Control charts are the most important tools of statistical process control used to discriminate between assignable and common causes of variation and to improve the quality of a process. To design a control chart, three parameters including sample size, sampling interval, and control limits should be determined. The objectives are hourly expected cost, in-control average run length, power of th...

This paper studies an attribute control chart for monitoring the number of nonconforming items using a triple sampling (TS-np) which has not yet been applied to charts. The design and procedure decision about state process are given. Mathematical expressions average run length (ARL) in-control out-of-control processes sample (ASN) A bi-objective genetic algorithm that seeks minimize ASN probabi...

The classical Shewhart np-chart that constructed based on the binomial distribution is inappropriate in monitoring over-dispersion and correlated binary data where it tends to overestimate or underestimate the dispersion and subsequently lead to higher or lower false alarm rate in detecting out-of-control signals. Consequently, the np-chart is recommended based on a multiplicative-binomial dist...

To keep an eye on the status of high-quality processes for fraction nonconforming, synthetic double sampling (SDS) np chart is a helpful tool. The SDS hybrid between (DS) and conforming run length (CRL) chart. performance control typically judged solely using average (ARL). However, as shape (RL) distribution varies with magnitude shift in process ARL no longer provides clear interpretation cha...

The control charts are graphical tools and proven techniques to improve the performance of a process. Usually, the processes are not naturally controlled, so the use of control charts will help to reduce the variability and increase the stability of the process. In the traditional approach, control charts with fix sample size and constant sampling intervals were used to identify the changes in ...

Message sequence charts (MSCs) and high-level message sequence charts (HMSCs) are popular formalisms for the speciication of communication protocols between asynchronous processes. An important concept in this context is the size of the communication buuers used between processes. Since real systems impose limitations on the capacity (or speed) of communication links, we ask whether a given HMS...

The nonparametric (NP) control charts are famous for detecting a shift in the process parameters (location and/or dispersion) when underlying characteristic does not follow distributional assumptions. Similarly, cost of estimations is very high and ranking observational relatively simple, ranked set sampling (RSS) technique preferred over simple random (SRS) technique. On other hand, NP triple ...

CPO dan kernel merupakan dua komoditi utama dari suatu perusahaan pengelola kelapa sawit. Komoditi produk ini, akan bergantung pada pengolahan sawit yang dilakukan di masing-masing stasiunnya. Keberadaan factor tertentu menyebabkan adanya cacat, kotor, atau bahkan kadar air tidak sesuai dengan batas kendalinya. Dalam penelitian PT. Inti Indosawit Subur PMKS Tungkal Ulu dianalisa metode nchart, ...