...), this study applies Statistical Process Control (SPC) to monitor the length of stay (LOS) for Total Hip Arthroplasty (THA) and Total Knee Arthroplasty (TKA) patients over time. Findings I-MR and EWMA charts identify statistically out-of-control LOS values, suggesting potential variations...

... Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Statistical process control Machine learning Smart manufacturing Non-conforming product Networking technologies and Internet of things (IoT) are being the foundations of the Fourth Industrial...

... function is given by: Angelo Marcio Oliveira Sant’Anna can be contacted at: angelo.santanna@ufba.br 30 09 2021 11 11 2021 24 12 2021 © Emerald Publishing Limited 2021 Emerald Publishing Limited Licensed re-use rights only Statistical process control E-waste...

... Licensed re-use rights only Coefficient of variation Statistical process control Average run length Exponentially weighted moving average chart Hybrid exponentially weighted moving average A control chart is one of the important tools of statistical process control for the monitoring...

...Barry Cobb; Linda Li Purpose Bayesian networks (BNs) are implemented for monitoring a process via statistical process control (SPC) where attribute data are available on output from the system. The paper aims to discuss this issue. Design/methodology/approach The BN provides a graphical...

... _c= 0 . These equations are known as logit links and since π i c = 1 − ∑ j = 1 c − 1 π i j , one would have c−1 logit equations. It can be easily shown that: Logistic regression Signal probability Statistical process control Likelihood ratio...

...Sarina Abdul Halim Lim; Jiju Antony; Zhen He; Norin Arshed Purpose Statistical process control (SPC) is widely applied for control and improve processes in manufacturing, but very few studies have reported on the successful application of SPC in the food industry, in particular. The purpose...

...@shahed.ac.ir 12 06 2015 17 03 2016 19 07 2016 © Emerald Publishing Limited 2017 Emerald Publishing Limited Licensed re-use rights only Statistical process control Outlier Logistic regression profiles Robust approach Weighted maximum likelihood estimation Model parameters...

... Licensed re-use rights only Total quality management Interpretive structural modelling TQM drivers Statistical process control TQM enablers Hierarchical nature Since the introduction of the statistical process control techniques during the 1920s and 1930s, quality management has evolved...

.... The paper shows that the simulation method and use of linear regression are effective alternatives because they are better known and more easily applied in industrial settings. Therefore, the need for alternatives to the X control chart comes into play. Statistical process control Capability...

... the high-quality processes that aim for well-behaved processes with zero defects. The proposed methodology for the development of such a chart is quite new in the field of SPC and hence Six Sigma. Statistical process control High-quality processes Six Sigma quality control chart Target range Upper...

..., taking into consideration the location of the process mean. C_pk should be computed based on Equation (15) (Pan and Wu, 1997): (Equation 23) (Equation 24) (Equation 25) (Equation 26) Fuzzy Statistical process control Process capability indices...

... Limited 2014 Statistical process control AATS ANSIC ARL Life-cycle costs Shewhart (1930) introduced the quality control charts giving a simple, but powerful statistical tool, to assess and monitor the performance of a production process. However, the Shewhart type control charts...

... by analyzing inputs and process dimensions critical to SCM performance. Output measures include: quality, process capability and process cost. Measuring the quality performance of the processes by statistical process control helps to determine the process Z, (Sigma capability). Cost is related...

... of defective units is negligibly small when a well‐established process is in control. © Emerald Group Publishing Limited 2012 Quality control Statistical process control Control charts Exponentially weighted moving average chart Defective minimization Random process shift...

... process dispersion. Statistical process control Control charts Dispersions Design Before starting the chart implementation, its parameters should be designed. The economic design of a control chart allows a decision maker to select the chart design parameters by achieving an expected quality...

... the dynamic programming procedure working in conjunction with Genetic Algorithms is successfully extended to the design of the Bayesian two‐sided control charts. Control charts Production processes Statistical process control Fixed parameters (FP) Shewhart control charts are one of the most...

... statistical process control (SPC) tool is the traditional Shewhart X¯ control chart. The chart is used to monitor the process mean based on the assumption that the underlying distribution of the quality characteristic is normal and there is no major contamination due to outliers. The sample...

... in terms of performance is relevant. Practical implications In the practice, the minimization of total expected costs is an important point of view in the life of companies, concerning quality and statistical process control (SPC). The paper holds that this NSI method has a great degree of potential...

... procedure has been developed for the comparative analyses of adaptive X¯ charts, but it could be adjusted for other adaptive charts as well. Originality/value This paper provides a review of the performance of adaptive control charts from a novel perspective. Statistical process control...