Abstract Although individual studies on the milk component responses to diet and rumen fermentation parameters, notably pH, have identified relationships, these not been widely summarized. Therefore, a meta-analysis was conducted with objective of evaluating how fat protein percentage change in response (D), parameters (R) combination both (R+D) variables. A secondary evaluate models differed w...

CONTRIBUTING AUTHORS: Robin Alvares, PhD, CCCSLP; Marnee Brick, MSc, S-LP; Kelly J. Brown, MA; Michael F. Campbell, MS, MBA, CCC-SLP; Charles H. Carlin, PhD, CCC-SLP; Emily L. Carlin, MA, CCC-SLP; Gabriella Constantinescu, PhD, BSpPath (Hons); Sena Crutchley, MS, CCC-SLP; Dimity Dornan, AM, Associate Professor UQ, HonDUniv USQ, BSpThy, FSPAA, CpSp, LSLS Cert AVT; Anne M. Fleming, MA; Rodney Gab...

abstract. in recent years several studies have shown that  control charts with adaptive schemes or double sampling plans detect both small and moderate shifts in the process mean more quickly than the traditional shewhart  chart. in the classical double sampling  chart, the difference between two points were placed in the central region of first stage was not considered. in this study, a new co...

This paper formulates Shewhart mean (X-bar) and range (R) control charts for diagnosis and interpretation by artificial neural networks. Neural networks are trained to discriminate between samples from probability distributions considered within control limits and those which have shifted in both location and variance. Neural networks are also trained to recognize samples and predict future poi...

Control chart is the most important Statistical Process Control tool used to monitor reliability and performance of industrial processes. For monitoring changes in process dispersion, the R and S charts are widely used. These control charts perform better under the ideal assumption of normality but are well known to be very inefficient in presence of outliers or departures from normality. In th...

chlormequat (cycocel or ccc), the plant growth retardant, was evaluated for its ability to control plant height in brassica oleracea cultivar ‘kamome white’ and ‘nagoya red’. different concentrations of ccc (0, 500, 1000 and 1500 mg/l) were sprayed and drenched on plants 40 days after transplanting. data were recorded the 60 and 90 days after transplanting. the 1500 mg/l of ccc resulted in abou...

An effective control scheme can be instrumental in increasing productivity and reducing cost. While facing an outlier-existing process, using the mean ( X ) control chart and the range (R) control chart for monitoring the process mean and variance will lead to high level false alarms. Recently, some median ( X~ ) control charts, such as the X~ Shewhart control chart, the exponentially weighted ...

this paper addresses the design of control charts for both variable ( x chart) andattribute (u and c charts) quality characteristics, when there is uncertainty about the processparameters or sample data. derived control charts are more flexible than the strict crisp case, dueto the ability of encompassing the effects of vagueness in form of the degree of expert’spresumption. we extend the use o...

The cumulative sum (CUSUM) control chart is widely used in industry for the detection of small and moderate shifts in process location and dispersion. For efficient monitoring of process variability, we present several CUSUM control charts for monitoring changes in standard deviation of a normal process. The newly developed control charts based on well-structured sampling techniques - extreme r...

the efficiency and robustness of reliability methods are two important factors in first order reliability method (form). the conjugate choice control (ccc) and directional chaos control method (dcc) were developed to improve the robustness and efficiency of form formula using the stability transformation method. in this paper, the ccc and dcc methods are applied for reliability analysis of a co...