The most concerning issues in the healthcare system will always be quality control and improvement as they are significant to health condition of patient. A statistical tool such process (SPC) charts efficient highly effective reducing sources variation within monitoring or controlling process. chart is a methodology designed evaluate change manufacturing industry being implemented gradually se...

In this study, the manufacturing process of lamivudine (3TC) and zidovudine (AZT) tablets (150+300 mg respectively) was evaluated using statistical control (SPC) tools. These medicines are manufactured by Fundação para o Remédio Popular “Chopin Tavares de Lima” (FURP) laboratory, distributed free charge to patients infected with HIV Ministry Health DST/AIDS national program. Data 529 batches fr...

This article proposes an algorithm for deploying manpower to a statistical process control (SPC) system that monitors a multistage manufacturing system. The algorithm minimizes the expected total cost by optimizing the amount of allocated manpower in the SPC system (referred to as an M-SPC system), as well as the sample sizes, sampling intervals and control limits of the control charts. It also...

In manufacturing industries, development of measurement leads to increase the number of monitoring variables and eventually the importance of multivariate control comes to the fore. Statistical process control (SPC) is one of the most widely used as multivariate control chart. Nevertheless, SPC is restricted to apply in processes because its assumption of data as following specific distribution...

As a common approach in the development of control charts Statistical Process Control (SPC), an industrial process is monitored with one or more quality characteristics using their corresponding distributions. Note though, modelling through relation between some independent and dependent variables alternative which designated as profiles monitoring. This study proposes integration adaptive to c...

I N recent years, statistical process control (SPC) for autocorrelated processes has received a great deal of attention, due in part to the increasing prevalence of autocorrelation in process inspection data. With improvements in measurement and data collection technology, processes can be sampled at higher rates, which often leads to data autocorrelation. It is well known that the run length p...

Control chart is the most valuable tool in statistical process control (SPC) and it is used to monitor the changes in a process. It presents a graphical display of process stability or instability over time. This enable us to instantly understand, whether the process is under control or not. Hotelling’s T 2 chart is one of the most popular control charts for monitoring independently and identic...

In statistical process control (SPC), the ratio of two normal random variables (RZ) is a valuable indicator to be taken as charting statistic. this work, we propose triple exponentially weighted moving average (TEWMA) chart for monitoring RZ. Additionally, variable sampling interval (VSI) strategy has been adopted different charts by researchers. With application strategy, VSI-TEWMA-RZ then dev...

On-line monitoring of process variability is strategic to achieve high standards of quality and maintain at acceptable levels the number of nonconforming items. Shewhart control charts are the simplest Statistical Process Control (SPC) procedure to achieve this goal. An efficient implementation of a control chart requires the optimal selection of its design parameters. They can be selected acco...