Search Results - subject:"CONTROL CHARTS"

Generalised Fermatean fuzzy numbers-based exponentially weighted moving average control chart

Kumar, Rajiv; Kumar, Tanuj; Kumar, Birjesh - In: International journal of productivity and quality … 43 (2024) 4, pp. 526-547

Persistent link: https://www.econbiz.de/10015394256

Quality Management Audit: Problems, Decisions, and Perspectives

Khunuzidi, Elena; Shper, Vladimir; Smelov, Vladimir - In: ENTRENOVA - ENTerprise REsearch InNOVAtion 9 (2023) 1, pp. 366-374

This study addresses the pervasive issue of distrust in audit results, a concern frequently observed in professional practice and corroborated by existing literature. The immediate objective of this research is to identify the underlying causes of this distrust and to propose practical...

Persistent link: https://www.econbiz.de/10015052774

Quality management audit : problems, decisions, and perspectives

Khunuzidi, Elena; Shper, Vladimir; Smelov, Vladimir - In: Proceedings of the ENTRENOVA - ENTerprise REsearch … 9 (2023) 1, pp. 366-374

Persistent link: https://www.econbiz.de/10015052858

Control chart based on residues: Is a good methodology to detect outliers?

Guarnieri, Jean Paulo; de Souza, Adriano Mendonça; … - In: Journal of Industrial Engineering International 15 (2019) S1, pp. 119-130

the efficiency of control charts for individual observations (CCIO) and exponentially weighted moving average (EWMA … fitted, and the residuals were evaluated by CCIO and EWMA control charts; the points correctly detected as an autocorrelation … showed no significant (p > 0.05) for either AR(1) or MA(1) charts and models. In this context, control charts …

Persistent link: https://www.econbiz.de/10013470823

Control chart based on residues : is a good methodology to detect outliers?

Guarnieri, Jean Paulo; Souza, Adriano Mendonça de; … - In: Journal of industrial engineering international 15 (2019), pp. 119-130

the efficiency of control charts for individual observations (CCIO) and exponentially weighted moving average (EWMA … fitted, and the residuals were evaluated by CCIO and EWMA control charts; the points correctly detected as an autocorrelation … significant (p > 0.05) for either AR(1) or MA(1) charts and models. In this context, control charts for individual observations …

Persistent link: https://www.econbiz.de/10012164581

Control charts for measurement error models

Golosnoy, Vasyl; Hildebrandt, Benno; Köhler, Steffen; … - In: AStA Advances in Statistical Analysis 107 (2022) 4, pp. 693-712

purpose, we elaborate on both cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts and … relevance to provide instruments for online monitoring in order to detect its possible changes. In this paper we develop control … charts for online detection of such changes, i.e., from AR(1) to ARMA(1,1) and vice versa, as soon as they occur. For this …

Persistent link: https://www.econbiz.de/10015165616

Online network monitoring

Malinovskaya, Anna; Otto, Philipp - In: Statistical Methods & Applications 30 (2021) 5, pp. 1337-1364

multivariate control charts based on exponential smoothing and cumulative sums in order to monitor networks generated by temporal …

Persistent link: https://www.econbiz.de/10014497519

Identifying deposits' outflows in real-time

Rainone, Edoardo - 2021

Persistent link: https://www.econbiz.de/10012612933

Process capability improvement through DMAIC for aluminum alloy wheel machining

Sharma, G. V. S. S.; Rao, P. Srinivasa; Babu, B. Surendra - In: Journal of Industrial Engineering International 14 (2018) 2, pp. 213-226

This paper first enlists the generic problems of alloy wheel machining and subsequently details on the process improvement of the identified critical-to-quality machining characteristic of A356 aluminum alloy wheel machining process. The causal factors are traced using the Ishikawa diagram and...

Persistent link: https://www.econbiz.de/10011995832

Multivariate Birnbaum-Saunders distributions: Modelling and applications

Aykroyd, Robert G.; Leiva, Víctor; Marchant, Carolina - In: Risks 6 (2018) 1, pp. 1-25

diagnostics in material science, spatial data modelling in agricultural engineering and control charts for environmental …

Persistent link: https://www.econbiz.de/10011996581