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Evaluating relationship amongst soluble solids content and twist in soft drinks for modelling technical variability and system reengineering

Author

Listed:
  • Kottala Sri Yogi
  • Atul Kumar Sahu
  • Sanju Kumar Nishad
  • Ch. Shankar

Abstract

Soft drinks are extensively used by the concerns at the marketplace all over the globe and are usually documented as the key sources of dietary energy. Accordingly, in the present study, modelling of soft drink is presented and empirical practices are carried out using an experimental design, i.e., central composite inscribed (CCI) design and response surface methodology (RSM) by the authors. The factors considered in CCI design were gas volume, BRIX, torque and net content. In this study, mathematical models are produced using experimental datasets, and analysis of variance (ANOVA) was used to assess the fit of the models. The findings conclude that there is a statistically significant relationship between soluble solids content and twist. In this study, the statistical approach is used and the coefficient of response variable across various soft drink brands is evaluated to report managerial facts. The study indicates that the correlations between variables might differ amongst various brands.

Suggested Citation

  • Kottala Sri Yogi & Atul Kumar Sahu & Sanju Kumar Nishad & Ch. Shankar, 2025. "Evaluating relationship amongst soluble solids content and twist in soft drinks for modelling technical variability and system reengineering," International Journal of Applied Systemic Studies, Inderscience Enterprises Ltd, vol. 12(1), pages 50-72.
    • Handle: RePEc:ids:ijassi:v:12:y:2025:i:1:p:50-72
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