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Solving dynamic systems with multi-responses by integrating desirability function and data envelopment analysis

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Abstract

Today’s complexity of product design requires improving multiple quality characteristics. This research proposes an approach that integrates the desirability function and data envelopment analysis to enhance process performance with dynamic multi-responses. Firstly, the desirability function is employed. Then, data envelopment analysis is used to obtain the best settings of controllable factor levels that make the effect of noise factors as small as possible. Three case studies are utilized to demonstrate the effectiveness of the proposed approach, in all of which the proposed approach is found an effective procedure in reducing the effect of noise factors, does not need huge data for the analysis or any subjective information and human judgment, and can be used regardless of linearity or nonlinearity relationship between the signal factor and responses. Such advantages should provide great assistance to product engineers in improving performance of dynamic systems with multiple responses.

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Authors and Affiliations

  1. Department of Industrial Engineering, University of Jordan, Amman, 11942, Jordan

    Abbas Al-Refaie & Wafa’a Al-Alaween

  2. Department of Engineering Systems and Management, Masdar Institute of Science and Technology, Abu Dhabi, United Arab Emirates

    Ali Diabat

  3. Department of Industrial Engineering and Systems Management, Feng Chia University, Taichung, Taiwan

    Ming-Hsien Li

Authors
  1. Abbas Al-Refaie
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  2. Wafa’a Al-Alaween
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  3. Ali Diabat
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  4. Ming-Hsien Li
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Correspondence to Abbas Al-Refaie.

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Al-Refaie, A., Al-Alaween, W., Diabat, A. et al. Solving dynamic systems with multi-responses by integrating desirability function and data envelopment analysis. J Intell Manuf 28, 387–403 (2017). https://doi.org/10.1007/s10845-014-0986-4

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  • DOI: https://doi.org/10.1007/s10845-014-0986-4

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