Results 121 to 130 of about 525,484 (302)

Comparing the efficacy of coefficient of variation control charts using generalized multiple dependent state sampling with various run-rule control charts

Scientific Reports
This paper aimed to develop a coefficient of variation (CV) control chart utilizing the generalized multiple dependent state (GMDS) sampling approach for CV monitoring. We conducted a comprehensive examination of this designed control chart in comparison
G. Srinivasa Rao, Muhammad Aslam, Faten S. Alamri, Chi-Hyuck Jun   +3 more
doaj   +1 more source

THE MIXED UNIVARIATE CONTROL CHART EWMA AND CUSUM FOR FLAVOUR PRODUCTION QUALITY PROCESS MONITORING

Jurnal Matematika UNAND
A control chart is an important statistical technique used to monitor the average quality of a process or dispersion. Shewhart control chart is used to detect larger disturbances in process parameters.
Surya Puspita Sari, Maiyastri Maiyastri, Dodi Devianto   +2 more
doaj   +1 more source

Symbolic Regression and Multi‐Objective Optimization of the Flory–Huggins Interaction Parameter for Hydrogels

Advanced Engineering Materials, EarlyView.
We develop a data‐driven method to derive the mathematical expressions of the Flory–Huggins interaction parameter χ for the swelling behavior of temperature–responsive hydrogels. Starting from initial assumptions of χ, our workflow combines Bayesian optimization, Flory–Rehner theory, and symbolic regression to generate candidate χ expressions.
Yawen Wang, Adrian Ehrenhofer, Thomas Wallmersperger   +2 more
wiley   +1 more source

Moving Average Control Charts for Burr X and Inverse Gaussian Distributions

Operations Research and Decisions, 2020
The Burr X and inverse Gaussian (IG) distributions have been considered to design an attribute control chart for time truncated life test with the moving average (MA) scheme w.
Ambreen Shafqat, Muhammad Aslam, Mohammed Albassam   +2 more
doaj  

Second Stage Short Run (X,vc) and (X,sc) Control Charts

In their'70 paper titled "Mean and Variance Control Chart Limits Based on a Small Number of Subgroups" (Journal of Quality Technology, Volume 2, Number 1, pp.
Kenneth E. Case, Jong-Min Kim, Matthew E. Elam   +2 more
core  

Recycling of NiTi Shape Memory Alloys: Fundamental and Technological Aspects of a Vacuum Induction Melting Processing Route

Advanced Engineering Materials, EarlyView.
The present study investigates recycling of NiTi shape memory alloys via vacuum induction melting. An ingot was synthesized from elemental Ni and Ti and subjected to three subsequent remelting cycles. Remelting increases process durations and impurity levels and adversely affects microstructures and functional properties.
Sakia Sophia Noorzayee, Son Tung Mai, Sarath Menon, Braulio Gadiel Sánchez Ortega, Ralf Drautz, Alexander Kauffmann, Gunther Eggeler, Jan Frenzel   +7 more
wiley   +1 more source

COMPARISON OF EXPONENTIALLY WEIGHTED MOVING AVERAGE CONTROL CHART WITH HOMOGENEOUSLY WEIGHTED MOVING AVERAGE CONTROL CHARTS AND ITS APPLICATION

Barekeng
The Exponentially Weighted Moving Average (EWMA) control chart is a widely used memory-type control chart known for detecting small shifts in process means.
Erna Tri Herdiani, Mustabsyirah Mustabsyirah   +1 more
doaj   +1 more source

APPLICATION OF U-CHART AND C-CHART IN TECHNOLOGICAL PROCESS OF PRIMARY WOOD PROCESSING

, 2014
Control charts are statistical methods of quality control. Basically it is a graph where the abscissa represents the order of control, and the ordinate is marked with parameter values, which are controled by samples over a certain size. Using charts
Damjan Stanojević, Slobodan Stefanović, Imre KISS   +2 more
core  

Evaluation of Plasticity and Creep Parameters From Tensile Stress–Strain Data for a Range of Strain Rates

Advanced Engineering Materials, EarlyView.
This plot compares experimental tensile stress–strain curves (with 4 different strain rates) and corresponding modelled curves (obtained using the optimised sets of Voce and Miller–Norton parameter values shown). The inferred M‐N values, characterizing the creep, are very similar to those obtained via conventional creep testing.
S. Ooi, R. P. Thompson, T. W. Clyne
wiley   +1 more source

Control Charts for the Lognormal Distribution

Control Charts are the main tools of Statistical Process Control. They are used for deciding whether a process is statistically stable or not. Much theory and many applications have been developed for the Gaussian (Normal) distribution in this area ...
Panaretos, John, Maravelakis, Petros, Psarakis, Stelios   +2 more
core