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Design and analysis of mixture experiments with process variable

Author

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  • Upendra Kumar Pradhan
  • Krishan Lal
  • Sukanta Dash
  • K. N. Singh

Abstract

A mixture experiment is an experiment in which the response is assumed to depend on the relative proportions of the ingredients present in the mixture and not on the total amount of the mixture. In such experiment process, variables do not form any portion of the mixture but the levels changed could affect the blending properties of the ingredients. Sometimes, the mixture experiments are costly and the experiments are to be conducted in less number of runs. Here, a general method for construction of efficient mixture experiments in a minimum number of runs by the method for projection of efficient response surface design onto the constrained region is obtained. The efficient designs with a less number of runs have been constructed for 3rd, 4th, and 5th component of mixture experiments with one process variable.

Suggested Citation

  • Upendra Kumar Pradhan & Krishan Lal & Sukanta Dash & K. N. Singh, 2017. "Design and analysis of mixture experiments with process variable," Communications in Statistics - Theory and Methods, Taylor & Francis Journals, vol. 46(1), pages 259-270, January.
    • Handle: RePEc:taf:lstaxx:v:46:y:2017:i:1:p:259-270
    DOI: 10.1080/03610926.2014.990104
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    Cited by:

    1. Kumar, Sandeep & Singhal, Mukesh Kumar & Sharma, Mahendra P., 2023. "Analysis of oil mixing for improvement of biodiesel quality with the application of mixture design method," Renewable Energy, Elsevier, vol. 202(C), pages 809-821.
    2. Chakraborty, Sourabh & Dunford, Nurhan Turgut & Goad, Carla, 2021. "A kinetic study of microalgae, municipal sludge and cedar wood co-pyrolysis," Renewable Energy, Elsevier, vol. 165(P1), pages 514-524.

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