Capability Process to Optimize Specification by Impact of Wavelet Analysis

Authors

DOI:

https://doi.org/10.24086/cuejhss.v9n1y2025.pp53-60

Keywords:

Quality control, capability process, wavelet process, specification, control charts

Abstract

This study investigates the impact of wavelet analysis on optimizing specification in the capability process. A new approach called the New Hybrid Capability Wavelet Approach (NHCWA) is proposed, which utilizes wavelet analysis to filter noise and outliers in the data. The study compares the NHCWA with the classical capability process using a dataset from a cake factory. The Coiflet 4 wavelet family and soft thresholding are employed to denoise the data. The results demonstrate that the NHCWA significantly improves the capability indices, achieving a 50% increase in Cp and a 30% increase in Cpk compared to the classical approach. Additionally, the NHCWA reduces the standard deviation of the process by 20%. These findings highlight the potential of wavelet analysis in enhancing the accuracy and effectiveness of capability analysis, leading to improved quality control in manufacturing processes.

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Author Biographies

Hogr M. Qader, Statistics and Information Paytakht Technical Institute- private, Erbil, Iraq

Hogr M. Qader is a lecturer at Statistics and Information Paytakht Technical Institute- private, Erbil, Iraq. His research interest is statistics.

Hawkar Q. Birdawod, Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq

Hawkar Q. Birdawod is the head of Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq. His research interests are Statistics, Computer science, and Business.

Hevi M. Qader, Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq

Hevi M. Qader is an assistant lecturer at the Department of Business Administration, Cihan University-Erbil, Kurdistan Region, Iraq. Her research interests are Business Management and Accounting

Bekhal S. Sedeeq, Department of Statistics and Informatics, College of Administration and Economics, University of Salahaddin-Erbil, Iraq

Bekhal S. Seddeq is a professor of statistics at the College of Administration & Economics Statistics, Salahddin University, Kurdistan Region, Iraq. Her research interests are Differential Equations and Decisions theory.

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Published

2025-01-20

How to Cite

Qader, H. M., Birdawod, H. Q., Qader, H. M., & Sedeeq, B. S. (2025). Capability Process to Optimize Specification by Impact of Wavelet Analysis. Cihan University-Erbil Journal of Humanities and Social Sciences, 9(1), 53–60. https://doi.org/10.24086/cuejhss.v9n1y2025.pp53-60

Issue

Vol. 9 No. 1 (2025)

Section

Articles

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Received 2024-06-28
Accepted 2024-11-08
Published 2025-01-20

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