Development of predictive models of key performance indicators for hand dish products

There is an imperative need for sustainable formulations in the household cleaning product industry, specifically hand dish detergents. Furthermore, the impending REACH (Registration, Evaluation, Authorization, and Restriction of Chemicals) regulations from the European Union will push towards even more stringent environmental standards. Within such context, this study aims to develop a predictive model for key performance indicators (KPIs) tailored to innovative formulations. The primary objective is to reduce 1-4 dioxane pollution, a critical environmental concern associated with detergent manufacturing, and to ensure compliance with upcoming regulatory requirements. The research methodology integrates a comprehensive literature review, experimental design, and data analysis techniques. First of all, an in-depth exploration of the chemical constituents most contributing to 1,4-dioxane emissions in conventional hand dish detergents, thus laying the foundation for the formulation of innovative alternatives. Subsequently, a systematic approach to data collection and experimentation is employed to generate predictive models of relevant KPIs (Viscosity, Product stability, Performance metrics). While the overall average viscosity of the new products tested was found to be lower than the target and some difficulties were recognized for the low-temperature stability, the performance metrics showed promising results, both for suds mileage and grease cleaning.