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Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization

In: Response Surface Methodology - Research Advances and Applications

Author

Listed:
  • Sheriff Lamidi
  • Nurudeen Olaleye
  • Yakub Bankole
  • Aishat Obalola
  • Emmanuella Aribike
  • Idris Adigun

Abstract

In this review chapter, the authors presented a systematic exposition to the concept of Response Surface Methodology (RSM) for applications by Scientists, Engineers, Technologists and Industries. (RSM) is an empirical model which employs the use of mathematical and statistical techniques in relating input variables otherwise known as factors to the response. RSM became very useful due to the fact that other methods available such as the theoretical model could be very cumbersome to use, time-consuming, inefficient, error prone and unreliable. In order to draw meaningful conclusions and findings, an experiment is required. In an effort to obtain an objective conclusion (between the factors and the response), an experimenter needs to plan and design the experiments, and analyze the results. An approximation of the response in relation to the variables is otherwise known as RSM. This chapter reviews RSM concept for easy understanding and adoption by researchers. In section 2.0, the various terminologies used in RSM were defined. In section 3.0, RSM design types were highlighted and RSM research phases exposed in section 4.0. Section 8.0 gave some scenario applications of RSM in various fields and section 9.0 defined the RSM research cycle process. General applications and conclusions stated.

Suggested Citation

  • Sheriff Lamidi & Nurudeen Olaleye & Yakub Bankole & Aishat Obalola & Emmanuella Aribike & Idris Adigun, 2023. "Applications of Response Surface Methodology (RSM) in Product Design, Development, and Process Optimization," Chapters, in: Palanikumar Kayaroganam (ed.), Response Surface Methodology - Research Advances and Applications, IntechOpen.
  • Handle: RePEc:ito:pchaps:276681
    DOI: 10.5772/intechopen.106763
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    More about this item

    Keywords

    response surface methodology; RSM design; optimization; RSM applications; product design;
    All these keywords.

    JEL classification:

    • C60 - Mathematical and Quantitative Methods - - Mathematical Methods; Programming Models; Mathematical and Simulation Modeling - - - General

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