Multi-response Optimization

Multi-Response Optimization is a methodological framework within Response Surface Methodology that integrates multiple correlated response variables into a single optimization process to identify factor settings achieving simultaneous improvement across all responses.

661

Publications

40.2K

Citations

1.7K

Authors

626

Institutions

Publications per year

2017–2026

330

Authors

1.7K

  1. LT
    Lee‐Ing Tong

    National Yang Ming Chiao Tung University, Taiwan

    10 publications · 1.1K citations

    10

    h-index

  2. ZA
    Zahid A. Khan

    Jamia Millia Islamia, India

    10 publications · 399 citations

    10

    h-index

  3. KK
    Kwang-Jae Kim

    Pohang University of Science and Technology, South Korea

    10 publications · 824 citations

    10

    h-index

  4. MB
    Mahdi Bashiri

    Shahed University, Iran

    9 publications · 192 citations

    9

    h-index

  5. ED
    Enrique Del Castillo

    Pennsylvania State University, United States

    8 publications · 962 citations

    8

    h-index

1–5 of 1.7K

Venues

  1. 30

    h-index

  2. Journal of Quality Technology

    19 publications · 8.3K citations

    18

    h-index

  3. Materials Today Proceedings

    28 publications · 734 citations

    17

    h-index

  4. Quality and Reliability Engineering International

    21 publications · 1.2K citations

    17

    h-index

  5. Materials

    14 publications · 684 citations

    13

    h-index

1–5