Detrmination of the facial foam sensory attributes optimum value using ordinal logistics regression models

Abstract

Market products have many characteristics to be maintained by the companies to fit the consumers preference. One of important characteristics is sensory aspects. Sensory aspects are built by the five senses from the human body namely sight, sound, taste, touch and smell. However, the problem is the optimum value of each sensory attribute is still unknown. Preference attribute, which is the response variable is usually measured by an ordinal scale. As a result simple linear regression would not be appropriate. One of the alternatives is by using ordinal logistic regression a model that takes rank ordering of the response variables into account. Using one of the ordinal logistic models, the proportional odds model, the optimum value will be obtained by searching the highest individual probability for the "like it" category of preference attribute for each category of performance attribute. The analysis for each of the attribute were treated differently depended on the brand product influence, named panel. If an attribute was influenced by the panel then the optimum value would be obtained for each panel. However, if all panels did not give any significant influences, than the analysis could be done entirely without considering the panels. The result showed that only three sensory attributes were affected by the panels, namely smoothness, thickness of foam during use and ease of rinsing at tributes...