No abstract

No abstract

In this manuscript, we present a repetitive group sampling plan and a multiple dependent state sampling plan based on the EWMA (exponentially weighted moving average) yield index for product acceptance. The proposed plans utilize the current and the previous information through EWMA statistic to reach a decision of lot sentencing. A non-linear optimization model is developed to determine the plan parameters of the proposed plans for various specified conditions. The performance of the proposed plans over several existing sampling plans is analyzed, which shows that the proposed plans are efficient in reducing the sample size for lot sentencing. For industrial application, a real example is given to demonstrate the implementation of the proposed plans.

In this study, we use the single-winged seeds flying model to study the relevant parameters. Afforestation used as sowing carrier stay in the air spill design to improve sowing distance. This study is further implemented the method currently carried out by Forestry Bureau for afforestation and soil conservation. This study is funded by the relevant principles of fluid dynamics to explore: physical analysis of the five seeds. Reads as follows: (1) structure and trajectory, (2) advance ratio, (3) lift thrust vs. pitch angle, (4) loading vs. terminal velocity, (5) cut-off angle area.. Finally, this study design some carrier models for testing. Spill sowing the spacing and the drift distance experiment analysis results. With experimental data, (shown in Table 2). This research used easy materials that you can make a lot. Fluid mechanical principles could be excellent learning materials for children to explore the use of teaching aids.

Process capability indices, Cp, Cpk, and Cpm, are well-known indices used widely in the manufacturing industry for measuring process reproduction capability according to manufacturing specifications, but limited to cases with single engineering specification. Therefore, for processes where the quality characteristic is the location relative to a specific location, they can not provide an effective measure. In this paper, we propose a process loss index LG to evaluate the process capability for this issue. Based on the index, we provide the corresponding transformation for production yield. In addition, we tabulate some critical values for process loss index LG to judge if the process capability is capable. The proposed method is useful for the practitioners to measure the process loss and determine whether a process meets the present process yield requirement.