Search Results - subject:"PROCESS CONTROL"

A Confrontation of Lattice Boltzmann, Finite Difference and Taguchi Experimental Design Results for Optimizing Plasma Spraying Operating Conditions Toward Deposit Requirements

Djebali, Ridha - In: International Journal of Energy Optimization and … 6 (2017) 4, pp. 16-34

The aim of the present work is the confrontation of three numerical techniques results to optimize the operating conditions of thermal plasma spraying process. The Lattice Boltzmann method (LBM) is used to scrutinize dispersion effects of injection parameters on droplet impact characteristics...

Persistent link: https://www.econbiz.de/10012044570

Critical observations on the statistical process control implementation in the UK food industry : A survey

Abdul Halim Lim, Sarina; Antony, Jiju; He, Zhen; … - In: International Journal of Quality & Reliability Management 34 (2017) 5, pp. 684-700

Purpose Statistical process control (SPC) is widely applied for control and improve processes in manufacturing, but …

Persistent link: https://www.econbiz.de/10014801592

Investigation into the hierarchical nature of TQM variables using structural modelling

Veltmeyer, Johan; Mohamed, Sherif - In: International Journal of Quality & Reliability Management 34 (2017) 4, pp. 462-477

Purpose The purpose of this paper is to provide the empirical evidence supporting the existence of a multi-level hierarchical TQM model showing the structural inter-relationships among a total of 16 TQM variables (i.e. drivers, enablers and outcomes). Design/methodology/approach The set of...

Persistent link: https://www.econbiz.de/10014801685

Robust approaches for monitoring logistic regression profiles under outliers

Hakimi, Ahmad; Amiri, Amirhossein; Kamranrad, Reza - In: International Journal of Quality & Reliability Management 34 (2017) 4, pp. 494-507

Purpose The purpose of this paper is to develop some robust approaches to estimate the logistic regression profile parameters in order to decrease the effects of outliers on the performance of T 2 control chart. In addition, the performance of the non-robust and the proposed robust control...

Persistent link: https://www.econbiz.de/10014801686

Control chart for high-quality processes based on Six Sigma quality

Joghee, Ravichandran - In: International Journal of Quality & Reliability Management 34 (2017) 1, pp. 2-17

Purpose The purpose of this paper is to develop an innovative and quite new Six Sigma quality control (SSQC) chart for the benefit of Six Sigma practitioners. A step-by-step procedure for the construction of the chart is also given. Design/methodology/approach Under the assumption of normality,...

Persistent link: https://www.econbiz.de/10014801775

The X -bar control chart with restriction of the capability indices

Oprime, Pedro Carlos; Mendes, Glauco Henrique de Sousa - In: International Journal of Quality & Reliability Management 34 (2017) 1, pp. 38-52

Purpose The purpose of this paper is to find the configuration of the number ( m ) and size ( n ) of the sample in Phase I that would make it possible to detect the out-of-control (OOC) state of the process with the smallest number of samples and ensure a capability index ( C pk ) that would...

Persistent link: https://www.econbiz.de/10014802017

An integrated approach for multivariate statistical process control using Mahalanobis-Taguchi System and Andrews function

Sikder, Sagar; Panja, Subhash Chandra; Mukherjee, Indrajit - In: International Journal of Quality & Reliability Management 34 (2017) 8, pp. 1186-1208

statistical process control (MSPC) approach with an ability to recognize out-of-control points, identify the key influential … plot, and nonlinear optimization for multivariate process control. Mahalanobis distance, Taguchi’s orthogonal array, and …. Findings The case studies illustrate the potential of the proposed integrated multivariate process control approach for easy …

Persistent link: https://www.econbiz.de/10014802250

Process control and economic cost design for total quality management

Park, Minjae; Kim, Jennifer Jae-Young; Kwon, Kyoung-min; … - In: Total quality management & business excellence : an … 28 (2017) 8, pp. 858-878

Persistent link: https://www.econbiz.de/10011977055

Quality enhancement through first pass yield using statistical process control

Nataraj, Sukrut; Ismail, Mohammed - In: International journal of productivity and quality … 20 (2017) 2, pp. 238-253

Persistent link: https://www.econbiz.de/10011719632

Exponentially weighted control charts to monitor multivariate process variability for high dimensions

Gunaratne, Nadeera Gnan Tilshan; Abdollahian, Malihe Akhavan - In: International journal of production research 55 (2017) 17/18, pp. 4948-4962

Persistent link: https://www.econbiz.de/10011723841