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Abdel Daim, H., Hassan, A., Fares, W. (2020). Exploitation of the Statistical Method of Multi-Criteria Decision Making (Mcdm) to Rank Cotton in Estimating Yarn Evenness (Cv%). International Design Journal, 10(1), 413-421. doi: 10.21608/idj.2020.81751
Haitham Abdel Daim; A. Hassan; W. Fares. "Exploitation of the Statistical Method of Multi-Criteria Decision Making (Mcdm) to Rank Cotton in Estimating Yarn Evenness (Cv%)". International Design Journal, 10, 1, 2020, 413-421. doi: 10.21608/idj.2020.81751
Abdel Daim, H., Hassan, A., Fares, W. (2020). 'Exploitation of the Statistical Method of Multi-Criteria Decision Making (Mcdm) to Rank Cotton in Estimating Yarn Evenness (Cv%)', International Design Journal, 10(1), pp. 413-421. doi: 10.21608/idj.2020.81751
Abdel Daim, H., Hassan, A., Fares, W. Exploitation of the Statistical Method of Multi-Criteria Decision Making (Mcdm) to Rank Cotton in Estimating Yarn Evenness (Cv%). International Design Journal, 2020; 10(1): 413-421. doi: 10.21608/idj.2020.81751

Exploitation of the Statistical Method of Multi-Criteria Decision Making (Mcdm) to Rank Cotton in Estimating Yarn Evenness (Cv%)

Article 35, Volume 10, Issue 1, January 2020, Page 413-421  XML PDF (598.57 K)
Document Type: Original Article
DOI: 10.21608/idj.2020.81751
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Authors
Haitham Abdel Daim1; A. Hassan2; W. Fares3
1Spinning, Weave and Knitting Department, Faculty of Applied Arts, Damietta University, Egypt.
2Cotton Research Institute. Agric. Res. Cent., Giza, Egypt
3Central Laboratory for Design and Statistical. Analysis Research, Agric. Res. Cent., Giza, Egypt
Abstract
This investigation employs a Multi-Criteria Decision Making (MCDM) procedure to derive equation used in ranking the cotton materials regarding yarn evenness (CV %) based on three quality criteria of fiber properties being tensile, fineness and length properties. The weight or relative importance of each criterion is decided by Analytic Hierarchy Process (AHP). The study utilized three Egyptian cotton cultivars being Giza 90, Giza 95 and Giza 86 in addition to three imported cotton cultivars namely; Acala, Kemian and Medling from Sudan, China and Greece, respectively following the Long Staple category. Three yarn counts of 24's, 30's and 36's (Ne) with twist multiplier (4) were applied to produce carded ring yarns. The efficiency of the proposed equation was determined by running Spearman rank correlation coefficients between the yarn evenness (CV %) estimated by the proposed formula and actual yarn evenness (CV %) measured at counts 24's, 30's and 36's Ne. Results revealed that the Egyptian local cultivars were superior to the imported cultivars considering all tested fiber properties. According to the equation derived by AHP method, the power values indicated that the fiber strength, upper half mean length, uniformity index and short fiber index plays an important role in determining yarn evenness (CV %) while the fiber fineness and fiber elongation had low influence. It is obvious that Spearman rank correlation coefficient between the actual yarn evenness (CV %) and that calculated by Analytic Hierarchy Process (AHP) were positive and highly significant indicating the validity of the proposed equation to be applied for ranking cotton materials regarding yarn evenness (CV %).
Keywords
Fiber Strength; Tensile Properties; Evenness; Fiber Elongation; (MCDM
References
  1. S. T. M. (1984). Standards on textile, (D-1445 & D-2256). Philadelphia, USA.
  2. S. T. M. (1986). Standards on textile, (D-3818 & D-4605). Philadelphia, USA.
  3. S. T. M. (1998). Standards on textile, (D-3818-79). Philadelphia, USA.
  4. Ahmed, H.S.A.; A.A. Hassan and O.D.M. Nour (2014). Studies on the relative contribution of fiber properties in yarn variation strength in some Egyptian cotton variety and promising. Egypt. J. Appl. Sci., 29 (12 b): 697-708.
  5. Alam, S. and A. Ghosh (2013). Selection of cotton fabrics for optimal comfort properties using Multi-Criteria Decision Making. Journal of Textile and Apparel, Technology and Management. Vol. 8, Issue 3: 1-8.
  6. Banwet, D.K. and A. Majumdar (2014). Comparative analysis of AHP-TOPSIS and GA-TOPSIS methods for selection of raw materials in textile industries. The International Conference on Industrial Engineering and Operations Management. Bali, Indonesia, January 7 – 9, 2071-2080.
  7. Duru, S.C., C. Candan., B. Nergis (2014). a Multicriteria Decision Approach on physical properties of socks made from different fiber types. 47th International Federation Of Knitting Technologists Congress, 23-26 Sept, 2014, İzmir-Turkey.
  8. Fares, W.M., S.K.A. Islam, KH. M.M. Hussein and A.A. Hassan (2010). An application of modern statistical approach to estimate a technological value of same Egyptian cotton Varieties. The 6th Inter. Conf. of Sustain Agric. and Develop. 27-29 December, 43-56.
  9. Gabriel, K.R. (2002). Goodness of fit of biplots and correspondence analysis. Biometrika, 89(2): 423-436.
  10. Hager, M.A and A.A. Hassan (2016). Use of correlation and regression analysis in estimating relative importance of fiber properties affecting yarn hairiness in some Egyptian cotton genotypes. Int. J. adv. Res., 4 (8):1274-1284.
  11. Hager, M.A., A.A. Hassan and W.M. Fares (2011). Some Statistical Relationships Models to Predict Yarn Properties Using Fiber Properties for Two Categories of Egyptian cotton Varieties under Two Spinning Systems. Agric. Res. Jour., Suez Canal Univ., 11(2): 1-6.
  12. Hassan, A.A. and M.A. Hager (2014). Application of different statistical methods to estimate the relative importance of fiber properties toward skein strength of Egyptian cotton under two spinning systems. Middle East J. of Agric. Res., 3 (3): 504-510.
  13. Hussein, Kh. M.; A.A. Hassan and M.M. Kamal (2010). The multiplicative analytic hierarchy process (MIAHP) as a quality criterion determining the technological value of the Egyptian cotton varieties. American Journal of Plant Sciences, Vol. (1): 106-112.
  14. Majumdar, A;B. Sarkarand P.K. Majumdar (2004). Application of Analytic Hierarchy Process for the Selection of Cotton Fibers. Fibers and Polymers, 5(4):297-302.
  15. Majumdar, A; P.K. Majumdar and B. Sarkar (2005). Determination of the technological value of cotton fiber: a comparative study of the traditional and multiple-criteria decision-making approaches. AUTEX Research Journal, 5 (2): 71 – 80.
  16. Minitab 17 Statistical Software (2010). [Computer software]. State College, PA: Minitab, Inc. (www.minitab.com).
  17. Rizk, M.A.M.; A.M. Azab; E.A. Emesbah; A.A. Hassan and M.A.Sh. Yonis (2016). Technological study on some yarn properties of extra-long staple in Egyptian cotton varieties. Al-Azhar. J. Agric. Res., 26: 570-577.
  18. Saaty, T.L. (1980). The Analytic Hierarchy Process. McGraw-Hill International, New York.
  19. Saaty, T.L. (1983). Axiomatic foundation of the Analytic Hierarchy Process.Management Sci., 32 (7): 841-855.
  20. Saaty, T.L., (1990). How to make a decision: The Analytic Hierarchy Process. European J. of Operational Res., 48: 9-26.
  21. Saaty, T.L., (1994). Highlights and critical points in the theory and application of the Analytic Hierarchy Process.European J. of Operational Res., 74: 426-447.
  22. Snedecor, G.W. and W.G. Cochron (1989). Statistical Methods. 8th Ed., Iowa State Univ. Press, Ames Iowa, USA.
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