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| Content Provider | Springer Nature Link |
|---|---|
| Author | Shamsuzzaman, M. Khoo, M. B. C. Haridy, S. Alsyouf, I. |
| Copyright Year | 2014 |
| Abstract | This article presents an algorithm for the optimization design of the three exponentially weighted moving average control chart scheme (3-EWMA scheme in short) for monitoring a range of mean shifts. The design algorithm optimizes the charting parameters of the 3-EWMA scheme, based on extra quadratic loss function. The results of comparative studies and an example show that the optimal 3-EWMA scheme always outperforms the basic 3-EWMA scheme, as well as the other EWMA charts under different specifications. According to a 2k factorial experiment, the optimal 3-EWMA scheme outperforms the main competitor, the basic 3-EWMA scheme, by more than 15 %, on average. Although the design of the optimal 3-EWMA scheme is more difficult than that of the conventional EWMA charts, it can be easily computerized. Moreover, this article provides the statistical process control (SPC) practitioners with a design table to facilitate the designs of the 3-EWMA schemes. From this design table, the users can directly find the optimal values of the charting parameters according to the design specifications. In general, this article will help to enhance the detection effectiveness of the 3-EWMA scheme, and facilitate its applications in SPC. |
| Starting Page | 1061 |
| Ending Page | 1076 |
| Page Count | 16 |
| File Format | |
| ISSN | 02683768 |
| Journal | The International Journal of Advanced Manufacturing Technology |
| Volume Number | 74 |
| Issue Number | 5-8 |
| e-ISSN | 14333015 |
| Language | English |
| Publisher | Springer London |
| Publisher Date | 2014-06-20 |
| Publisher Place | London |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Manufacturing industries Quality control Statistical process control Control chart EWMA chart Random process shift Industrial and Production Engineering Production/Logistics/Supply Chain Mechanical Engineering Computer-Aided Engineering (CAD, CAE) and Design |
| Content Type | Text |
| Resource Type | Article |
| Subject | Industrial and Manufacturing Engineering Control and Systems Engineering Mechanical Engineering Computer Science Applications Software |
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