A Developed Meta-model for Selection of Cotton Fabrics Using Design of Experiments and TOPSIS Method

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Abstract

Selection of cotton fabrics for providing optimal clothing comfort is often considered as a multi-criteria decision making problem consisting of an array of candidate alternatives to be evaluated based of several conflicting properties. In this paper, design of experiments and technique for order preference by similarity to ideal solution (TOPSIS) are integrated so as to develop regression meta-models for identifying the most suitable cotton fabrics with respect to the computed TOPSIS scores. The applicability of the adopted method is demonstrated using two real time examples. These developed models can also identify the statistically significant fabric properties and their interactions affecting the measured TOPSIS scores and final selection decisions. There exists good degree of congruence between the ranking patterns as derived using these meta-models and the existing methods for cotton fabric ranking and subsequent selection.

Keywords

Cotton fabric Selection Design of experiments TOPSIS Meta-model 

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Copyright information

© The Institution of Engineers (India) 2017

Authors and Affiliations

  1. 1.Department of Production EngineeringJadavpur UniversityKolkataIndia
  2. 2.Mechanical Engineering DepartmentMCKV Institute of EngineeringHowrahIndia

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