In real life, decision-making problems are not fixed, and by the time some modifications to the initial problem may be required. TOPSIS technique has been commonly used to solve decision-making problems. This technique is based on the comparison between all the alternatives included in the problem. Thus, if one alternative is removed or added, depending on the situation, the whole process for TOPSIS should be redone, which is laborious and time-consuming. The integration of design of experiment (DOE) and TOPSIS allows easily determine the score for each alternative independently, without any comparison. This gives more degree of freedom to the users, even though the accuracy is compromised. In this work both techniques were applied to a simple case-study. Results showed that using a polynomial regression model with 84.53% reliability, the rankings from DOE-TOPSIS and normal TOPSIS are the same. This proposed technique can be highly useful in large scale decision-making problems as often found in aeronautic and automotive industries.
