Results 31 to 40 of about 17,058 (192)

Statistical Monitoring and Optimization of Electrochemical Machining using Shewhart Charts and Response Surface Methodology

International Journal of Engineering Materials and Manufacture, 2018
The response surface methodology (RSM) and Shewhart control charts have been widely used in manufacturing to reduce variation, improve quality and optimize the output.
Ahmed Maged, Salah Haridy, Mohammad Shamsuzzaman, Imad Alsyouf, Roubi Zaied   +4 more
doaj   +1 more source

A CNN Approach for Simultaneous Spatiotemporal Fault Interpretation

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Convolutional Neural Networks (CNNs) have emerged as one of the most effective tools for image analysis. In this study, we propose a custom‐designed CNN architecture to construct a process control scheme based on image data. The product image is partitioned into equal‐sized grids, each comprising three channels: (i) reference image, (ii ...
Hamed Sabahno
wiley   +1 more source

A simple approach for monitoring business service time variation. [PDF]

, 2014
Control charts are effective tools for signal detection in both manufacturing processes and service processes. Much of the data in service industries comes from processes having nonnormal or unknown distributions.
Arnold, Barry C, Yang, Su-Fen
core   +3 more sources

Phase I Multivariate Coefficient of Variation Control Charts for High‐Dimensional Processes

Quality and Reliability Engineering International, EarlyView.
ABSTRACT Multivariate control charts have traditionally focused on monitoring the process mean vector and/or covariance matrix. Recent studies have extended this framework to Phase II monitoring of the multivariate coefficient of variation (MCV); yet very limited work has examined MCV‐based monitoring in Phase I.
O. A. Oyegoke, K. S. Adekeye, J.‐C. Malela‐Majika   +2 more
wiley   +1 more source

Novel combined Shewhart-CUmulative EWMA-SUM mean charts without- and with measurement error

Measurement + Control
The precision of process monitoring often encounters challenges in determining the exact shift size. Therefore, combined control charts have gained considerable attention because of their excellent speed to detect simultaneously small-to-moderate and ...
Tahir Munir, Fahad M. Alqahtani, Afaf Alrashidi, Abdu R Rahman, Salman Arif Cheema, Yi Li   +5 more
doaj   +1 more source

The Culture Clash of AI Adoption in Lean Quality Management. Resolving the Tensions at Siemens Electronics Works Amberg

Information Systems Journal, Volume 36, Issue 3, Page 315-339, May 2026.
ABSTRACT Artificial intelligence (AI) brings great potential for manufacturers, but clashes with the established culture due to the unexplainable and opaque nature of the solutions it provides. Having little experience in AI and machine learning (ML), most manufacturing leaders experience barriers implementing AI.
Benjamin van Giffen, Gunter Beitinger, Helmuth Ludwig, Bill Schiano, Konstantin Schmidt, Jan vom Brocke   +5 more
wiley   +1 more source

Online Jump and Kink Detection in Segmented Linear Regression: Statistical Optimality Meets Computational Efficiency

Journal of Time Series Analysis, Volume 47, Issue 3, Page 727-748, May 2026.
ABSTRACT We consider the problem of sequential (online) estimation of a single change point in a piecewise linear regression model under a Gaussian setup. We demonstrate that certain CUSUM‐type statistics attain the minimax optimal rates for localizing the change point.
Annika Hüselitz, Housen Li, Axel Munk
wiley   +1 more source

GIDA SEKTÖRÜNDE İSTATİSTİKSEL KALİTE KONTROL GRAFİKLERİNİN BİR UYGULAMASI

Sosyal Ekonomik Araştırmalar Dergisi, 2009
Kalite kontrol grafikleri süreç kontrolü ve iyileştirilmesinde önemli bir yere sahiptir. İşletmelerdeki ürünlerin kalite düzeylerinin araştırılması ve kalite değişimlerinin belirlenmesi için istatistiksel kalite kontrol (İKK) tekniklerinden ...
Aytaç Pekmezci̇
doaj   +4 more sources

Shewhart methodology for modelling financial series : a thesis presented in partial fulfilment of the requirements for the degree of Doctor of Philosophy in Statistics at Massey University, Palmerston North, New Zealand [PDF]

, 2017
Quality management techniques are widely used in industrial applications for monitoring observable process variation. Among them, the scientific notion of Shewhart principles is vital for understating variations in any type of process or service.
Premarathna, Liyana Pathiranaralalage Nadeeka Dilrukshi
core  

When Are Statistical Forecast Gains Economically Relevant? Evidence From Bitcoin Returns

Journal of Forecasting, Volume 45, Issue 3, Page 1245-1260, April 2026.
ABSTRACT We study how statistical forecast gains for Bitcoin translate into trading profits. Using real‐time out‐of‐sample forecasts from daily bivariate VARs from October 2021 to February 2024, we show that Bitcoin returns are forecastable and that seven predictive indices yield significant gains in directional accuracy (DA).
Rehan Arain, Stephen Snudden
wiley   +1 more source