An Easy Analysis Method for Operating Window Experimental Data

An easy-to-implement method is proposed to analyze data on operating window and applied to four case studies. Operating window factor is a physical quantity of energy transfer that is critical to system performance. Operating window(OW) is a range of OW factor values in which failure does not occur. A non-parametric method to determine OW threshold values of lower and upper limits is presented. OW threshold data are analyzed, important factors are determined by elbow method, and optimal factor level combinations are set. Engineers working on product development and process improvement are expected to benefit from this paper when they can find an OW factor of energy transfer which is related to system performance.

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Publication Details

Journal
Journal of Korean Institute of Industrial Engineers
Published
2025-06-15
DOI
https://doi.org/10.7232/jkiie.2025.51.3.252
Primary Topic
Optimal Experimental Design Methods
Type
article
Field-Weighted Citation Impact
0.00

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article

An Easy Analysis Method for Operating Window Experimental Data

Jai‐Hyun Byun, Hyejin Ju
Journal of Korean Institute of Industrial Engineers
Optimal Experimental Design Methods
article

An Easy Analysis Method for Operating Window Experimental Data

Jai‐Hyun Byun, Hyejin Ju
article en

Abstract

An easy-to-implement method is proposed to analyze data on operating window and applied to four case studies. Operating window factor is a physical quantity of energy transfer that is critical to system performance. Operating window(OW) is a range of OW factor values in which failure does not occur. A non-parametric method to determine OW threshold values of lower and upper limits is presented. OW threshold data are analyzed, important factors are determined by elbow method, and optimal factor level combinations are set. Engineers working on product development and process improvement are expected to benefit from this paper when they can find an OW factor of energy transfer which is related to system performance.

Journal of Korean Institute of Industrial EngineersVol. 51(3)
Gyeongsang National University, Ministry of Trade, Industry and Energy, Korea Institute of Energy Technology Evaluation and Planning
Openalex Percentile: Top 75%
Optimal Experimental Design Methods
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