzzy Analytic Hierarchy Process (AHP) to select the raw materials (cotton fibres) for the textile spinning industries. The results indicate that the fuzzy AHP can quantitatively translate the imprecise perception of the decision maker and yield better results than some of the traditional raw material selection methods used in the textile industry.

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References

  1. T. L. Saaty, “The Analytic Hierarchy Process”, McGraw-Hill, New York, 1980.

    Google Scholar 

  2. T. L. Saaty, IEEE Trans. Eng. Manag., 30, 140 (1983).

    Google Scholar 

  3. P. J. M. Laarhoven and W. Pedrycz, Fuzzy Sets & Systems, 11, 229 (1983).

    Article  Google Scholar 

  4. E. Triantaphyllou and C. T. Lin, Int. J. App. Rea., 14, 281 (1996).

    Article  Google Scholar 

  5. C. Kahraman, U. Cebeci, and Z. Ulkan, Logistics Information & Management, 16, 382 (2003).

    Article  Google Scholar 

  6. K. K. Pochampally, S. M. Gupta, and P. Kalvala, “Proceedings of the International Conference on CAD/CAM, Robotics and Autonomous Factories (CD ROM)”, New Delhi, 2003.

  7. K. K. Pochampally, S. M. Gupta, and S. V. Kamarthi, Proc. SPIE, 5262 (2004).

  8. J. K. Cochran and H. N. Chen, Comput. Oper. Res., 32, 153 (2005).

    Article  Google Scholar 

  9. J. Wang and H. Y. Lin, Int. J. Prod. Res., 44, 2047 (2006).

    Article  Google Scholar 

  10. F. Dweiri and F. A. Meier, Int. J. Prod. Res., 34, 3207 (1996).

    Article  Google Scholar 

  11. R. K. Singh, Int. J. Prod. Res., 45, 3165 (2007).

    Article  Google Scholar 

  12. F. T. S. Chan, N. Kumar, M. K. Tiwari, H. C. W. Lau, and K. L. Choy, Int. J. Prod. Res., 46, 3825 (2007).

    Article  Google Scholar 

  13. Nagahanumaiah, B. Ravi, and N. P. Mukherjee, Int. J. Prod. Res., 45, 1161 (2007).

    Article  Google Scholar 

  14. A. Majumdar, B. Sarkar, and P. Majumdar, Fiber. Polym., 5, 297 (2004).

    Article  Google Scholar 

  15. B. C. Kang, S. W. Park, Y. J. Koo, and S. H. Jeong, Fiber. Polym., 1, 55 (2000).

    Article  Google Scholar 

  16. E. Lord, “Manual of Cotton Spinning: The Characteristics of Raw Cotton”, The Textile Institute, Manchester and London, pp.310–311, 1961.

    Google Scholar 

  17. “Norms for the Spinning Mills”, The South Indian Textile Research Association, pp.1–17, 1995.

  18. H. V. S. Murthy and S. K. Samanta, The Ind. Text. J., 111, 29 (2000).

    Google Scholar 

  19. “Application Handbook of USTER HVI SPECTRUM”, Zellweger Uster, pp.1.1–1.9, 1999.

  20. L. A. Zadeh, Fuzzy Sets, Inf. Cont., 8, 338 (1965).

    Google Scholar 

  21. D. Dubois and H. Prade, Fuzzy Sets and Systems, 2, 327 (1979).

    Article  Google Scholar 

  22. A. Majumdar, Ph.D. Thesis, Jadavpur University, India, 2005.

  23. M. J. Liberatore, R. L. Nydick, and P. M. Sanchez, Interfaces, 22, 92 (1992).

    Article  Google Scholar 

  24. A. Kaufmann and M. M. Gupta, “Fuzzy Mathematical Models in Engineering and Management Science”, Elsevier Science Publishers, Amsterdam, Netherlands, 1988.

    Google Scholar 

  25. W. Chang, “Proceedings of the International Conference of Policy Analysis and Information Systems”, pp.263–272, 1981.

  26. S. J. Chen and C. L. Hwang, “Fuzzy Multi Attribute Decision Making: Methods and Applications”, Springer-Verlag, New York, 1992.

    Google Scholar 

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Correspondence to Abhijit Majumdar.

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Majumdar, A. Selection of raw materials in textile spinning industry using fuzzy multi-criteria decision making approach. Fibers Polym 11, 121–127 (2010). https://doi.org/10.1007/s12221-010-0121-x

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