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Angeliki Lappa

Bio: Angeliki Lappa is an academic researcher from National Technical University of Athens. The author has contributed to research in topics: Control chart & Moving average. The author has an hindex of 5, co-authored 13 publications receiving 56 citations.

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TL;DR: In this paper, a double moving average (DMA) control chart has been proposed for monitoring the process mean and several studies have also been done based on this scheme, however, the varianc...
Abstract: A double moving average (DMA) control chart has been proposed in the literature for monitoring the process mean. Several studies have also been done based on this scheme. Unfortunately, the varianc...

16 citations

Journal ArticleDOI
TL;DR: In some process control applications, the quality of a process or a product can be characterized by a relationship between a response variable and one or more independent variables which is typically referred to as a profile as mentioned in this paper.
Abstract: In some process control applications, the quality of a process or a product can be characterized by a relationship between a response variable and one or more independent variables which is typically referred to as a profile. For an in-control process, ..

14 citations


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TL;DR: The Journal is indexed by Academic Search (EBSCO Publishing), Academic Search Alumni Edition (AALE), EBSCO publishing, Advanced Technologies & Aerospace Database (ProQuest), COMPENDEX (Elsevier), Current
Abstract: ing and Indexi g The Journal is indexed by Academic Search (EBSCO Publishing), Academic Search Alumni Edition (EBSCO Publishing), Advanced Technologies & Aerospace Database (ProQuest), COMPENDEX (Elsevier), Current

44 citations

Journal ArticleDOI
TL;DR: Overall, performance study indicates that the Max-EWMA chart outperforms its existing counterparts with the same objective of detecting small shifts in process parameters and competes strongly in detecting large shifts.

35 citations

Journal ArticleDOI
TL;DR: An overview of monitoring schemes from a class called generally weighted moving average (GWMA) is provided in this article, where a number of possible future GWMA-related schemes are documented and categorized in such a manner that it is easy to identify research gaps.
Abstract: An overview of monitoring schemes from a class called generally weighted moving average (GWMA) is provided. A GWMA scheme is an extended version of the exponentially weighted moving average (EWMA) scheme with an additional adjustment parameter that introduces more flexibility in the GWMA model as it adjusts the kurtosis of the weighting function so that the GWMA scheme can be designed such that it has an advantage over the corresponding EWMA scheme in the detection of certain shift values efficiently. The parametric and distribution-free GWMA schemes to monitor various quality characteristics and its existing enhanced versions (i.e. double GWMA, composite Shewhart-GWMA, mixed GWMA-CUSUM and mixed CUSUM-GWMA) have better performance than their corresponding EWMA counterparts in many situations; hence, all such existing research works discussing GWMA-related schemes (i.e. 61 publications in total) are documented and categorized in such a manner that it is easy to identify research gaps. Finally, a number of possible future research ideas are provided.

20 citations