Repeatability and reproducibility study of thin film optical measurement system

Kuo, Chil-Chyuan; Huang, Po-Jenh

doi:10.1016/j.ijleo.2012.10.015

Cited by 9 publications

(3 citation statements)

References 13 publications

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“…Therefore, measurement variations should be revealed and differentiated from process variations (Montgomery, 2007). The relevant formulation is as follows (Besterfield, 2004;Hajipour et al, 2013;Kuo and Huang, 2013).…”

Section: Methodology: Msa and Gage Controlmentioning

confidence: 99%

Quality Assurance for Operating Room Illumination through Lean Six Sigma

Öztürkoğlu

Kazançoğlu

Sağnak

et al. 2021

Int J Math, Eng, Manag Sci

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Since every mistake made in the healthcare industry can cause permanent harm or even death, some fundamental requirements should be considered when planning and designing operating rooms. Lighting is one of the most important ergonomic factors, especially for operating rooms. This paper investigates the integration of the lean approach and six sigma in measuring the efficiency of LED technology, which can also be regarded as a factor affecting the operating room efficiency. Measurement System Analysis (MSA) and Gage Control methods were applied to determine measurement variability in operating room illumination measurement process. Repeatability and reproducibility (%R&R) was found 12.89%. After calibration, %R&R value was found 8.21%, which implies that calibration helped reduce variability.

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Section: Methodology: Msa and Gage Controlmentioning

confidence: 99%

Quality Assurance for Operating Room Illumination through Lean Six Sigma

Öztürkoğlu

Kazançoğlu

Sağnak

et al. 2021

Int J Math, Eng, Manag Sci

View full text Add to dashboard Cite

show abstract

“…This statement is also proved in detailed review of recently published scientific works. For example, Kuo and Huang [7] present the application of the R&R method for examination of the developed optical measurement system for measurement of thin film surface and their exploration proves its effectiveness. Baleani et al discuss the importance of the R&R analysis at evaluation of the production line for cars assembly [8].…”

Section: Figure 1 the Constructed Bibliometric Mapmentioning

confidence: 99%

Statistical and machine learning approach for evaluation of control systems for automatic production lines

Tsenev

Ivanova

2022

Bulletin EEI

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The manufacturing processes and the control systems for automatic production lines mainly are evaluated through usage of statistical methods as recently machine learning algorithms are also used. The aim of the paper is to present an approach for control measurement systems evaluation, based on a combination of statistical techniques like attribute repeatability and reproducibility analysis, measurement system analysis and supervised machine learning algorithms like random forest and KNN. The proposed method is verified in the production of the G8680x connector, which is used in the automotive industry. The control is performed 100% for all manufactured parts immediately after the “injection molding” process. It is proved that taking advantages of the statistics and machine learning, the manufacturing process and control measurement systems could be evaluated with very high accuracy. The exploration and analysis leads to the formulation of some recommendations in support of process engineers and managers.

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“…Indeed, GR&R studies are widely used in measurement system analysis. They can be found in different fields such as industry [1,2], pharmaceutical applications [3], healthcare [4][5][6], microcontrollers [7] veterinary science [8], environment [9], optics [10] and many others.…”

Section: Introductionmentioning

confidence: 99%