Search Results - subject:"Statistical Quality Control"

The role of Yamazumi chart in lean standardisation : modelling and analysis using performance loss function

Chan, Chi On; Lau, Henry; Fan, Youqing - In: International journal of productivity and quality … 38 (2023) 4, pp. 435-463

Persistent link: https://www.econbiz.de/10014313564

Deployment of Lean Six Sigma DMAIC methodology to improve productivity of a can manufacturing industry

Shamsuzzaman, Mohammad; AlHerimi, Nadin; Haridy, Salah; … - In: International journal of productivity and quality … 39 (2023) 2, pp. 171-196

Persistent link: https://www.econbiz.de/10014313618

Economic-statistical design of BayesianX control chart based on the predictive distribution

Seirani, Razieh; Torabian, Mohsen; Behzadi, Mohammad Hassan - In: International journal of quality & reliability management 40 (2023) 8, pp. 1925-1939

Persistent link: https://www.econbiz.de/10014332208

Double-objective economic statistical design of (X) control chart using Linex loss function

Aghili, Salimeh Sadat; Torabian, Mohsen; Behzadi, … - In: International journal of quality & reliability management 40 (2023) 8, pp. 1940-1962

Persistent link: https://www.econbiz.de/10014332209

Machine learning-based control charts for monitoring fraction nonconforming product in smart manufacturing

Massulini Acosta, Simone; Sant'Anna, Ângelo Márcio … - In: International journal of quality & reliability management 40 (2023) 3, pp. 727-751

Persistent link: https://www.econbiz.de/10014227482

An integrated Markov chain model for the economic-statistical design of adaptive multivariate control charts and maintenance planning

Taji, Jalal; Farughi, Hiwa; Rasay, Hasan - In: European journal of industrial engineering : EJIE 17 (2023) 1, pp. 1-28

Persistent link: https://www.econbiz.de/10014230351

An unsupervised one-class-classifier support vector machine to simultaneously monitor location and scale of multivariate quality characteristics

Maji, Arijit; Mukherjee, Indrajit - In: International journal of quality & reliability management 40 (2023) 2, pp. 419-454

Persistent link: https://www.econbiz.de/10013535690

Adaptive Shewhart control charts under fuzzy parameters with tuned particle swarm optimization algorithm

Amiri, Amirhossein; Salmasnia, Ali; Zarifi, Meraj; … - In: Journal of industrial integration and management : … 8 (2023) 2, pp. 241-276

Persistent link: https://www.econbiz.de/10014304967

A Note on the Factor Values of Three Common Shewhart Variables Control Charts

Bi, Henry H. - 2019

It is a common practice that people directly use the published factor values in constructing Shewhart variables control charts. Currently, the values of most of the factors are published typically with up to 4 decimal places of precision and from sample size n = 2 through 25; a number of...

Persistent link: https://www.econbiz.de/10012904632

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 purpose of this article is to evaluate the application of forecasting models along with the use of residual control charts to assess production processes whose samples have autocorrelation characteristics. The main objective is to determine the efficiency of control charts for individual...

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