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Review article: Basic steps in adapting response surface methodology as mathematical modelling for bioprocess optimisation in the food systems
4 references·6 citing·26 second hop
Review article: Basic steps in adapting response surface methodology as mathematical modelling for bioprocess optimisation in the food systems (2010)Review article: Basic steps in adapting r…Response Surface Methodology (2002)Response Surface MethodologyIntroduction to Statistical Quality Control (2001)Introduction to Statistical Q…Response Surface Methodology: 1966-1988 (1989)Response Surface Methodology:…Rotatable designs in product development (1979)Rotatable designs in product …Advancing Optimization Strategies in the Food Industry: From Traditional Approaches to Multi-Objective and Technology-Integrated Solutions (2025)Advancing Optimization Strate…State-of-the-art review on recent advances in polymer engineering: modeling and optimization through response surface methodology approach (2022)State-of-the-art review on re…Application of Response Surface Methodology in Food Process Modeling and Optimization (2021)Application of Response Surfa…An Overview on the Use of Response Surface Methodology to Model and Optimize Extraction Processes in the Food Industry (2021)An Overview on the Use of Res…Experimental Design in Analytical Chemistry—Part I: Theory (2014)Experimental Design in Analyt…The use and importance of design of experiments (DOE) in process modelling in food science and technology (2013)The use and importance of des…Statistics for Experimenters (1979)Simultaneous Optimization of Several Response Variables (1980)Empirical Model Building and Response Surfaces (1988)Designing Environmental Field Studies (1991)Optimization via simulation: A review (1994)Experimental design and response surface methodology in energy applications: A tutorial review (2017)THE DESIGN OF OPTIMUM MULTIFACTORIAL EXPERIMENTS (1946)Box-Behnken design: An alternative for the optimization of analytical methods (2007)Response surface methodology (RSM) as a tool for optimization in analytical chemistry (2008)Design of experiment techniques for the optimization of chromatographic analysis conditions: A review (2022)Response Surface Methodology: Process and Product Optimization Using Designed Experiments (1996)Modeling and optimization I: Usability of response surface methodology (2006)Design of Experiments in Pharmaceutical Development (2019)ASSESSMENT OF DATA COLLECTION TECHNIQUES IN MANUFACTURING AND MECHANICAL ENGINEERING THROUGH MACHINE LEARNING MODELS (2023)Green Lean Six Sigma in the food industry: a systematic literature review (2024)Response Surface Methodology (1996)Experiments - Planning, Analysis and Parameter Design Optimization (2001)Quimiometria II: planilhas eletrônicas para cálculos de planejamentos experimentais, um tutorial (2006)An interactive desirability function method to multiresponse optimization (2008)Stochastic Kriging for Simulation Metamodeling (2009)Applications of Response Surface Methodology in the Food Industry Processes (2017)Accelerating New Food Product Design and Development (2007)On the Monitoring of Linear Profiles (2003)The role of measurement reliability in clinical trials (2004)An overview of theory and practice on process capability indices for quality assurance (2008)A Study of the Response Surface Methodology Model with Regression Analysis in Three Fields of Engineering (2025)
this work references cited by second hop

References

  • 2002Response Surface Methodology890 cited
  • 2001Introduction to Statistical Quality Control770 cited
  • 1989Response Surface Methodology: 1966-1988594 cited
  • 1979Rotatable designs in product development90 cited

Cited by

  • 2013The use and importance of design of experiments (DOE) in process modelling in food science and technology101 cited
  • 2014Experimental Design in Analytical Chemistry—Part I: Theory93 cited
  • 2022State-of-the-art review on recent advances in polymer engineering: modeling and optimization through response surface methodology approach68 cited
  • 2021Application of Response Surface Methodology in Food Process Modeling and Optimization42 cited
  • 2021An Overview on the Use of Response Surface Methodology to Model and Optimize Extraction Processes in the Food Industry41 cited
  • 2025Advancing Optimization Strategies in the Food Industry: From Traditional Approaches to Multi-Objective and Technology-Integrated Solutions40 cited

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